{
"cells": [
{
"cell_type": "markdown",
"id": "c097d99e",
"metadata": {},
"source": [
"# Rstoolbox IO & Silent Extraction\n",
"\n",
"@Author: 吴炜坤\n",
"\n",
"@email：weikun.wu@xtalpi.com/weikunwu@163.com"
]
},
{
"cell_type": "markdown",
"id": "e8001d5a",
"metadata": {},
"source": [
"rstoolbox是由RosettaCommon社区开发者jaumebonet开发的一款专门用于分析Rosett Silent文件的工具包。他可以以pandas的DataFrame的形式对Silent文件中的数据进行提取，使用其中的一些API可以非常方便地进行分析和作图。"
]
},
{
"cell_type": "markdown",
"id": "442b040d",
"metadata": {},
"source": [
"> github: https://github.com/jaumebonet/RosettaSilentToolbox\n",
"\n",
"> doc: http://jaumebonet.cat/RosettaSilentToolbox"
]
},
{
"cell_type": "markdown",
"id": "db62e197",
"metadata": {},
"source": [
"### 一、安装"
]
},
{
"cell_type": "markdown",
"id": "a71f77a2",
"metadata": {},
"source": [
"命令解决:\n",
"```\n",
"pip install rstoolbox\n",
"```"
]
},
{
"cell_type": "markdown",
"id": "dc87e169",
"metadata": {},
"source": [
"配置环境: 在\\$HOME 目录下创建.rstoolbox.cfg文件。\n",
"```\n",
"cd ~\n",
"vi ~/.rstoolbox.cfg\n",
"```"
]
},
{
"cell_type": "markdown",
"id": "d3abfe5c",
"metadata": {},
"source": [
".rstoolbox.cfg文件中的内容:\n",
"```\n",
"rosetta:\n",
" compilation: macosclangrelease\n",
" path: /Volumes/MiniTwo/bin/Rosetta/main/source/bin/\n",
"system:\n",
" output: ./\n",
" overwrite: false\n",
"```"
]
},
{
"cell_type": "markdown",
"id": "ed86ab69",
"metadata": {},
"source": [
"关键设置:\n",
"- compilation: rosetta app的后缀名\n",
"- path: rosetta app所处的bin文件夹 【因此本地环境中需要额外安装好Rosetta】"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "f3c55867",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"PyRosetta-4 2021 [Rosetta PyRosetta4.conda.mac.cxx11thread.serialization.python37.Release 2021.31+release.c7009b3115c22daa9efe2805d9d1ebba08426a54 2021-08-07T10:04:12] retrieved from: http://www.pyrosetta.org\n",
"(C) Copyright Rosetta Commons Member Institutions. Created in JHU by Sergey Lyskov and PyRosetta Team.\n",
"\u001b[0mcore.init: {0} \u001b[0mChecking for fconfig files in pwd and ./rosetta/flags\n",
"\u001b[0mcore.init: {0} \u001b[0mRosetta version: PyRosetta4.conda.mac.cxx11thread.serialization.python37.Release r292 2021.31+release.c7009b3115c c7009b3115c22daa9efe2805d9d1ebba08426a54 http://www.pyrosetta.org 2021-08-07T10:04:12\n",
"\u001b[0mcore.init: {0} \u001b[0mcommand: PyRosetta -ex1 -ex2aro -database /opt/miniconda3/lib/python3.7/site-packages/pyrosetta/database\n",
"\u001b[0mbasic.random.init_random_generator: {0} \u001b[0m'RNG device' seed mode, using '/dev/urandom', seed=-1662175019 seed_offset=0 real_seed=-1662175019 thread_index=0\n",
"\u001b[0mbasic.random.init_random_generator: {0} \u001b[0mRandomGenerator:init: Normal mode, seed=-1662175019 RG_type=mt19937\n"
]
}
],
"source": [
"# 初始化pyrosetta\n",
"from pyrosetta import *\n",
"init()"
]
},
{
"cell_type": "markdown",
"id": "b7220557",
"metadata": {},
"source": [
"### 二、SilentFiles文件的获取"
]
},
{
"cell_type": "markdown",
"id": "bfd99aee",
"metadata": {},
"source": [
"在第一章节，我们曾经提及过如何从Pose中输出SilentFiles以及如何在Pose中添加额外的信息，同时SimpleMetrics中的信息也会被自动储存到SilentFiles文件中。所以一个标准的流程跑下来SilentFiles应该有着所有我们需要分析的数据。"
]
},
{
"cell_type": "markdown",
"id": "bad49807",
"metadata": {},
"source": [
"复习一下输出Silent文件以及在Pose中添加额外的信息的方法:"
]
},
{
"cell_type": "markdown",
"id": "5c450bf7",
"metadata": {},
"source": [
"**以下的设计可能会耗时比较久，可以选择性跳过，结果文件已经储存在data文件夹下！**"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "3feaea1e",
"metadata": {},
"outputs": [],
"source": [
"# # 举例使用FastDesign快速设计一些序列和结构:\n",
"# from pyrosetta import pose_from_pdb, init, create_score_function\n",
"# from pyrosetta.rosetta.protocols.denovo_design.movers import FastDesign\n",
"# from pyrosetta.rosetta.core.pack.task import TaskFactory\n",
"# from pyrosetta.rosetta.core.pose import Pose\n",
"# from pyrosetta.io import poses_to_silent\n",
"\n",
"# init('')\n",
"\n",
"# # load pose\n",
"# starting_pose = pose_from_pdb('./data/EHEE_rd4_0976.pdb')\n",
"# ref2015 = create_score_function('ref2015')\n",
"# design_tf = TaskFactory()\n",
"\n",
"# # setup FastDesign\n",
"# fastdesign = FastDesign(ref2015, 1)\n",
"# fastdesign.set_default_movemap() #使用默认的Movemap()\n",
"# fastdesign.set_task_factory(design_tf)\n",
"\n",
"# # design for 10 times: code for design pose.\n",
"# for i in range(10):\n",
"# design_pose = Pose()\n",
"# design_pose.assign(starting_pose) # assign pose\n",
"# fastdesign.apply(design_pose) ## apply design\n",
"# # output to silent file;\n",
"# poses_to_silent(fastdesign, './data/design_result.silent')"
]
},
{
"cell_type": "markdown",
"id": "231e9523",
"metadata": {},
"source": [
"### 三、使用rstoolbox做数据分析"
]
},
{
"cell_type": "markdown",
"id": "6076ff0d",
"metadata": {},
"source": [
"上述我们已经通过分析计算了10条蛋白质的序列和结构，目前我们需要对输出的Silent文件进行分析，从中提取需要的数据并作图展示。\n",
"rstoolbox主要可用于:\n",
"- 分析序列profile\n",
"- 分析储存在silent文件中的score/其他数据，作图展示\n",
"- 比较不同参数设计的结果性质分布\n",
"- 分析、筛选以及导出满足需求的序列和结构"
]
},
{
"cell_type": "markdown",
"id": "0833d28e",
"metadata": {},
"source": [
"#### 3.1 Silent文件数据读取"
]
},
{
"cell_type": "markdown",
"id": "22810057",
"metadata": {},
"source": [
"rstoolbox读取数据时，第一步要确定load什么数据。load数据的填写格式可以参考:\n",
"> http://jaumebonet.cat/RosettaSilentToolbox/tutorials/readrosetta.html#readrosetta"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "2bebdd6e",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/miniconda3/lib/python3.7/site-packages/libconfig/config.py:25: FutureWarning: Passing a negative integer is deprecated in version 1.0 and will not be supported in future version. Instead, use None to not limit the column width.\n",
" pd.set_option('display.max_colwidth', -1)\n"
]
}
],
"source": [
"# 初始化\n",
"import rstoolbox as rs\n",
"from rstoolbox.io import parse_rosetta_file"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "566037da",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>score</th>\n",
" <th>fa_atr</th>\n",
" <th>fa_rep</th>\n",
" <th>fa_sol</th>\n",
" <th>fa_intra_atr_xover4</th>\n",
" <th>fa_intra_rep_xover4</th>\n",
" <th>fa_intra_sol_xover4</th>\n",
" <th>lk_ball</th>\n",
" <th>lk_ball_iso</th>\n",
" <th>lk_ball_bridge</th>\n",
" <th>...</th>\n",
" <th>nres_loop</th>\n",
" <th>nres_sheet</th>\n",
" <th>nres_total</th>\n",
" <th>percent_core</th>\n",
" <th>ss_mismatch_probability</th>\n",
" <th>PHI</th>\n",
" <th>PSI</th>\n",
" <th>SSE</th>\n",
" <th>description</th>\n",
" <th>sequence_A</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>-115.348</td>\n",
" <td>-248.220</td>\n",
" <td>23.856</td>\n",
" <td>204.601</td>\n",
" <td>-19.273</td>\n",
" <td>8.070</td>\n",
" <td>17.321</td>\n",
" <td>99.223</td>\n",
" <td>-105.788</td>\n",
" <td>-0.548</td>\n",
" <td>...</td>\n",
" <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.256</td>\n",
" <td>0.302</td>\n",
" <td>0.0,-66.61703742125313,-66.66204304586961,-64.2627475879439,-66.44318693590479,-65.27866717342658,-55.47564223945256,-60.55650264141377,-64.22576792577901,-64.02494083109615,-66.58947909877377,-63.445941933853376,-82.68156985834482,57.87345390963645,-67.16285450680006,-89.02662257634594,-89.709039177475,-77.08106174109108,-69.61483090932575,-65.15474559676444,-57.74476095018723,-63.16713300307241,-70.47268396961864,-68.51553046099137,-64.51032489503767,-63.496345967103316,-64.2865806993615,-68.00154858290396,101.8111743976923,-94.05687803119253,-83.05266794048505,-79.29649799606862,-63.645260272174184,-68.98036302624823,-70.56949099309887,-60.852820372348376,-65.40300963386642,-60.40027121280268,-69.43870153142986,-60.722972493878466,-72.37369148915171,-66.88119749195621,-158.01695932191876</td>\n",
" <td>-15.270410929420306,-27.453350620107514,-43.343499065683496,-41.50737623458657,-38.729269075765906,-43.740823999394834,-47.811348775724895,-39.95352552646714,-40.32243118212867,-35.90586187723031,-43.04035388824186,-33.76244729550682,1.3499443829536215,43.743951291249864,141.23579948572367,-28.018696371231332,49.3329196277017,-32.92968480556337,-37.82091957363441,-39.94325194788841,-49.386346222146415,-45.9522658156121,-37.233887342561125,-44.33228429648577,-33.859499865924036,-48.468920043307065,-39.5520664499651,-34.27235262288263,19.10615110194125,-26.542008131567737,130.03494579330095,166.1985356807009,-40.07836591289924,-44.039394152274824,-36.271535277646635,-51.21028563456098,-41.640579618357776,-51.18460949128726,-33.73971300615915,-36.61614548071734,-36.54068430712844,-45.00943197786171,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHHLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032157.pdb</td>\n",
" <td>SHIEEIFKELQRQNASNLREFVEEAWRRGEMSEELYKKMKKIV</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>-111.579</td>\n",
" <td>-239.381</td>\n",
" <td>25.203</td>\n",
" <td>188.087</td>\n",
" <td>-15.924</td>\n",
" <td>10.248</td>\n",
" <td>12.333</td>\n",
" <td>102.075</td>\n",
" <td>-103.115</td>\n",
" <td>-0.478</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.349</td>\n",
" <td>0.267</td>\n",
" <td>0.0,-64.3519467853161,-63.418086930463815,-65.56673176992616,-62.937028353387916,-64.84600479810152,-60.46768276861964,-64.99142204050862,-59.049636840404,-63.18631177283314,-58.85645964636771,-64.35015465192834,-97.54005666361657,-52.86373021885636,100.75694461007625,-71.36374889851632,-72.82703291356235,-61.32485242033397,-64.54206754213402,-64.50010229369639,-64.6732629210743,-57.12234914566474,-61.09981426241765,-64.47279134871839,-62.10672300145529,-66.14427121037937,-66.00261452846901,-68.06192326827916,-69.68543652922278,91.85104777792408,-81.18992895090004,-109.41994732519733,-61.87846575537298,-61.974640237969076,-65.06401434230709,-62.69618238650833,-58.63360441093861,-57.32725924615807,-58.089019700406446,-63.92901632178451,-78.36838629831337,-67.86420289769583,-89.24805136111644</td>\n",
" <td>135.29049056466624,-44.3565372650317,-39.44213431209112,-39.813270032614355,-44.34201877339164,-43.534511504796356,-41.92051977907319,-40.62558720133791,-44.1940958663573,-43.6038936284092,-48.88955537867602,-34.80524214505524,18.73689667446474,134.23485792624905,-14.193883138670655,156.87051590470855,163.20839740726998,-37.125238128619756,-41.06313289927764,-43.28759722099899,-41.801725412414605,-48.76218444761745,-43.068821843732735,-40.55155304541878,-38.54489931440367,-36.85904541676932,-35.12446892323645,125.3914543230007,145.65503193618588,-8.208151559667714,126.69306929503253,-174.3708053732862,-38.44431561898169,-46.07858141526455,-37.39032838784732,-45.66377989383726,-40.39137357798858,-48.76846703504008,-38.57259568994066,-33.276471026442586,-34.93916532435953,-38.69601513404585,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032313.pdb</td>\n",
" <td>SVEEIVKKMIKKASGASREQIKKLAEKIPGVDERVIKMAERLI</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>-107.145</td>\n",
" <td>-245.738</td>\n",
" <td>23.800</td>\n",
" <td>223.426</td>\n",
" <td>-17.090</td>\n",
" <td>6.658</td>\n",
" <td>15.022</td>\n",
" <td>112.316</td>\n",
" <td>-111.729</td>\n",
" <td>-0.325</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.163</td>\n",
" <td>0.281</td>\n",
" <td>0.0,-65.67988795578451,-63.810354341309825,-66.02631367384691,-62.52707616603043,-63.14156238435789,-57.622158107998445,-67.00528688950165,-62.262488202654865,-56.67415089889363,-75.70994045838138,-57.82533593806999,-59.59509360861571,-107.55320642586815,-158.6619894605935,-60.21877818562311,-77.72389500225836,-66.73588150093684,-58.28927125331593,-63.51405894541939,-64.2112927310839,-69.99061840234413,-63.167751675530006,-61.341939555083336,-62.479825943586405,-64.86060162547874,-66.09188262454094,-74.38667346389701,76.63920879829728,-63.18352223795158,-159.69209623128305,-71.53124764266492,-68.15041659663433,-67.36767207528698,-69.8458102064516,-66.3839607671189,-61.57783095416169,-62.74107723116324,-63.47241380519334,-64.46457303636892,-76.13233073851131,-73.17889096830872,-78.7192332015827</td>\n",
" <td>169.09647837628498,-38.48610986516323,-37.445295306603136,-40.034129454495364,-41.834791793462465,-41.06188007692538,-51.58163334308966,-34.94163317775788,-44.66379813137101,-38.533143540345364,-45.42500838170542,-36.897986758152186,-23.396858595182916,-35.92803772141464,95.48536968252863,-25.673874565266583,-37.54831860695169,-38.97888818191979,-41.1154614010036,-41.7877290810818,-41.08227751004935,-32.58560008045613,-40.321241605636544,-43.801834336452735,-41.654211107244144,-48.31989573685587,-34.35399011170958,-7.225226659148367,25.0225457801468,-48.73117370127896,160.46243708095133,162.4646737504978,-26.420342328218975,-42.254404777018586,-41.76209955541568,-38.34376695162168,-43.453214025532574,-41.121342661767876,-38.10191093818169,-37.77791301457546,-35.21126264156708,-38.34464722698572,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032428.pdb</td>\n",
" <td>SEEEKEFLKRVKDKDPELAKKMQKLLENGYASIEQLQKQLEKR</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>-116.810</td>\n",
" <td>-243.867</td>\n",
" <td>21.962</td>\n",
" <td>204.181</td>\n",
" <td>-19.960</td>\n",
" <td>7.784</td>\n",
" <td>15.809</td>\n",
" <td>99.764</td>\n",
" <td>-105.959</td>\n",
" <td>-0.406</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.256</td>\n",
" <td>0.263</td>\n",
" <td>0.0,-60.41701762419428,-62.675160123107226,-70.10098078315754,-64.88399338823248,-69.65684202319159,-59.603332249509705,-64.4636382929172,-66.62407160551683,-68.01143557705103,-67.5380429291549,-73.80987013133573,-90.85796234297753,-69.94094913557602,-79.81313507238924,-94.81372016085895,-151.03575484796272,-65.63837798853463,-61.132050356335164,-63.47669383079445,-64.8374521706156,-58.34859948618523,-62.7030418816911,-66.88012705092636,-63.3090138766452,-66.67452906083983,-63.007572751935776,-90.96756434017595,51.691141337611676,-85.84308565212628,-74.69164821856461,65.50240324414355,-66.40320359459368,-65.30457235609691,-61.29426610974433,-65.92025799759239,-61.072022534417314,-59.010936427298354,-65.33854952588165,-62.64194002032411,-79.04483017805029,-70.18726567742983,-100.86203701342042</td>\n",
" <td>86.74988983051828,-35.43574203071179,-44.264025830871745,-40.264730299547274,-42.00316272215953,-43.08710072713454,-39.0367254939542,-41.58783205986145,-38.48062529563729,-34.43132537612126,-44.539483318275025,-40.968118195248366,105.54981797603179,-8.611823088569498,-12.731158985482608,188.41102386615586,117.68107209112323,-31.37530121369642,-41.74732274223366,-41.378424084585916,-45.07194621269743,-48.39564053902063,-39.383863140665454,-43.82211734772339,-38.140323684482496,-43.66674349744812,-36.128816745921185,8.596738620396577,44.30053003129075,149.508606440333,157.78686210264664,18.797113052684725,-21.577057865304276,-23.03697033590036,-45.3551632047944,-42.054520962554825,-39.58632838781002,-49.411982585802136,-38.503412389800715,-43.68088267743077,-35.701322994965885,-45.27853349148709,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032600.pdb</td>\n",
" <td>SEIEELAKRLLKDSRGDLRKLLEELQRNNQPNYQYVEHLLRKY</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>-121.064</td>\n",
" <td>-244.426</td>\n",
" <td>29.031</td>\n",
" <td>221.440</td>\n",
" <td>-17.579</td>\n",
" <td>6.851</td>\n",
" <td>14.169</td>\n",
" <td>107.873</td>\n",
" <td>-114.030</td>\n",
" <td>-0.525</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.256</td>\n",
" <td>0.287</td>\n",
" <td>0.0,-51.87091799368676,-64.6619591856215,-67.61696240054658,-68.15975572226549,-71.10474117445663,-62.46121453509447,-62.61452674806745,-67.89731257742798,-62.55881781233866,-68.5433416761228,-63.82896994855344,-85.80341139138933,56.238664341087066,-69.16292169749866,-69.21465142956552,-101.90658947165075,-60.46202918505737,-69.99063157805487,-65.54272678848187,-66.10689404058697,-60.979556832525034,-59.496566229136114,-66.39828838949327,-66.26009193783216,-65.49731637112234,-73.73102319912029,-73.8132209120679,-69.16042616655248,-86.52764131526719,-68.9760938350884,-77.84712300540829,-52.324042504390604,-60.13170929156555,-75.09475589765687,-57.594179672415535,-62.4475439910981,-61.26251605252609,-62.806547038625695,-63.269954706990006,-70.35241607797168,-64.62569574424363,66.20302967140654</td>\n",
" <td>158.8579996719137,-30.483444726833095,-32.24966634417741,-40.66226199826478,-41.84621438723774,-39.879622281899074,-42.469617160418764,-41.46906769299146,-39.146936718130824,-41.31672044189506,-41.86360955382718,-34.57961066131456,-1.7720340892158377,42.32001699982879,143.9117036570796,-15.216632004172949,5.741726509719791,-39.11750978556931,-33.1278924424146,-39.1048546699204,-39.857079619737355,-45.89146191163548,-39.08065643394893,-37.76813369687862,-36.68836023879931,-38.39662212288831,-37.722542188143855,113.4728854094521,-14.16973576661007,-9.542043474613491,147.16288667981735,114.8157539937289,-34.792142714240384,-40.00108152122428,-40.073499268994205,-43.91745967870654,-43.187365836602496,-44.357076094918824,-39.699446516716655,-37.37637887519146,-37.74235305659722,-40.76796426813538,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032649.pdb</td>\n",
" <td>TPLDEEARRAFQRNSSTAQELLKQLERDSRADPRVIEELRRLK</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>-118.053</td>\n",
" <td>-246.797</td>\n",
" <td>27.615</td>\n",
" <td>201.156</td>\n",
" <td>-16.486</td>\n",
" <td>7.773</td>\n",
" <td>13.151</td>\n",
" <td>99.955</td>\n",
" <td>-105.873</td>\n",
" <td>-0.279</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.186</td>\n",
" <td>0.261</td>\n",
" <td>0.0,-64.14140572246093,-63.00727802265437,-66.34861710895203,-58.86076460132219,-62.32542656366038,-65.59917619717174,-61.577051799155115,-62.86491434010714,-71.14408707352696,-63.27032769683299,-63.983364546726165,-88.98161138277746,-85.30664850078092,-67.0799340141522,-91.62369411037075,45.98458859119583,-66.60056501798285,-65.95521872473674,-63.19634522125229,-70.51178137209546,-67.67434342381853,-62.54734420907427,-65.32080118341315,-58.85400398229917,-66.83881907878119,-65.88550842831933,-72.89619674594299,72.84512983861967,-98.83603473442105,-117.27724688833295,-80.01600306074138,-67.078988418097,-58.355349657405085,-65.23554308562461,-60.641376535734004,-65.317036597681,-61.866853984711135,-58.54084510362138,-60.56779610872141,-69.87167144311813,-79.73645301805705,-49.25889852186145</td>\n",
" <td>25.578814731294123,-38.00816667494092,-38.18603508456187,-44.88949754838419,-47.05544184821509,-47.948703778124596,-45.48749695423693,-42.14243390476543,-37.75151528353585,-38.74388794487499,-36.112909419401255,-18.55808297235601,-1.707423120995015,178.80482024228107,-21.902334647745658,-1.8914604902347074,-123.96138219092286,-24.93882293050007,-29.618265586630912,-35.521979218319345,-40.681965387906416,-43.16171991450866,-44.16894954911073,-49.56610388582879,-39.46124767285913,-48.7936201972212,-32.65535564981697,-11.482352446127866,32.81110840004064,101.3670297959233,16.59891847155383,157.62533469511726,-37.63931354464049,-47.29777990400261,-42.491036399236435,-39.72059060432613,-41.17966549868329,-41.44066064018972,-50.92708679416365,-39.259762522794176,-36.37017595744394,-42.88985425838916,0.0</td>\n",
" <td>LHHHHHHHHHHHHLLLHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032655.pdb</td>\n",
" <td>SEEVKKILKELLKDKDKQEALKKWAKKAGLTDEHVRRLMKKIM</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>-104.212</td>\n",
" <td>-233.769</td>\n",
" <td>22.690</td>\n",
" <td>224.682</td>\n",
" <td>-19.032</td>\n",
" <td>7.830</td>\n",
" <td>17.118</td>\n",
" <td>105.340</td>\n",
" <td>-107.677</td>\n",
" <td>-0.330</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.163</td>\n",
" <td>0.334</td>\n",
" <td>0.0,-54.55716758878108,-60.24671925133987,-60.96339544115801,-60.4675875865348,-65.77193234772929,-63.55634861036867,-65.2463797731284,-62.50391995000622,-63.22152662835138,-64.12082980279126,-60.019510478858145,-83.12438915418637,58.74835726165174,-96.7981056833779,-137.85384467753593,-66.3124475793145,-66.15849001928508,-59.9076502864336,-64.3169028034401,-76.79331549477475,-66.36850353169604,-68.16591033137897,-64.04728039289955,-61.70678618814965,-63.609803242619186,-65.94857491469905,-82.15981537380956,54.80929852805371,63.573395064002774,-73.04058179696266,-100.49654188783236,-59.99847576735693,-64.14260214702321,-64.89686513161355,-68.97927149490033,-58.905041199309586,-63.52492336847542,-60.74298066505938,-71.18874876998304,-63.4746892769842,-59.87672154381264,104.91421937347923</td>\n",
" <td>162.466560504179,-34.371169669132804,-48.198721119432335,-44.746258974755015,-41.58444350400652,-44.175525554528924,-40.431811999497974,-45.50860646436511,-39.02126456509508,-39.202897049339164,-46.86641819406775,-35.31366694139388,1.0583826778749952,42.434925560250385,-9.48288859027419,152.04987206388313,150.80409295854002,-14.525527849873443,-29.266363669273485,-30.398676915398468,-35.677547225261804,-39.83633257978659,-37.358933341260766,-45.122994051902474,-45.49768997278267,-50.004448638381334,-34.320891167795246,-1.2759854872937306,44.098749022055536,19.181033426575183,-38.37219849376893,15.606161452197789,-38.24378966839477,-39.36839166390034,-41.2411702671999,-45.793755546932815,-43.14053151466278,-43.815162619659574,-39.80814871403034,-36.98126239102244,-42.777828401291885,-41.08526266485512,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032822.pdb</td>\n",
" <td>DPKTEELIKQYQRKERSEEMMEELRKKANNRNKEMIKKARKDG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>-111.605</td>\n",
" <td>-241.044</td>\n",
" <td>29.032</td>\n",
" <td>188.744</td>\n",
" <td>-17.360</td>\n",
" <td>7.708</td>\n",
" <td>13.119</td>\n",
" <td>95.556</td>\n",
" <td>-102.038</td>\n",
" <td>-0.335</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.186</td>\n",
" <td>0.335</td>\n",
" <td>0.0,-61.816026473581395,-60.87873427386993,-64.51024770761043,-63.10392233294926,-64.23482012032534,-64.680874248356,-60.66961314351576,-71.64463978334865,-63.24105965575744,-68.51336264921207,-87.40874592621869,52.85547148280792,-66.37135130048894,-159.28162388186527,-72.04898204335726,-91.23362478670171,-59.19866149020611,-70.40617266813769,-69.41468304560698,-64.35874575364411,-63.02918602763617,-61.24466252896299,-60.56573364691166,-66.43755382418904,-72.25860023352529,-66.28395963794418,-87.08050049367311,54.3695702401474,-99.04581680264154,-104.37947103434662,50.59528408561853,-68.21538426658607,-67.12484362281268,-66.47994182018405,-61.428431832870345,-66.59170804313756,-66.229930924608,-62.46970952055127,-62.91998644731243,-66.55357012253441,-64.34196161315106,104.4673399414333</td>\n",
" <td>115.99844970876589,-37.54483533122744,-43.79033726430612,-42.33399027064176,-39.63509633907059,-46.13586564515068,-39.62586069732336,-40.02115810065967,-43.597573295722896,-31.508669700612042,-13.493978955523716,-4.813174407090667,58.97031925478837,-22.27680664176824,177.99664528032784,-10.477330060180872,1.265725177997705,-27.14115361849895,-30.681013517424013,-32.61183114514764,-46.83765846926104,-42.68357484593599,-46.187160289435205,-47.060519436449425,-30.670942054519475,-51.41204082569745,-34.63503503189473,3.9149217565832197,43.50019502443131,-34.696627768614924,-22.945302628210737,-123.52096880255584,-21.947745499194514,-51.95328061082064,-35.67083657211858,-47.92772919130619,-42.27368173394641,-45.14734723283217,-41.7848860485962,-40.029111067566824,-38.54908540192382,-41.05432821808837,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032833.pdb</td>\n",
" <td>TEVEEILKRAAKKPDHKFREIFRELIERNLANELAKQILKELG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>-114.042</td>\n",
" <td>-232.848</td>\n",
" <td>25.142</td>\n",
" <td>220.845</td>\n",
" <td>-15.183</td>\n",
" <td>5.901</td>\n",
" <td>16.186</td>\n",
" <td>108.961</td>\n",
" <td>-109.326</td>\n",
" <td>-0.454</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.209</td>\n",
" <td>0.307</td>\n",
" <td>0.0,-51.48024869435859,-59.30778457208701,-70.60289584858495,-66.93899312498681,-66.40987252599236,-63.39382558395998,-68.04356223920345,-60.652432621310155,-61.89635497385933,-66.37577601401324,-59.33058313849102,-61.15876480231454,-92.94710455669764,-91.84443978530747,55.43377521064221,-93.5287567500433,-61.22058011758979,-62.6599744987428,-67.9175329438902,-60.01443546754284,-68.75214466312453,-65.62739940328859,-64.87353840147269,-66.29795444331049,-76.10226119083158,-64.29362577571187,-69.72607493706828,-83.862996791081,52.1357800088046,-77.40988220337988,-60.408693077595245,-61.86958068055051,-62.64951573690476,-69.13596403458016,-68.27742022206758,-61.49792138406971,-63.987110515267474,-61.724628545273895,-60.13465608934933,-68.32074089335299,-70.37578445473903,-77.69343976874832</td>\n",
" <td>104.35277004349973,-33.65241222333037,-38.1849871291387,-37.941728883025604,-42.30006626124337,-37.574514526073806,-39.9311708273235,-34.412428732484315,-41.697672561826515,-36.432959821076594,-47.81068520869051,-33.899854395478414,-30.250117653227385,-26.322558143473863,2.5274835592379366,41.845325944061216,84.410194385844,-40.774269149420036,-36.95627350673593,-43.41264520614228,-40.41748703627092,-42.770426428818716,-39.39398806304044,-39.46164868323077,-41.46422271617256,-36.54568408518662,-30.80083988264804,-19.210582850185627,64.44608830757603,43.668058673575395,161.29180496716185,146.2035885699289,-37.855518496395646,-39.54432856162265,-39.83097584997943,-45.23404029279285,-41.49031865761338,-43.20410430845697,-43.061475307962596,-39.412520277521644,-36.44286754001981,-36.33698118177661,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032943.pdb</td>\n",
" <td>SPEEFEKLKEKAKRENNEEVLRKLEEAAKNASEEEIKELKRQI</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>-99.049</td>\n",
" <td>-240.205</td>\n",
" <td>23.017</td>\n",
" <td>218.837</td>\n",
" <td>-17.455</td>\n",
" <td>6.648</td>\n",
" <td>16.604</td>\n",
" <td>109.615</td>\n",
" <td>-109.807</td>\n",
" <td>-0.414</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.279</td>\n",
" <td>0.275</td>\n",
" <td>0.0,-64.0487359118943,-69.69104607827998,-61.32384411097726,-62.316170158356016,-60.94259923238814,-63.14942364428239,-62.10751237754549,-62.23635579091567,-67.79393522723588,-67.30264243643552,-75.58324111263224,-70.17633470937064,-72.37674482389288,-96.35816108479204,-88.32445184168974,-128.1497200942804,-64.11788841385271,-58.5515355621417,-64.59986106202211,-62.604239688873925,-62.35188106160262,-61.03252802587855,-66.81474002031639,-65.98858419729268,-79.24528850470969,-67.7229091745369,-101.72399468575834,-77.61431535481827,-64.53081199307239,-57.304811091192086,-54.71748629994325,-67.85111585098318,-83.14762414240734,-66.18775915739461,-63.62534372613044,-60.39420097192371,-56.75266710610848,-65.19042031492202,-59.02636279350242,-64.9602074846891,-67.76554881186445,-53.10341749547002</td>\n",
" <td>179.99932169695205,-37.016486662352094,-41.47630395662156,-40.03030656890961,-39.56292271313878,-43.38610646529196,-40.96371913397039,-44.21868303816494,-40.58901651385193,-40.99133170661388,-37.51278143834419,-43.982415527758825,139.10487165398837,-10.323620520779322,-4.799437836543055,156.37941986362603,159.37891113067573,-31.029282653163424,-43.24960993315491,-40.19749163258058,-45.053573671948094,-40.1418523683894,-40.0845007678448,-39.738177637595804,-35.183828082290965,-37.66835459458902,-44.69273313376687,144.888762214947,-12.15119120213544,113.68605589268499,-23.632059907604464,-33.84497063726042,-34.23792356033179,-32.29024893858771,-37.36357065360846,-45.28548026384168,-40.55544530300989,-51.823455234278185,-37.526876634262045,-48.16444199700557,-38.89715626752906,-37.274510720964294,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLHHHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032955.pdb</td>\n",
" <td>SEIEERLEKLARSETGTEEQMRQLAKKYEDPSAREFLKRYREK</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>10 rows × 61 columns</p>\n",
"</div>"
],
"text/plain": [
" score fa_atr fa_rep fa_sol fa_intra_atr_xover4 \\\n",
"0 -115.348 -248.220 23.856 204.601 -19.273 \n",
"1 -111.579 -239.381 25.203 188.087 -15.924 \n",
"2 -107.145 -245.738 23.800 223.426 -17.090 \n",
"3 -116.810 -243.867 21.962 204.181 -19.960 \n",
"4 -121.064 -244.426 29.031 221.440 -17.579 \n",
"5 -118.053 -246.797 27.615 201.156 -16.486 \n",
"6 -104.212 -233.769 22.690 224.682 -19.032 \n",
"7 -111.605 -241.044 29.032 188.744 -17.360 \n",
"8 -114.042 -232.848 25.142 220.845 -15.183 \n",
"9 -99.049 -240.205 23.017 218.837 -17.455 \n",
"\n",
" fa_intra_rep_xover4 fa_intra_sol_xover4 lk_ball lk_ball_iso \\\n",
"0 8.070 17.321 99.223 -105.788 \n",
"1 10.248 12.333 102.075 -103.115 \n",
"2 6.658 15.022 112.316 -111.729 \n",
"3 7.784 15.809 99.764 -105.959 \n",
"4 6.851 14.169 107.873 -114.030 \n",
"5 7.773 13.151 99.955 -105.873 \n",
"6 7.830 17.118 105.340 -107.677 \n",
"7 7.708 13.119 95.556 -102.038 \n",
"8 5.901 16.186 108.961 -109.326 \n",
"9 6.648 16.604 109.615 -109.807 \n",
"\n",
" lk_ball_bridge ... nres_loop nres_sheet nres_total percent_core \\\n",
"0 -0.548 ... 11.0 0.0 43.0 0.256 \n",
"1 -0.478 ... 12.0 0.0 43.0 0.349 \n",
"2 -0.325 ... 10.0 0.0 43.0 0.163 \n",
"3 -0.406 ... 12.0 0.0 43.0 0.256 \n",
"4 -0.525 ... 12.0 0.0 43.0 0.256 \n",
"5 -0.279 ... 10.0 0.0 43.0 0.186 \n",
"6 -0.330 ... 12.0 0.0 43.0 0.163 \n",
"7 -0.335 ... 10.0 0.0 43.0 0.186 \n",
"8 -0.454 ... 12.0 0.0 43.0 0.209 \n",
"9 -0.414 ... 10.0 0.0 43.0 0.279 \n",
"\n",
" ss_mismatch_probability \\\n",
"0 0.302 \n",
"1 0.267 \n",
"2 0.281 \n",
"3 0.263 \n",
"4 0.287 \n",
"5 0.261 \n",
"6 0.334 \n",
"7 0.335 \n",
"8 0.307 \n",
"9 0.275 \n",
"\n",
" PHI \\\n",
"0 0.0,-66.61703742125313,-66.66204304586961,-64.2627475879439,-66.44318693590479,-65.27866717342658,-55.47564223945256,-60.55650264141377,-64.22576792577901,-64.02494083109615,-66.58947909877377,-63.445941933853376,-82.68156985834482,57.87345390963645,-67.16285450680006,-89.02662257634594,-89.709039177475,-77.08106174109108,-69.61483090932575,-65.15474559676444,-57.74476095018723,-63.16713300307241,-70.47268396961864,-68.51553046099137,-64.51032489503767,-63.496345967103316,-64.2865806993615,-68.00154858290396,101.8111743976923,-94.05687803119253,-83.05266794048505,-79.29649799606862,-63.645260272174184,-68.98036302624823,-70.56949099309887,-60.852820372348376,-65.40300963386642,-60.40027121280268,-69.43870153142986,-60.722972493878466,-72.37369148915171,-66.88119749195621,-158.01695932191876 \n",
"1 0.0,-64.3519467853161,-63.418086930463815,-65.56673176992616,-62.937028353387916,-64.84600479810152,-60.46768276861964,-64.99142204050862,-59.049636840404,-63.18631177283314,-58.85645964636771,-64.35015465192834,-97.54005666361657,-52.86373021885636,100.75694461007625,-71.36374889851632,-72.82703291356235,-61.32485242033397,-64.54206754213402,-64.50010229369639,-64.6732629210743,-57.12234914566474,-61.09981426241765,-64.47279134871839,-62.10672300145529,-66.14427121037937,-66.00261452846901,-68.06192326827916,-69.68543652922278,91.85104777792408,-81.18992895090004,-109.41994732519733,-61.87846575537298,-61.974640237969076,-65.06401434230709,-62.69618238650833,-58.63360441093861,-57.32725924615807,-58.089019700406446,-63.92901632178451,-78.36838629831337,-67.86420289769583,-89.24805136111644 \n",
"2 0.0,-65.67988795578451,-63.810354341309825,-66.02631367384691,-62.52707616603043,-63.14156238435789,-57.622158107998445,-67.00528688950165,-62.262488202654865,-56.67415089889363,-75.70994045838138,-57.82533593806999,-59.59509360861571,-107.55320642586815,-158.6619894605935,-60.21877818562311,-77.72389500225836,-66.73588150093684,-58.28927125331593,-63.51405894541939,-64.2112927310839,-69.99061840234413,-63.167751675530006,-61.341939555083336,-62.479825943586405,-64.86060162547874,-66.09188262454094,-74.38667346389701,76.63920879829728,-63.18352223795158,-159.69209623128305,-71.53124764266492,-68.15041659663433,-67.36767207528698,-69.8458102064516,-66.3839607671189,-61.57783095416169,-62.74107723116324,-63.47241380519334,-64.46457303636892,-76.13233073851131,-73.17889096830872,-78.7192332015827 \n",
"3 0.0,-60.41701762419428,-62.675160123107226,-70.10098078315754,-64.88399338823248,-69.65684202319159,-59.603332249509705,-64.4636382929172,-66.62407160551683,-68.01143557705103,-67.5380429291549,-73.80987013133573,-90.85796234297753,-69.94094913557602,-79.81313507238924,-94.81372016085895,-151.03575484796272,-65.63837798853463,-61.132050356335164,-63.47669383079445,-64.8374521706156,-58.34859948618523,-62.7030418816911,-66.88012705092636,-63.3090138766452,-66.67452906083983,-63.007572751935776,-90.96756434017595,51.691141337611676,-85.84308565212628,-74.69164821856461,65.50240324414355,-66.40320359459368,-65.30457235609691,-61.29426610974433,-65.92025799759239,-61.072022534417314,-59.010936427298354,-65.33854952588165,-62.64194002032411,-79.04483017805029,-70.18726567742983,-100.86203701342042 \n",
"4 0.0,-51.87091799368676,-64.6619591856215,-67.61696240054658,-68.15975572226549,-71.10474117445663,-62.46121453509447,-62.61452674806745,-67.89731257742798,-62.55881781233866,-68.5433416761228,-63.82896994855344,-85.80341139138933,56.238664341087066,-69.16292169749866,-69.21465142956552,-101.90658947165075,-60.46202918505737,-69.99063157805487,-65.54272678848187,-66.10689404058697,-60.979556832525034,-59.496566229136114,-66.39828838949327,-66.26009193783216,-65.49731637112234,-73.73102319912029,-73.8132209120679,-69.16042616655248,-86.52764131526719,-68.9760938350884,-77.84712300540829,-52.324042504390604,-60.13170929156555,-75.09475589765687,-57.594179672415535,-62.4475439910981,-61.26251605252609,-62.806547038625695,-63.269954706990006,-70.35241607797168,-64.62569574424363,66.20302967140654 \n",
"5 0.0,-64.14140572246093,-63.00727802265437,-66.34861710895203,-58.86076460132219,-62.32542656366038,-65.59917619717174,-61.577051799155115,-62.86491434010714,-71.14408707352696,-63.27032769683299,-63.983364546726165,-88.98161138277746,-85.30664850078092,-67.0799340141522,-91.62369411037075,45.98458859119583,-66.60056501798285,-65.95521872473674,-63.19634522125229,-70.51178137209546,-67.67434342381853,-62.54734420907427,-65.32080118341315,-58.85400398229917,-66.83881907878119,-65.88550842831933,-72.89619674594299,72.84512983861967,-98.83603473442105,-117.27724688833295,-80.01600306074138,-67.078988418097,-58.355349657405085,-65.23554308562461,-60.641376535734004,-65.317036597681,-61.866853984711135,-58.54084510362138,-60.56779610872141,-69.87167144311813,-79.73645301805705,-49.25889852186145 \n",
"6 0.0,-54.55716758878108,-60.24671925133987,-60.96339544115801,-60.4675875865348,-65.77193234772929,-63.55634861036867,-65.2463797731284,-62.50391995000622,-63.22152662835138,-64.12082980279126,-60.019510478858145,-83.12438915418637,58.74835726165174,-96.7981056833779,-137.85384467753593,-66.3124475793145,-66.15849001928508,-59.9076502864336,-64.3169028034401,-76.79331549477475,-66.36850353169604,-68.16591033137897,-64.04728039289955,-61.70678618814965,-63.609803242619186,-65.94857491469905,-82.15981537380956,54.80929852805371,63.573395064002774,-73.04058179696266,-100.49654188783236,-59.99847576735693,-64.14260214702321,-64.89686513161355,-68.97927149490033,-58.905041199309586,-63.52492336847542,-60.74298066505938,-71.18874876998304,-63.4746892769842,-59.87672154381264,104.91421937347923 \n",
"7 0.0,-61.816026473581395,-60.87873427386993,-64.51024770761043,-63.10392233294926,-64.23482012032534,-64.680874248356,-60.66961314351576,-71.64463978334865,-63.24105965575744,-68.51336264921207,-87.40874592621869,52.85547148280792,-66.37135130048894,-159.28162388186527,-72.04898204335726,-91.23362478670171,-59.19866149020611,-70.40617266813769,-69.41468304560698,-64.35874575364411,-63.02918602763617,-61.24466252896299,-60.56573364691166,-66.43755382418904,-72.25860023352529,-66.28395963794418,-87.08050049367311,54.3695702401474,-99.04581680264154,-104.37947103434662,50.59528408561853,-68.21538426658607,-67.12484362281268,-66.47994182018405,-61.428431832870345,-66.59170804313756,-66.229930924608,-62.46970952055127,-62.91998644731243,-66.55357012253441,-64.34196161315106,104.4673399414333 \n",
"8 0.0,-51.48024869435859,-59.30778457208701,-70.60289584858495,-66.93899312498681,-66.40987252599236,-63.39382558395998,-68.04356223920345,-60.652432621310155,-61.89635497385933,-66.37577601401324,-59.33058313849102,-61.15876480231454,-92.94710455669764,-91.84443978530747,55.43377521064221,-93.5287567500433,-61.22058011758979,-62.6599744987428,-67.9175329438902,-60.01443546754284,-68.75214466312453,-65.62739940328859,-64.87353840147269,-66.29795444331049,-76.10226119083158,-64.29362577571187,-69.72607493706828,-83.862996791081,52.1357800088046,-77.40988220337988,-60.408693077595245,-61.86958068055051,-62.64951573690476,-69.13596403458016,-68.27742022206758,-61.49792138406971,-63.987110515267474,-61.724628545273895,-60.13465608934933,-68.32074089335299,-70.37578445473903,-77.69343976874832 \n",
"9 0.0,-64.0487359118943,-69.69104607827998,-61.32384411097726,-62.316170158356016,-60.94259923238814,-63.14942364428239,-62.10751237754549,-62.23635579091567,-67.79393522723588,-67.30264243643552,-75.58324111263224,-70.17633470937064,-72.37674482389288,-96.35816108479204,-88.32445184168974,-128.1497200942804,-64.11788841385271,-58.5515355621417,-64.59986106202211,-62.604239688873925,-62.35188106160262,-61.03252802587855,-66.81474002031639,-65.98858419729268,-79.24528850470969,-67.7229091745369,-101.72399468575834,-77.61431535481827,-64.53081199307239,-57.304811091192086,-54.71748629994325,-67.85111585098318,-83.14762414240734,-66.18775915739461,-63.62534372613044,-60.39420097192371,-56.75266710610848,-65.19042031492202,-59.02636279350242,-64.9602074846891,-67.76554881186445,-53.10341749547002 \n",
"\n",
" PSI \\\n",
"0 -15.270410929420306,-27.453350620107514,-43.343499065683496,-41.50737623458657,-38.729269075765906,-43.740823999394834,-47.811348775724895,-39.95352552646714,-40.32243118212867,-35.90586187723031,-43.04035388824186,-33.76244729550682,1.3499443829536215,43.743951291249864,141.23579948572367,-28.018696371231332,49.3329196277017,-32.92968480556337,-37.82091957363441,-39.94325194788841,-49.386346222146415,-45.9522658156121,-37.233887342561125,-44.33228429648577,-33.859499865924036,-48.468920043307065,-39.5520664499651,-34.27235262288263,19.10615110194125,-26.542008131567737,130.03494579330095,166.1985356807009,-40.07836591289924,-44.039394152274824,-36.271535277646635,-51.21028563456098,-41.640579618357776,-51.18460949128726,-33.73971300615915,-36.61614548071734,-36.54068430712844,-45.00943197786171,0.0 \n",
"1 135.29049056466624,-44.3565372650317,-39.44213431209112,-39.813270032614355,-44.34201877339164,-43.534511504796356,-41.92051977907319,-40.62558720133791,-44.1940958663573,-43.6038936284092,-48.88955537867602,-34.80524214505524,18.73689667446474,134.23485792624905,-14.193883138670655,156.87051590470855,163.20839740726998,-37.125238128619756,-41.06313289927764,-43.28759722099899,-41.801725412414605,-48.76218444761745,-43.068821843732735,-40.55155304541878,-38.54489931440367,-36.85904541676932,-35.12446892323645,125.3914543230007,145.65503193618588,-8.208151559667714,126.69306929503253,-174.3708053732862,-38.44431561898169,-46.07858141526455,-37.39032838784732,-45.66377989383726,-40.39137357798858,-48.76846703504008,-38.57259568994066,-33.276471026442586,-34.93916532435953,-38.69601513404585,0.0 \n",
"2 169.09647837628498,-38.48610986516323,-37.445295306603136,-40.034129454495364,-41.834791793462465,-41.06188007692538,-51.58163334308966,-34.94163317775788,-44.66379813137101,-38.533143540345364,-45.42500838170542,-36.897986758152186,-23.396858595182916,-35.92803772141464,95.48536968252863,-25.673874565266583,-37.54831860695169,-38.97888818191979,-41.1154614010036,-41.7877290810818,-41.08227751004935,-32.58560008045613,-40.321241605636544,-43.801834336452735,-41.654211107244144,-48.31989573685587,-34.35399011170958,-7.225226659148367,25.0225457801468,-48.73117370127896,160.46243708095133,162.4646737504978,-26.420342328218975,-42.254404777018586,-41.76209955541568,-38.34376695162168,-43.453214025532574,-41.121342661767876,-38.10191093818169,-37.77791301457546,-35.21126264156708,-38.34464722698572,0.0 \n",
"3 86.74988983051828,-35.43574203071179,-44.264025830871745,-40.264730299547274,-42.00316272215953,-43.08710072713454,-39.0367254939542,-41.58783205986145,-38.48062529563729,-34.43132537612126,-44.539483318275025,-40.968118195248366,105.54981797603179,-8.611823088569498,-12.731158985482608,188.41102386615586,117.68107209112323,-31.37530121369642,-41.74732274223366,-41.378424084585916,-45.07194621269743,-48.39564053902063,-39.383863140665454,-43.82211734772339,-38.140323684482496,-43.66674349744812,-36.128816745921185,8.596738620396577,44.30053003129075,149.508606440333,157.78686210264664,18.797113052684725,-21.577057865304276,-23.03697033590036,-45.3551632047944,-42.054520962554825,-39.58632838781002,-49.411982585802136,-38.503412389800715,-43.68088267743077,-35.701322994965885,-45.27853349148709,0.0 \n",
"4 158.8579996719137,-30.483444726833095,-32.24966634417741,-40.66226199826478,-41.84621438723774,-39.879622281899074,-42.469617160418764,-41.46906769299146,-39.146936718130824,-41.31672044189506,-41.86360955382718,-34.57961066131456,-1.7720340892158377,42.32001699982879,143.9117036570796,-15.216632004172949,5.741726509719791,-39.11750978556931,-33.1278924424146,-39.1048546699204,-39.857079619737355,-45.89146191163548,-39.08065643394893,-37.76813369687862,-36.68836023879931,-38.39662212288831,-37.722542188143855,113.4728854094521,-14.16973576661007,-9.542043474613491,147.16288667981735,114.8157539937289,-34.792142714240384,-40.00108152122428,-40.073499268994205,-43.91745967870654,-43.187365836602496,-44.357076094918824,-39.699446516716655,-37.37637887519146,-37.74235305659722,-40.76796426813538,0.0 \n",
"5 25.578814731294123,-38.00816667494092,-38.18603508456187,-44.88949754838419,-47.05544184821509,-47.948703778124596,-45.48749695423693,-42.14243390476543,-37.75151528353585,-38.74388794487499,-36.112909419401255,-18.55808297235601,-1.707423120995015,178.80482024228107,-21.902334647745658,-1.8914604902347074,-123.96138219092286,-24.93882293050007,-29.618265586630912,-35.521979218319345,-40.681965387906416,-43.16171991450866,-44.16894954911073,-49.56610388582879,-39.46124767285913,-48.7936201972212,-32.65535564981697,-11.482352446127866,32.81110840004064,101.3670297959233,16.59891847155383,157.62533469511726,-37.63931354464049,-47.29777990400261,-42.491036399236435,-39.72059060432613,-41.17966549868329,-41.44066064018972,-50.92708679416365,-39.259762522794176,-36.37017595744394,-42.88985425838916,0.0 \n",
"6 162.466560504179,-34.371169669132804,-48.198721119432335,-44.746258974755015,-41.58444350400652,-44.175525554528924,-40.431811999497974,-45.50860646436511,-39.02126456509508,-39.202897049339164,-46.86641819406775,-35.31366694139388,1.0583826778749952,42.434925560250385,-9.48288859027419,152.04987206388313,150.80409295854002,-14.525527849873443,-29.266363669273485,-30.398676915398468,-35.677547225261804,-39.83633257978659,-37.358933341260766,-45.122994051902474,-45.49768997278267,-50.004448638381334,-34.320891167795246,-1.2759854872937306,44.098749022055536,19.181033426575183,-38.37219849376893,15.606161452197789,-38.24378966839477,-39.36839166390034,-41.2411702671999,-45.793755546932815,-43.14053151466278,-43.815162619659574,-39.80814871403034,-36.98126239102244,-42.777828401291885,-41.08526266485512,0.0 \n",
"7 115.99844970876589,-37.54483533122744,-43.79033726430612,-42.33399027064176,-39.63509633907059,-46.13586564515068,-39.62586069732336,-40.02115810065967,-43.597573295722896,-31.508669700612042,-13.493978955523716,-4.813174407090667,58.97031925478837,-22.27680664176824,177.99664528032784,-10.477330060180872,1.265725177997705,-27.14115361849895,-30.681013517424013,-32.61183114514764,-46.83765846926104,-42.68357484593599,-46.187160289435205,-47.060519436449425,-30.670942054519475,-51.41204082569745,-34.63503503189473,3.9149217565832197,43.50019502443131,-34.696627768614924,-22.945302628210737,-123.52096880255584,-21.947745499194514,-51.95328061082064,-35.67083657211858,-47.92772919130619,-42.27368173394641,-45.14734723283217,-41.7848860485962,-40.029111067566824,-38.54908540192382,-41.05432821808837,0.0 \n",
"8 104.35277004349973,-33.65241222333037,-38.1849871291387,-37.941728883025604,-42.30006626124337,-37.574514526073806,-39.9311708273235,-34.412428732484315,-41.697672561826515,-36.432959821076594,-47.81068520869051,-33.899854395478414,-30.250117653227385,-26.322558143473863,2.5274835592379366,41.845325944061216,84.410194385844,-40.774269149420036,-36.95627350673593,-43.41264520614228,-40.41748703627092,-42.770426428818716,-39.39398806304044,-39.46164868323077,-41.46422271617256,-36.54568408518662,-30.80083988264804,-19.210582850185627,64.44608830757603,43.668058673575395,161.29180496716185,146.2035885699289,-37.855518496395646,-39.54432856162265,-39.83097584997943,-45.23404029279285,-41.49031865761338,-43.20410430845697,-43.061475307962596,-39.412520277521644,-36.44286754001981,-36.33698118177661,0.0 \n",
"9 179.99932169695205,-37.016486662352094,-41.47630395662156,-40.03030656890961,-39.56292271313878,-43.38610646529196,-40.96371913397039,-44.21868303816494,-40.58901651385193,-40.99133170661388,-37.51278143834419,-43.982415527758825,139.10487165398837,-10.323620520779322,-4.799437836543055,156.37941986362603,159.37891113067573,-31.029282653163424,-43.24960993315491,-40.19749163258058,-45.053573671948094,-40.1418523683894,-40.0845007678448,-39.738177637595804,-35.183828082290965,-37.66835459458902,-44.69273313376687,144.888762214947,-12.15119120213544,113.68605589268499,-23.632059907604464,-33.84497063726042,-34.23792356033179,-32.29024893858771,-37.36357065360846,-45.28548026384168,-40.55544530300989,-51.823455234278185,-37.526876634262045,-48.16444199700557,-38.89715626752906,-37.274510720964294,0.0 \n",
"\n",
" SSE \\\n",
"0 LHHHHHHHHHHHLLLLLHHHHHHHHHHHLLLLHHHHHHHHHHL \n",
"1 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"2 LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"3 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"4 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"5 LHHHHHHHHHHHHLLLHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"6 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"7 LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"8 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"9 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLHHHHHHHHHHHHL \n",
"\n",
" description \\\n",
"0 EHPC100_job_77_hhh_11.5.10.5.10_20201122032157.pdb \n",
"1 EHPC100_job_77_hhh_11.5.10.5.10_20201122032313.pdb \n",
"2 EHPC100_job_77_hhh_11.5.10.5.10_20201122032428.pdb \n",
"3 EHPC100_job_77_hhh_11.5.10.5.10_20201122032600.pdb \n",
"4 EHPC100_job_77_hhh_11.5.10.5.10_20201122032649.pdb \n",
"5 EHPC100_job_77_hhh_11.5.10.5.10_20201122032655.pdb \n",
"6 EHPC100_job_77_hhh_11.5.10.5.10_20201122032822.pdb \n",
"7 EHPC100_job_77_hhh_11.5.10.5.10_20201122032833.pdb \n",
"8 EHPC100_job_77_hhh_11.5.10.5.10_20201122032943.pdb \n",
"9 EHPC100_job_77_hhh_11.5.10.5.10_20201122032955.pdb \n",
"\n",
" sequence_A \n",
"0 SHIEEIFKELQRQNASNLREFVEEAWRRGEMSEELYKKMKKIV \n",
"1 SVEEIVKKMIKKASGASREQIKKLAEKIPGVDERVIKMAERLI \n",
"2 SEEEKEFLKRVKDKDPELAKKMQKLLENGYASIEQLQKQLEKR \n",
"3 SEIEELAKRLLKDSRGDLRKLLEELQRNNQPNYQYVEHLLRKY \n",
"4 TPLDEEARRAFQRNSSTAQELLKQLERDSRADPRVIEELRRLK \n",
"5 SEEVKKILKELLKDKDKQEALKKWAKKAGLTDEHVRRLMKKIM \n",
"6 DPKTEELIKQYQRKERSEEMMEELRKKANNRNKEMIKKARKDG \n",
"7 TEVEEILKRAAKKPDHKFREIFRELIERNLANELAKQILKELG \n",
"8 SPEEFEKLKEKAKRENNEEVLRKLEEAAKNASEEEIKELKRQI \n",
"9 SEIEERLEKLARSETGTEEQMRQLAKKYEDPSAREFLKRYREK \n",
"\n",
"[10 rows x 61 columns]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 最简单的读取方式(全读取式):\n",
"rules = {'sequence': 'A'}\n",
"silent_file = './data/design_result.silent'\n",
"raw_df = parse_rosetta_file(silent_file, rules)\n",
"\n",
"# 打印读取数据:\n",
"raw_df"
]
},
{
"cell_type": "markdown",
"id": "ba497e91",
"metadata": {},
"source": [
"所有记录在silent_file中的数据都会被读取，并储存在pandas的DataFrame对象中。"
]
},
{
"cell_type": "markdown",
"id": "b4e7c2ef",
"metadata": {},
"source": [
"除此以外，parse_rosetta_file支持定义description，通过设定description一些过滤条件，可以预先筛选掉一部分的数据，或保留与分析过程最关心的数据。目前description支持10种语法:\n",
"\n",
"|definition term |description |\n",
"|-----------------|-----------------------------------------------------------------------------------------------------------------------------------------|\n",
"|scores |Basic selection of the scores to store. Default is all scores. |\n",
"|scores_ignore |Selection of specific scores to ignore. |\n",
"|scores_rename |Rename some score names to others. |\n",
"|scores_by_residue|Pick score by residue types into a single array value. |\n",
"|scores_missing |Names of scores that might be missing in some decoys. |\n",
"|naming |Use the decoy identifier’s name to create extra score terms. |\n",
"|sequence |Pick sequence data from the silent file. |\n",
"|structure |Pick structural data from the silent file. |\n",
"|psipred |Pick PSIPRED data from the silent file. |\n",
"|dihedrals |Retrieve dihedral data from the silent file. |\n",
"|labels |Retrieve residue labels from the silent file. |\n",
"|graft_ranges |When using the MotifGraftMover, multi-columns will be created when more than one segment is grafted. Provide here the number of segments.|\n"
]
},
{
"cell_type": "markdown",
"id": "afbf4271",
"metadata": {},
"source": [
"此处以保留某些score项作为description的条件作为使用案例:（非必要，全部读进来也不会产生负面影响）"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "766779e7",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>score</th>\n",
" <th>fa_atr</th>\n",
" <th>fa_rep</th>\n",
" <th>fa_sol</th>\n",
" <th>fa_intra_atr_xover4</th>\n",
" <th>fa_intra_rep_xover4</th>\n",
" <th>fa_intra_sol_xover4</th>\n",
" <th>lk_ball</th>\n",
" <th>lk_ball_iso</th>\n",
" <th>lk_ball_bridge</th>\n",
" <th>...</th>\n",
" <th>nres_loop</th>\n",
" <th>nres_sheet</th>\n",
" <th>nres_total</th>\n",
" <th>percent_core</th>\n",
" <th>ss_mismatch_probability</th>\n",
" <th>PHI</th>\n",
" <th>PSI</th>\n",
" <th>SSE</th>\n",
" <th>description</th>\n",
" <th>sequence_A</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>-115.348</td>\n",
" <td>-248.220</td>\n",
" <td>23.856</td>\n",
" <td>204.601</td>\n",
" <td>-19.273</td>\n",
" <td>8.070</td>\n",
" <td>17.321</td>\n",
" <td>99.223</td>\n",
" <td>-105.788</td>\n",
" <td>-0.548</td>\n",
" <td>...</td>\n",
" <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.256</td>\n",
" <td>0.302</td>\n",
" <td>0.0,-66.61703742125313,-66.66204304586961,-64.2627475879439,-66.44318693590479,-65.27866717342658,-55.47564223945256,-60.55650264141377,-64.22576792577901,-64.02494083109615,-66.58947909877377,-63.445941933853376,-82.68156985834482,57.87345390963645,-67.16285450680006,-89.02662257634594,-89.709039177475,-77.08106174109108,-69.61483090932575,-65.15474559676444,-57.74476095018723,-63.16713300307241,-70.47268396961864,-68.51553046099137,-64.51032489503767,-63.496345967103316,-64.2865806993615,-68.00154858290396,101.8111743976923,-94.05687803119253,-83.05266794048505,-79.29649799606862,-63.645260272174184,-68.98036302624823,-70.56949099309887,-60.852820372348376,-65.40300963386642,-60.40027121280268,-69.43870153142986,-60.722972493878466,-72.37369148915171,-66.88119749195621,-158.01695932191876</td>\n",
" <td>-15.270410929420306,-27.453350620107514,-43.343499065683496,-41.50737623458657,-38.729269075765906,-43.740823999394834,-47.811348775724895,-39.95352552646714,-40.32243118212867,-35.90586187723031,-43.04035388824186,-33.76244729550682,1.3499443829536215,43.743951291249864,141.23579948572367,-28.018696371231332,49.3329196277017,-32.92968480556337,-37.82091957363441,-39.94325194788841,-49.386346222146415,-45.9522658156121,-37.233887342561125,-44.33228429648577,-33.859499865924036,-48.468920043307065,-39.5520664499651,-34.27235262288263,19.10615110194125,-26.542008131567737,130.03494579330095,166.1985356807009,-40.07836591289924,-44.039394152274824,-36.271535277646635,-51.21028563456098,-41.640579618357776,-51.18460949128726,-33.73971300615915,-36.61614548071734,-36.54068430712844,-45.00943197786171,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHHLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032157.pdb</td>\n",
" <td>SHIEEIFKELQRQNASNLREFVEEAWRRGEMSEELYKKMKKIV</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>-111.579</td>\n",
" <td>-239.381</td>\n",
" <td>25.203</td>\n",
" <td>188.087</td>\n",
" <td>-15.924</td>\n",
" <td>10.248</td>\n",
" <td>12.333</td>\n",
" <td>102.075</td>\n",
" <td>-103.115</td>\n",
" <td>-0.478</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.349</td>\n",
" <td>0.267</td>\n",
" <td>0.0,-64.3519467853161,-63.418086930463815,-65.56673176992616,-62.937028353387916,-64.84600479810152,-60.46768276861964,-64.99142204050862,-59.049636840404,-63.18631177283314,-58.85645964636771,-64.35015465192834,-97.54005666361657,-52.86373021885636,100.75694461007625,-71.36374889851632,-72.82703291356235,-61.32485242033397,-64.54206754213402,-64.50010229369639,-64.6732629210743,-57.12234914566474,-61.09981426241765,-64.47279134871839,-62.10672300145529,-66.14427121037937,-66.00261452846901,-68.06192326827916,-69.68543652922278,91.85104777792408,-81.18992895090004,-109.41994732519733,-61.87846575537298,-61.974640237969076,-65.06401434230709,-62.69618238650833,-58.63360441093861,-57.32725924615807,-58.089019700406446,-63.92901632178451,-78.36838629831337,-67.86420289769583,-89.24805136111644</td>\n",
" <td>135.29049056466624,-44.3565372650317,-39.44213431209112,-39.813270032614355,-44.34201877339164,-43.534511504796356,-41.92051977907319,-40.62558720133791,-44.1940958663573,-43.6038936284092,-48.88955537867602,-34.80524214505524,18.73689667446474,134.23485792624905,-14.193883138670655,156.87051590470855,163.20839740726998,-37.125238128619756,-41.06313289927764,-43.28759722099899,-41.801725412414605,-48.76218444761745,-43.068821843732735,-40.55155304541878,-38.54489931440367,-36.85904541676932,-35.12446892323645,125.3914543230007,145.65503193618588,-8.208151559667714,126.69306929503253,-174.3708053732862,-38.44431561898169,-46.07858141526455,-37.39032838784732,-45.66377989383726,-40.39137357798858,-48.76846703504008,-38.57259568994066,-33.276471026442586,-34.93916532435953,-38.69601513404585,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032313.pdb</td>\n",
" <td>SVEEIVKKMIKKASGASREQIKKLAEKIPGVDERVIKMAERLI</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>-107.145</td>\n",
" <td>-245.738</td>\n",
" <td>23.800</td>\n",
" <td>223.426</td>\n",
" <td>-17.090</td>\n",
" <td>6.658</td>\n",
" <td>15.022</td>\n",
" <td>112.316</td>\n",
" <td>-111.729</td>\n",
" <td>-0.325</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.163</td>\n",
" <td>0.281</td>\n",
" <td>0.0,-65.67988795578451,-63.810354341309825,-66.02631367384691,-62.52707616603043,-63.14156238435789,-57.622158107998445,-67.00528688950165,-62.262488202654865,-56.67415089889363,-75.70994045838138,-57.82533593806999,-59.59509360861571,-107.55320642586815,-158.6619894605935,-60.21877818562311,-77.72389500225836,-66.73588150093684,-58.28927125331593,-63.51405894541939,-64.2112927310839,-69.99061840234413,-63.167751675530006,-61.341939555083336,-62.479825943586405,-64.86060162547874,-66.09188262454094,-74.38667346389701,76.63920879829728,-63.18352223795158,-159.69209623128305,-71.53124764266492,-68.15041659663433,-67.36767207528698,-69.8458102064516,-66.3839607671189,-61.57783095416169,-62.74107723116324,-63.47241380519334,-64.46457303636892,-76.13233073851131,-73.17889096830872,-78.7192332015827</td>\n",
" <td>169.09647837628498,-38.48610986516323,-37.445295306603136,-40.034129454495364,-41.834791793462465,-41.06188007692538,-51.58163334308966,-34.94163317775788,-44.66379813137101,-38.533143540345364,-45.42500838170542,-36.897986758152186,-23.396858595182916,-35.92803772141464,95.48536968252863,-25.673874565266583,-37.54831860695169,-38.97888818191979,-41.1154614010036,-41.7877290810818,-41.08227751004935,-32.58560008045613,-40.321241605636544,-43.801834336452735,-41.654211107244144,-48.31989573685587,-34.35399011170958,-7.225226659148367,25.0225457801468,-48.73117370127896,160.46243708095133,162.4646737504978,-26.420342328218975,-42.254404777018586,-41.76209955541568,-38.34376695162168,-43.453214025532574,-41.121342661767876,-38.10191093818169,-37.77791301457546,-35.21126264156708,-38.34464722698572,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032428.pdb</td>\n",
" <td>SEEEKEFLKRVKDKDPELAKKMQKLLENGYASIEQLQKQLEKR</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>-116.810</td>\n",
" <td>-243.867</td>\n",
" <td>21.962</td>\n",
" <td>204.181</td>\n",
" <td>-19.960</td>\n",
" <td>7.784</td>\n",
" <td>15.809</td>\n",
" <td>99.764</td>\n",
" <td>-105.959</td>\n",
" <td>-0.406</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.256</td>\n",
" <td>0.263</td>\n",
" <td>0.0,-60.41701762419428,-62.675160123107226,-70.10098078315754,-64.88399338823248,-69.65684202319159,-59.603332249509705,-64.4636382929172,-66.62407160551683,-68.01143557705103,-67.5380429291549,-73.80987013133573,-90.85796234297753,-69.94094913557602,-79.81313507238924,-94.81372016085895,-151.03575484796272,-65.63837798853463,-61.132050356335164,-63.47669383079445,-64.8374521706156,-58.34859948618523,-62.7030418816911,-66.88012705092636,-63.3090138766452,-66.67452906083983,-63.007572751935776,-90.96756434017595,51.691141337611676,-85.84308565212628,-74.69164821856461,65.50240324414355,-66.40320359459368,-65.30457235609691,-61.29426610974433,-65.92025799759239,-61.072022534417314,-59.010936427298354,-65.33854952588165,-62.64194002032411,-79.04483017805029,-70.18726567742983,-100.86203701342042</td>\n",
" <td>86.74988983051828,-35.43574203071179,-44.264025830871745,-40.264730299547274,-42.00316272215953,-43.08710072713454,-39.0367254939542,-41.58783205986145,-38.48062529563729,-34.43132537612126,-44.539483318275025,-40.968118195248366,105.54981797603179,-8.611823088569498,-12.731158985482608,188.41102386615586,117.68107209112323,-31.37530121369642,-41.74732274223366,-41.378424084585916,-45.07194621269743,-48.39564053902063,-39.383863140665454,-43.82211734772339,-38.140323684482496,-43.66674349744812,-36.128816745921185,8.596738620396577,44.30053003129075,149.508606440333,157.78686210264664,18.797113052684725,-21.577057865304276,-23.03697033590036,-45.3551632047944,-42.054520962554825,-39.58632838781002,-49.411982585802136,-38.503412389800715,-43.68088267743077,-35.701322994965885,-45.27853349148709,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032600.pdb</td>\n",
" <td>SEIEELAKRLLKDSRGDLRKLLEELQRNNQPNYQYVEHLLRKY</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>-121.064</td>\n",
" <td>-244.426</td>\n",
" <td>29.031</td>\n",
" <td>221.440</td>\n",
" <td>-17.579</td>\n",
" <td>6.851</td>\n",
" <td>14.169</td>\n",
" <td>107.873</td>\n",
" <td>-114.030</td>\n",
" <td>-0.525</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.256</td>\n",
" <td>0.287</td>\n",
" <td>0.0,-51.87091799368676,-64.6619591856215,-67.61696240054658,-68.15975572226549,-71.10474117445663,-62.46121453509447,-62.61452674806745,-67.89731257742798,-62.55881781233866,-68.5433416761228,-63.82896994855344,-85.80341139138933,56.238664341087066,-69.16292169749866,-69.21465142956552,-101.90658947165075,-60.46202918505737,-69.99063157805487,-65.54272678848187,-66.10689404058697,-60.979556832525034,-59.496566229136114,-66.39828838949327,-66.26009193783216,-65.49731637112234,-73.73102319912029,-73.8132209120679,-69.16042616655248,-86.52764131526719,-68.9760938350884,-77.84712300540829,-52.324042504390604,-60.13170929156555,-75.09475589765687,-57.594179672415535,-62.4475439910981,-61.26251605252609,-62.806547038625695,-63.269954706990006,-70.35241607797168,-64.62569574424363,66.20302967140654</td>\n",
" <td>158.8579996719137,-30.483444726833095,-32.24966634417741,-40.66226199826478,-41.84621438723774,-39.879622281899074,-42.469617160418764,-41.46906769299146,-39.146936718130824,-41.31672044189506,-41.86360955382718,-34.57961066131456,-1.7720340892158377,42.32001699982879,143.9117036570796,-15.216632004172949,5.741726509719791,-39.11750978556931,-33.1278924424146,-39.1048546699204,-39.857079619737355,-45.89146191163548,-39.08065643394893,-37.76813369687862,-36.68836023879931,-38.39662212288831,-37.722542188143855,113.4728854094521,-14.16973576661007,-9.542043474613491,147.16288667981735,114.8157539937289,-34.792142714240384,-40.00108152122428,-40.073499268994205,-43.91745967870654,-43.187365836602496,-44.357076094918824,-39.699446516716655,-37.37637887519146,-37.74235305659722,-40.76796426813538,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032649.pdb</td>\n",
" <td>TPLDEEARRAFQRNSSTAQELLKQLERDSRADPRVIEELRRLK</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>-118.053</td>\n",
" <td>-246.797</td>\n",
" <td>27.615</td>\n",
" <td>201.156</td>\n",
" <td>-16.486</td>\n",
" <td>7.773</td>\n",
" <td>13.151</td>\n",
" <td>99.955</td>\n",
" <td>-105.873</td>\n",
" <td>-0.279</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.186</td>\n",
" <td>0.261</td>\n",
" <td>0.0,-64.14140572246093,-63.00727802265437,-66.34861710895203,-58.86076460132219,-62.32542656366038,-65.59917619717174,-61.577051799155115,-62.86491434010714,-71.14408707352696,-63.27032769683299,-63.983364546726165,-88.98161138277746,-85.30664850078092,-67.0799340141522,-91.62369411037075,45.98458859119583,-66.60056501798285,-65.95521872473674,-63.19634522125229,-70.51178137209546,-67.67434342381853,-62.54734420907427,-65.32080118341315,-58.85400398229917,-66.83881907878119,-65.88550842831933,-72.89619674594299,72.84512983861967,-98.83603473442105,-117.27724688833295,-80.01600306074138,-67.078988418097,-58.355349657405085,-65.23554308562461,-60.641376535734004,-65.317036597681,-61.866853984711135,-58.54084510362138,-60.56779610872141,-69.87167144311813,-79.73645301805705,-49.25889852186145</td>\n",
" <td>25.578814731294123,-38.00816667494092,-38.18603508456187,-44.88949754838419,-47.05544184821509,-47.948703778124596,-45.48749695423693,-42.14243390476543,-37.75151528353585,-38.74388794487499,-36.112909419401255,-18.55808297235601,-1.707423120995015,178.80482024228107,-21.902334647745658,-1.8914604902347074,-123.96138219092286,-24.93882293050007,-29.618265586630912,-35.521979218319345,-40.681965387906416,-43.16171991450866,-44.16894954911073,-49.56610388582879,-39.46124767285913,-48.7936201972212,-32.65535564981697,-11.482352446127866,32.81110840004064,101.3670297959233,16.59891847155383,157.62533469511726,-37.63931354464049,-47.29777990400261,-42.491036399236435,-39.72059060432613,-41.17966549868329,-41.44066064018972,-50.92708679416365,-39.259762522794176,-36.37017595744394,-42.88985425838916,0.0</td>\n",
" <td>LHHHHHHHHHHHHLLLHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032655.pdb</td>\n",
" <td>SEEVKKILKELLKDKDKQEALKKWAKKAGLTDEHVRRLMKKIM</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>-104.212</td>\n",
" <td>-233.769</td>\n",
" <td>22.690</td>\n",
" <td>224.682</td>\n",
" <td>-19.032</td>\n",
" <td>7.830</td>\n",
" <td>17.118</td>\n",
" <td>105.340</td>\n",
" <td>-107.677</td>\n",
" <td>-0.330</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.163</td>\n",
" <td>0.334</td>\n",
" <td>0.0,-54.55716758878108,-60.24671925133987,-60.96339544115801,-60.4675875865348,-65.77193234772929,-63.55634861036867,-65.2463797731284,-62.50391995000622,-63.22152662835138,-64.12082980279126,-60.019510478858145,-83.12438915418637,58.74835726165174,-96.7981056833779,-137.85384467753593,-66.3124475793145,-66.15849001928508,-59.9076502864336,-64.3169028034401,-76.79331549477475,-66.36850353169604,-68.16591033137897,-64.04728039289955,-61.70678618814965,-63.609803242619186,-65.94857491469905,-82.15981537380956,54.80929852805371,63.573395064002774,-73.04058179696266,-100.49654188783236,-59.99847576735693,-64.14260214702321,-64.89686513161355,-68.97927149490033,-58.905041199309586,-63.52492336847542,-60.74298066505938,-71.18874876998304,-63.4746892769842,-59.87672154381264,104.91421937347923</td>\n",
" <td>162.466560504179,-34.371169669132804,-48.198721119432335,-44.746258974755015,-41.58444350400652,-44.175525554528924,-40.431811999497974,-45.50860646436511,-39.02126456509508,-39.202897049339164,-46.86641819406775,-35.31366694139388,1.0583826778749952,42.434925560250385,-9.48288859027419,152.04987206388313,150.80409295854002,-14.525527849873443,-29.266363669273485,-30.398676915398468,-35.677547225261804,-39.83633257978659,-37.358933341260766,-45.122994051902474,-45.49768997278267,-50.004448638381334,-34.320891167795246,-1.2759854872937306,44.098749022055536,19.181033426575183,-38.37219849376893,15.606161452197789,-38.24378966839477,-39.36839166390034,-41.2411702671999,-45.793755546932815,-43.14053151466278,-43.815162619659574,-39.80814871403034,-36.98126239102244,-42.777828401291885,-41.08526266485512,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032822.pdb</td>\n",
" <td>DPKTEELIKQYQRKERSEEMMEELRKKANNRNKEMIKKARKDG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>-111.605</td>\n",
" <td>-241.044</td>\n",
" <td>29.032</td>\n",
" <td>188.744</td>\n",
" <td>-17.360</td>\n",
" <td>7.708</td>\n",
" <td>13.119</td>\n",
" <td>95.556</td>\n",
" <td>-102.038</td>\n",
" <td>-0.335</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.186</td>\n",
" <td>0.335</td>\n",
" <td>0.0,-61.816026473581395,-60.87873427386993,-64.51024770761043,-63.10392233294926,-64.23482012032534,-64.680874248356,-60.66961314351576,-71.64463978334865,-63.24105965575744,-68.51336264921207,-87.40874592621869,52.85547148280792,-66.37135130048894,-159.28162388186527,-72.04898204335726,-91.23362478670171,-59.19866149020611,-70.40617266813769,-69.41468304560698,-64.35874575364411,-63.02918602763617,-61.24466252896299,-60.56573364691166,-66.43755382418904,-72.25860023352529,-66.28395963794418,-87.08050049367311,54.3695702401474,-99.04581680264154,-104.37947103434662,50.59528408561853,-68.21538426658607,-67.12484362281268,-66.47994182018405,-61.428431832870345,-66.59170804313756,-66.229930924608,-62.46970952055127,-62.91998644731243,-66.55357012253441,-64.34196161315106,104.4673399414333</td>\n",
" <td>115.99844970876589,-37.54483533122744,-43.79033726430612,-42.33399027064176,-39.63509633907059,-46.13586564515068,-39.62586069732336,-40.02115810065967,-43.597573295722896,-31.508669700612042,-13.493978955523716,-4.813174407090667,58.97031925478837,-22.27680664176824,177.99664528032784,-10.477330060180872,1.265725177997705,-27.14115361849895,-30.681013517424013,-32.61183114514764,-46.83765846926104,-42.68357484593599,-46.187160289435205,-47.060519436449425,-30.670942054519475,-51.41204082569745,-34.63503503189473,3.9149217565832197,43.50019502443131,-34.696627768614924,-22.945302628210737,-123.52096880255584,-21.947745499194514,-51.95328061082064,-35.67083657211858,-47.92772919130619,-42.27368173394641,-45.14734723283217,-41.7848860485962,-40.029111067566824,-38.54908540192382,-41.05432821808837,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032833.pdb</td>\n",
" <td>TEVEEILKRAAKKPDHKFREIFRELIERNLANELAKQILKELG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>-114.042</td>\n",
" <td>-232.848</td>\n",
" <td>25.142</td>\n",
" <td>220.845</td>\n",
" <td>-15.183</td>\n",
" <td>5.901</td>\n",
" <td>16.186</td>\n",
" <td>108.961</td>\n",
" <td>-109.326</td>\n",
" <td>-0.454</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.209</td>\n",
" <td>0.307</td>\n",
" <td>0.0,-51.48024869435859,-59.30778457208701,-70.60289584858495,-66.93899312498681,-66.40987252599236,-63.39382558395998,-68.04356223920345,-60.652432621310155,-61.89635497385933,-66.37577601401324,-59.33058313849102,-61.15876480231454,-92.94710455669764,-91.84443978530747,55.43377521064221,-93.5287567500433,-61.22058011758979,-62.6599744987428,-67.9175329438902,-60.01443546754284,-68.75214466312453,-65.62739940328859,-64.87353840147269,-66.29795444331049,-76.10226119083158,-64.29362577571187,-69.72607493706828,-83.862996791081,52.1357800088046,-77.40988220337988,-60.408693077595245,-61.86958068055051,-62.64951573690476,-69.13596403458016,-68.27742022206758,-61.49792138406971,-63.987110515267474,-61.724628545273895,-60.13465608934933,-68.32074089335299,-70.37578445473903,-77.69343976874832</td>\n",
" <td>104.35277004349973,-33.65241222333037,-38.1849871291387,-37.941728883025604,-42.30006626124337,-37.574514526073806,-39.9311708273235,-34.412428732484315,-41.697672561826515,-36.432959821076594,-47.81068520869051,-33.899854395478414,-30.250117653227385,-26.322558143473863,2.5274835592379366,41.845325944061216,84.410194385844,-40.774269149420036,-36.95627350673593,-43.41264520614228,-40.41748703627092,-42.770426428818716,-39.39398806304044,-39.46164868323077,-41.46422271617256,-36.54568408518662,-30.80083988264804,-19.210582850185627,64.44608830757603,43.668058673575395,161.29180496716185,146.2035885699289,-37.855518496395646,-39.54432856162265,-39.83097584997943,-45.23404029279285,-41.49031865761338,-43.20410430845697,-43.061475307962596,-39.412520277521644,-36.44286754001981,-36.33698118177661,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032943.pdb</td>\n",
" <td>SPEEFEKLKEKAKRENNEEVLRKLEEAAKNASEEEIKELKRQI</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>-99.049</td>\n",
" <td>-240.205</td>\n",
" <td>23.017</td>\n",
" <td>218.837</td>\n",
" <td>-17.455</td>\n",
" <td>6.648</td>\n",
" <td>16.604</td>\n",
" <td>109.615</td>\n",
" <td>-109.807</td>\n",
" <td>-0.414</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.279</td>\n",
" <td>0.275</td>\n",
" <td>0.0,-64.0487359118943,-69.69104607827998,-61.32384411097726,-62.316170158356016,-60.94259923238814,-63.14942364428239,-62.10751237754549,-62.23635579091567,-67.79393522723588,-67.30264243643552,-75.58324111263224,-70.17633470937064,-72.37674482389288,-96.35816108479204,-88.32445184168974,-128.1497200942804,-64.11788841385271,-58.5515355621417,-64.59986106202211,-62.604239688873925,-62.35188106160262,-61.03252802587855,-66.81474002031639,-65.98858419729268,-79.24528850470969,-67.7229091745369,-101.72399468575834,-77.61431535481827,-64.53081199307239,-57.304811091192086,-54.71748629994325,-67.85111585098318,-83.14762414240734,-66.18775915739461,-63.62534372613044,-60.39420097192371,-56.75266710610848,-65.19042031492202,-59.02636279350242,-64.9602074846891,-67.76554881186445,-53.10341749547002</td>\n",
" <td>179.99932169695205,-37.016486662352094,-41.47630395662156,-40.03030656890961,-39.56292271313878,-43.38610646529196,-40.96371913397039,-44.21868303816494,-40.58901651385193,-40.99133170661388,-37.51278143834419,-43.982415527758825,139.10487165398837,-10.323620520779322,-4.799437836543055,156.37941986362603,159.37891113067573,-31.029282653163424,-43.24960993315491,-40.19749163258058,-45.053573671948094,-40.1418523683894,-40.0845007678448,-39.738177637595804,-35.183828082290965,-37.66835459458902,-44.69273313376687,144.888762214947,-12.15119120213544,113.68605589268499,-23.632059907604464,-33.84497063726042,-34.23792356033179,-32.29024893858771,-37.36357065360846,-45.28548026384168,-40.55544530300989,-51.823455234278185,-37.526876634262045,-48.16444199700557,-38.89715626752906,-37.274510720964294,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLHHHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032955.pdb</td>\n",
" <td>SEIEERLEKLARSETGTEEQMRQLAKKYEDPSAREFLKRYREK</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>10 rows × 61 columns</p>\n",
"</div>"
],
"text/plain": [
" score fa_atr fa_rep fa_sol fa_intra_atr_xover4 \\\n",
"0 -115.348 -248.220 23.856 204.601 -19.273 \n",
"1 -111.579 -239.381 25.203 188.087 -15.924 \n",
"2 -107.145 -245.738 23.800 223.426 -17.090 \n",
"3 -116.810 -243.867 21.962 204.181 -19.960 \n",
"4 -121.064 -244.426 29.031 221.440 -17.579 \n",
"5 -118.053 -246.797 27.615 201.156 -16.486 \n",
"6 -104.212 -233.769 22.690 224.682 -19.032 \n",
"7 -111.605 -241.044 29.032 188.744 -17.360 \n",
"8 -114.042 -232.848 25.142 220.845 -15.183 \n",
"9 -99.049 -240.205 23.017 218.837 -17.455 \n",
"\n",
" fa_intra_rep_xover4 fa_intra_sol_xover4 lk_ball lk_ball_iso \\\n",
"0 8.070 17.321 99.223 -105.788 \n",
"1 10.248 12.333 102.075 -103.115 \n",
"2 6.658 15.022 112.316 -111.729 \n",
"3 7.784 15.809 99.764 -105.959 \n",
"4 6.851 14.169 107.873 -114.030 \n",
"5 7.773 13.151 99.955 -105.873 \n",
"6 7.830 17.118 105.340 -107.677 \n",
"7 7.708 13.119 95.556 -102.038 \n",
"8 5.901 16.186 108.961 -109.326 \n",
"9 6.648 16.604 109.615 -109.807 \n",
"\n",
" lk_ball_bridge ... nres_loop nres_sheet nres_total percent_core \\\n",
"0 -0.548 ... 11.0 0.0 43.0 0.256 \n",
"1 -0.478 ... 12.0 0.0 43.0 0.349 \n",
"2 -0.325 ... 10.0 0.0 43.0 0.163 \n",
"3 -0.406 ... 12.0 0.0 43.0 0.256 \n",
"4 -0.525 ... 12.0 0.0 43.0 0.256 \n",
"5 -0.279 ... 10.0 0.0 43.0 0.186 \n",
"6 -0.330 ... 12.0 0.0 43.0 0.163 \n",
"7 -0.335 ... 10.0 0.0 43.0 0.186 \n",
"8 -0.454 ... 12.0 0.0 43.0 0.209 \n",
"9 -0.414 ... 10.0 0.0 43.0 0.279 \n",
"\n",
" ss_mismatch_probability \\\n",
"0 0.302 \n",
"1 0.267 \n",
"2 0.281 \n",
"3 0.263 \n",
"4 0.287 \n",
"5 0.261 \n",
"6 0.334 \n",
"7 0.335 \n",
"8 0.307 \n",
"9 0.275 \n",
"\n",
" PHI \\\n",
"0 0.0,-66.61703742125313,-66.66204304586961,-64.2627475879439,-66.44318693590479,-65.27866717342658,-55.47564223945256,-60.55650264141377,-64.22576792577901,-64.02494083109615,-66.58947909877377,-63.445941933853376,-82.68156985834482,57.87345390963645,-67.16285450680006,-89.02662257634594,-89.709039177475,-77.08106174109108,-69.61483090932575,-65.15474559676444,-57.74476095018723,-63.16713300307241,-70.47268396961864,-68.51553046099137,-64.51032489503767,-63.496345967103316,-64.2865806993615,-68.00154858290396,101.8111743976923,-94.05687803119253,-83.05266794048505,-79.29649799606862,-63.645260272174184,-68.98036302624823,-70.56949099309887,-60.852820372348376,-65.40300963386642,-60.40027121280268,-69.43870153142986,-60.722972493878466,-72.37369148915171,-66.88119749195621,-158.01695932191876 \n",
"1 0.0,-64.3519467853161,-63.418086930463815,-65.56673176992616,-62.937028353387916,-64.84600479810152,-60.46768276861964,-64.99142204050862,-59.049636840404,-63.18631177283314,-58.85645964636771,-64.35015465192834,-97.54005666361657,-52.86373021885636,100.75694461007625,-71.36374889851632,-72.82703291356235,-61.32485242033397,-64.54206754213402,-64.50010229369639,-64.6732629210743,-57.12234914566474,-61.09981426241765,-64.47279134871839,-62.10672300145529,-66.14427121037937,-66.00261452846901,-68.06192326827916,-69.68543652922278,91.85104777792408,-81.18992895090004,-109.41994732519733,-61.87846575537298,-61.974640237969076,-65.06401434230709,-62.69618238650833,-58.63360441093861,-57.32725924615807,-58.089019700406446,-63.92901632178451,-78.36838629831337,-67.86420289769583,-89.24805136111644 \n",
"2 0.0,-65.67988795578451,-63.810354341309825,-66.02631367384691,-62.52707616603043,-63.14156238435789,-57.622158107998445,-67.00528688950165,-62.262488202654865,-56.67415089889363,-75.70994045838138,-57.82533593806999,-59.59509360861571,-107.55320642586815,-158.6619894605935,-60.21877818562311,-77.72389500225836,-66.73588150093684,-58.28927125331593,-63.51405894541939,-64.2112927310839,-69.99061840234413,-63.167751675530006,-61.341939555083336,-62.479825943586405,-64.86060162547874,-66.09188262454094,-74.38667346389701,76.63920879829728,-63.18352223795158,-159.69209623128305,-71.53124764266492,-68.15041659663433,-67.36767207528698,-69.8458102064516,-66.3839607671189,-61.57783095416169,-62.74107723116324,-63.47241380519334,-64.46457303636892,-76.13233073851131,-73.17889096830872,-78.7192332015827 \n",
"3 0.0,-60.41701762419428,-62.675160123107226,-70.10098078315754,-64.88399338823248,-69.65684202319159,-59.603332249509705,-64.4636382929172,-66.62407160551683,-68.01143557705103,-67.5380429291549,-73.80987013133573,-90.85796234297753,-69.94094913557602,-79.81313507238924,-94.81372016085895,-151.03575484796272,-65.63837798853463,-61.132050356335164,-63.47669383079445,-64.8374521706156,-58.34859948618523,-62.7030418816911,-66.88012705092636,-63.3090138766452,-66.67452906083983,-63.007572751935776,-90.96756434017595,51.691141337611676,-85.84308565212628,-74.69164821856461,65.50240324414355,-66.40320359459368,-65.30457235609691,-61.29426610974433,-65.92025799759239,-61.072022534417314,-59.010936427298354,-65.33854952588165,-62.64194002032411,-79.04483017805029,-70.18726567742983,-100.86203701342042 \n",
"4 0.0,-51.87091799368676,-64.6619591856215,-67.61696240054658,-68.15975572226549,-71.10474117445663,-62.46121453509447,-62.61452674806745,-67.89731257742798,-62.55881781233866,-68.5433416761228,-63.82896994855344,-85.80341139138933,56.238664341087066,-69.16292169749866,-69.21465142956552,-101.90658947165075,-60.46202918505737,-69.99063157805487,-65.54272678848187,-66.10689404058697,-60.979556832525034,-59.496566229136114,-66.39828838949327,-66.26009193783216,-65.49731637112234,-73.73102319912029,-73.8132209120679,-69.16042616655248,-86.52764131526719,-68.9760938350884,-77.84712300540829,-52.324042504390604,-60.13170929156555,-75.09475589765687,-57.594179672415535,-62.4475439910981,-61.26251605252609,-62.806547038625695,-63.269954706990006,-70.35241607797168,-64.62569574424363,66.20302967140654 \n",
"5 0.0,-64.14140572246093,-63.00727802265437,-66.34861710895203,-58.86076460132219,-62.32542656366038,-65.59917619717174,-61.577051799155115,-62.86491434010714,-71.14408707352696,-63.27032769683299,-63.983364546726165,-88.98161138277746,-85.30664850078092,-67.0799340141522,-91.62369411037075,45.98458859119583,-66.60056501798285,-65.95521872473674,-63.19634522125229,-70.51178137209546,-67.67434342381853,-62.54734420907427,-65.32080118341315,-58.85400398229917,-66.83881907878119,-65.88550842831933,-72.89619674594299,72.84512983861967,-98.83603473442105,-117.27724688833295,-80.01600306074138,-67.078988418097,-58.355349657405085,-65.23554308562461,-60.641376535734004,-65.317036597681,-61.866853984711135,-58.54084510362138,-60.56779610872141,-69.87167144311813,-79.73645301805705,-49.25889852186145 \n",
"6 0.0,-54.55716758878108,-60.24671925133987,-60.96339544115801,-60.4675875865348,-65.77193234772929,-63.55634861036867,-65.2463797731284,-62.50391995000622,-63.22152662835138,-64.12082980279126,-60.019510478858145,-83.12438915418637,58.74835726165174,-96.7981056833779,-137.85384467753593,-66.3124475793145,-66.15849001928508,-59.9076502864336,-64.3169028034401,-76.79331549477475,-66.36850353169604,-68.16591033137897,-64.04728039289955,-61.70678618814965,-63.609803242619186,-65.94857491469905,-82.15981537380956,54.80929852805371,63.573395064002774,-73.04058179696266,-100.49654188783236,-59.99847576735693,-64.14260214702321,-64.89686513161355,-68.97927149490033,-58.905041199309586,-63.52492336847542,-60.74298066505938,-71.18874876998304,-63.4746892769842,-59.87672154381264,104.91421937347923 \n",
"7 0.0,-61.816026473581395,-60.87873427386993,-64.51024770761043,-63.10392233294926,-64.23482012032534,-64.680874248356,-60.66961314351576,-71.64463978334865,-63.24105965575744,-68.51336264921207,-87.40874592621869,52.85547148280792,-66.37135130048894,-159.28162388186527,-72.04898204335726,-91.23362478670171,-59.19866149020611,-70.40617266813769,-69.41468304560698,-64.35874575364411,-63.02918602763617,-61.24466252896299,-60.56573364691166,-66.43755382418904,-72.25860023352529,-66.28395963794418,-87.08050049367311,54.3695702401474,-99.04581680264154,-104.37947103434662,50.59528408561853,-68.21538426658607,-67.12484362281268,-66.47994182018405,-61.428431832870345,-66.59170804313756,-66.229930924608,-62.46970952055127,-62.91998644731243,-66.55357012253441,-64.34196161315106,104.4673399414333 \n",
"8 0.0,-51.48024869435859,-59.30778457208701,-70.60289584858495,-66.93899312498681,-66.40987252599236,-63.39382558395998,-68.04356223920345,-60.652432621310155,-61.89635497385933,-66.37577601401324,-59.33058313849102,-61.15876480231454,-92.94710455669764,-91.84443978530747,55.43377521064221,-93.5287567500433,-61.22058011758979,-62.6599744987428,-67.9175329438902,-60.01443546754284,-68.75214466312453,-65.62739940328859,-64.87353840147269,-66.29795444331049,-76.10226119083158,-64.29362577571187,-69.72607493706828,-83.862996791081,52.1357800088046,-77.40988220337988,-60.408693077595245,-61.86958068055051,-62.64951573690476,-69.13596403458016,-68.27742022206758,-61.49792138406971,-63.987110515267474,-61.724628545273895,-60.13465608934933,-68.32074089335299,-70.37578445473903,-77.69343976874832 \n",
"9 0.0,-64.0487359118943,-69.69104607827998,-61.32384411097726,-62.316170158356016,-60.94259923238814,-63.14942364428239,-62.10751237754549,-62.23635579091567,-67.79393522723588,-67.30264243643552,-75.58324111263224,-70.17633470937064,-72.37674482389288,-96.35816108479204,-88.32445184168974,-128.1497200942804,-64.11788841385271,-58.5515355621417,-64.59986106202211,-62.604239688873925,-62.35188106160262,-61.03252802587855,-66.81474002031639,-65.98858419729268,-79.24528850470969,-67.7229091745369,-101.72399468575834,-77.61431535481827,-64.53081199307239,-57.304811091192086,-54.71748629994325,-67.85111585098318,-83.14762414240734,-66.18775915739461,-63.62534372613044,-60.39420097192371,-56.75266710610848,-65.19042031492202,-59.02636279350242,-64.9602074846891,-67.76554881186445,-53.10341749547002 \n",
"\n",
" PSI \\\n",
"0 -15.270410929420306,-27.453350620107514,-43.343499065683496,-41.50737623458657,-38.729269075765906,-43.740823999394834,-47.811348775724895,-39.95352552646714,-40.32243118212867,-35.90586187723031,-43.04035388824186,-33.76244729550682,1.3499443829536215,43.743951291249864,141.23579948572367,-28.018696371231332,49.3329196277017,-32.92968480556337,-37.82091957363441,-39.94325194788841,-49.386346222146415,-45.9522658156121,-37.233887342561125,-44.33228429648577,-33.859499865924036,-48.468920043307065,-39.5520664499651,-34.27235262288263,19.10615110194125,-26.542008131567737,130.03494579330095,166.1985356807009,-40.07836591289924,-44.039394152274824,-36.271535277646635,-51.21028563456098,-41.640579618357776,-51.18460949128726,-33.73971300615915,-36.61614548071734,-36.54068430712844,-45.00943197786171,0.0 \n",
"1 135.29049056466624,-44.3565372650317,-39.44213431209112,-39.813270032614355,-44.34201877339164,-43.534511504796356,-41.92051977907319,-40.62558720133791,-44.1940958663573,-43.6038936284092,-48.88955537867602,-34.80524214505524,18.73689667446474,134.23485792624905,-14.193883138670655,156.87051590470855,163.20839740726998,-37.125238128619756,-41.06313289927764,-43.28759722099899,-41.801725412414605,-48.76218444761745,-43.068821843732735,-40.55155304541878,-38.54489931440367,-36.85904541676932,-35.12446892323645,125.3914543230007,145.65503193618588,-8.208151559667714,126.69306929503253,-174.3708053732862,-38.44431561898169,-46.07858141526455,-37.39032838784732,-45.66377989383726,-40.39137357798858,-48.76846703504008,-38.57259568994066,-33.276471026442586,-34.93916532435953,-38.69601513404585,0.0 \n",
"2 169.09647837628498,-38.48610986516323,-37.445295306603136,-40.034129454495364,-41.834791793462465,-41.06188007692538,-51.58163334308966,-34.94163317775788,-44.66379813137101,-38.533143540345364,-45.42500838170542,-36.897986758152186,-23.396858595182916,-35.92803772141464,95.48536968252863,-25.673874565266583,-37.54831860695169,-38.97888818191979,-41.1154614010036,-41.7877290810818,-41.08227751004935,-32.58560008045613,-40.321241605636544,-43.801834336452735,-41.654211107244144,-48.31989573685587,-34.35399011170958,-7.225226659148367,25.0225457801468,-48.73117370127896,160.46243708095133,162.4646737504978,-26.420342328218975,-42.254404777018586,-41.76209955541568,-38.34376695162168,-43.453214025532574,-41.121342661767876,-38.10191093818169,-37.77791301457546,-35.21126264156708,-38.34464722698572,0.0 \n",
"3 86.74988983051828,-35.43574203071179,-44.264025830871745,-40.264730299547274,-42.00316272215953,-43.08710072713454,-39.0367254939542,-41.58783205986145,-38.48062529563729,-34.43132537612126,-44.539483318275025,-40.968118195248366,105.54981797603179,-8.611823088569498,-12.731158985482608,188.41102386615586,117.68107209112323,-31.37530121369642,-41.74732274223366,-41.378424084585916,-45.07194621269743,-48.39564053902063,-39.383863140665454,-43.82211734772339,-38.140323684482496,-43.66674349744812,-36.128816745921185,8.596738620396577,44.30053003129075,149.508606440333,157.78686210264664,18.797113052684725,-21.577057865304276,-23.03697033590036,-45.3551632047944,-42.054520962554825,-39.58632838781002,-49.411982585802136,-38.503412389800715,-43.68088267743077,-35.701322994965885,-45.27853349148709,0.0 \n",
"4 158.8579996719137,-30.483444726833095,-32.24966634417741,-40.66226199826478,-41.84621438723774,-39.879622281899074,-42.469617160418764,-41.46906769299146,-39.146936718130824,-41.31672044189506,-41.86360955382718,-34.57961066131456,-1.7720340892158377,42.32001699982879,143.9117036570796,-15.216632004172949,5.741726509719791,-39.11750978556931,-33.1278924424146,-39.1048546699204,-39.857079619737355,-45.89146191163548,-39.08065643394893,-37.76813369687862,-36.68836023879931,-38.39662212288831,-37.722542188143855,113.4728854094521,-14.16973576661007,-9.542043474613491,147.16288667981735,114.8157539937289,-34.792142714240384,-40.00108152122428,-40.073499268994205,-43.91745967870654,-43.187365836602496,-44.357076094918824,-39.699446516716655,-37.37637887519146,-37.74235305659722,-40.76796426813538,0.0 \n",
"5 25.578814731294123,-38.00816667494092,-38.18603508456187,-44.88949754838419,-47.05544184821509,-47.948703778124596,-45.48749695423693,-42.14243390476543,-37.75151528353585,-38.74388794487499,-36.112909419401255,-18.55808297235601,-1.707423120995015,178.80482024228107,-21.902334647745658,-1.8914604902347074,-123.96138219092286,-24.93882293050007,-29.618265586630912,-35.521979218319345,-40.681965387906416,-43.16171991450866,-44.16894954911073,-49.56610388582879,-39.46124767285913,-48.7936201972212,-32.65535564981697,-11.482352446127866,32.81110840004064,101.3670297959233,16.59891847155383,157.62533469511726,-37.63931354464049,-47.29777990400261,-42.491036399236435,-39.72059060432613,-41.17966549868329,-41.44066064018972,-50.92708679416365,-39.259762522794176,-36.37017595744394,-42.88985425838916,0.0 \n",
"6 162.466560504179,-34.371169669132804,-48.198721119432335,-44.746258974755015,-41.58444350400652,-44.175525554528924,-40.431811999497974,-45.50860646436511,-39.02126456509508,-39.202897049339164,-46.86641819406775,-35.31366694139388,1.0583826778749952,42.434925560250385,-9.48288859027419,152.04987206388313,150.80409295854002,-14.525527849873443,-29.266363669273485,-30.398676915398468,-35.677547225261804,-39.83633257978659,-37.358933341260766,-45.122994051902474,-45.49768997278267,-50.004448638381334,-34.320891167795246,-1.2759854872937306,44.098749022055536,19.181033426575183,-38.37219849376893,15.606161452197789,-38.24378966839477,-39.36839166390034,-41.2411702671999,-45.793755546932815,-43.14053151466278,-43.815162619659574,-39.80814871403034,-36.98126239102244,-42.777828401291885,-41.08526266485512,0.0 \n",
"7 115.99844970876589,-37.54483533122744,-43.79033726430612,-42.33399027064176,-39.63509633907059,-46.13586564515068,-39.62586069732336,-40.02115810065967,-43.597573295722896,-31.508669700612042,-13.493978955523716,-4.813174407090667,58.97031925478837,-22.27680664176824,177.99664528032784,-10.477330060180872,1.265725177997705,-27.14115361849895,-30.681013517424013,-32.61183114514764,-46.83765846926104,-42.68357484593599,-46.187160289435205,-47.060519436449425,-30.670942054519475,-51.41204082569745,-34.63503503189473,3.9149217565832197,43.50019502443131,-34.696627768614924,-22.945302628210737,-123.52096880255584,-21.947745499194514,-51.95328061082064,-35.67083657211858,-47.92772919130619,-42.27368173394641,-45.14734723283217,-41.7848860485962,-40.029111067566824,-38.54908540192382,-41.05432821808837,0.0 \n",
"8 104.35277004349973,-33.65241222333037,-38.1849871291387,-37.941728883025604,-42.30006626124337,-37.574514526073806,-39.9311708273235,-34.412428732484315,-41.697672561826515,-36.432959821076594,-47.81068520869051,-33.899854395478414,-30.250117653227385,-26.322558143473863,2.5274835592379366,41.845325944061216,84.410194385844,-40.774269149420036,-36.95627350673593,-43.41264520614228,-40.41748703627092,-42.770426428818716,-39.39398806304044,-39.46164868323077,-41.46422271617256,-36.54568408518662,-30.80083988264804,-19.210582850185627,64.44608830757603,43.668058673575395,161.29180496716185,146.2035885699289,-37.855518496395646,-39.54432856162265,-39.83097584997943,-45.23404029279285,-41.49031865761338,-43.20410430845697,-43.061475307962596,-39.412520277521644,-36.44286754001981,-36.33698118177661,0.0 \n",
"9 179.99932169695205,-37.016486662352094,-41.47630395662156,-40.03030656890961,-39.56292271313878,-43.38610646529196,-40.96371913397039,-44.21868303816494,-40.58901651385193,-40.99133170661388,-37.51278143834419,-43.982415527758825,139.10487165398837,-10.323620520779322,-4.799437836543055,156.37941986362603,159.37891113067573,-31.029282653163424,-43.24960993315491,-40.19749163258058,-45.053573671948094,-40.1418523683894,-40.0845007678448,-39.738177637595804,-35.183828082290965,-37.66835459458902,-44.69273313376687,144.888762214947,-12.15119120213544,113.68605589268499,-23.632059907604464,-33.84497063726042,-34.23792356033179,-32.29024893858771,-37.36357065360846,-45.28548026384168,-40.55544530300989,-51.823455234278185,-37.526876634262045,-48.16444199700557,-38.89715626752906,-37.274510720964294,0.0 \n",
"\n",
" SSE \\\n",
"0 LHHHHHHHHHHHLLLLLHHHHHHHHHHHLLLLHHHHHHHHHHL \n",
"1 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"2 LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"3 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"4 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"5 LHHHHHHHHHHHHLLLHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"6 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"7 LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"8 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"9 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLHHHHHHHHHHHHL \n",
"\n",
" description \\\n",
"0 EHPC100_job_77_hhh_11.5.10.5.10_20201122032157.pdb \n",
"1 EHPC100_job_77_hhh_11.5.10.5.10_20201122032313.pdb \n",
"2 EHPC100_job_77_hhh_11.5.10.5.10_20201122032428.pdb \n",
"3 EHPC100_job_77_hhh_11.5.10.5.10_20201122032600.pdb \n",
"4 EHPC100_job_77_hhh_11.5.10.5.10_20201122032649.pdb \n",
"5 EHPC100_job_77_hhh_11.5.10.5.10_20201122032655.pdb \n",
"6 EHPC100_job_77_hhh_11.5.10.5.10_20201122032822.pdb \n",
"7 EHPC100_job_77_hhh_11.5.10.5.10_20201122032833.pdb \n",
"8 EHPC100_job_77_hhh_11.5.10.5.10_20201122032943.pdb \n",
"9 EHPC100_job_77_hhh_11.5.10.5.10_20201122032955.pdb \n",
"\n",
" sequence_A \n",
"0 SHIEEIFKELQRQNASNLREFVEEAWRRGEMSEELYKKMKKIV \n",
"1 SVEEIVKKMIKKASGASREQIKKLAEKIPGVDERVIKMAERLI \n",
"2 SEEEKEFLKRVKDKDPELAKKMQKLLENGYASIEQLQKQLEKR \n",
"3 SEIEELAKRLLKDSRGDLRKLLEELQRNNQPNYQYVEHLLRKY \n",
"4 TPLDEEARRAFQRNSSTAQELLKQLERDSRADPRVIEELRRLK \n",
"5 SEEVKKILKELLKDKDKQEALKKWAKKAGLTDEHVRRLMKKIM \n",
"6 DPKTEELIKQYQRKERSEEMMEELRKKANNRNKEMIKKARKDG \n",
"7 TEVEEILKRAAKKPDHKFREIFRELIERNLANELAKQILKELG \n",
"8 SPEEFEKLKEKAKRENNEEVLRKLEEAAKNASEEEIKELKRQI \n",
"9 SEIEERLEKLARSETGTEEQMRQLAKKYEDPSAREFLKRYREK \n",
"\n",
"[10 rows x 61 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 定义description, description是一个字典格式;\n",
"rules = {'sequence': 'A'}\n",
"# rules = {'scores_ignore': [''], 'sequence': 'HL'}\n",
"\n",
"# 根据rules进行读取:\n",
"silent_file = './data/design_result.silent'\n",
"df_ignore = parse_rosetta_file(silent_file, rules)\n",
"\n",
"# 打印读取数据:\n",
"df_ignore"
]
},
{
"cell_type": "markdown",
"id": "269ad74c",
"metadata": {},
"source": [
"**练习: 尝试上述不同的rules，看看会有些什么效果？**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ed48dc6f-52bd-4653-9063-7f60908a2b24",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"id": "6eb1ea60-70eb-4dc9-a0af-222dd77fb4b9",
"metadata": {
"tags": []
},
"source": [
"#### 3.2 Selection:数据过滤筛选（重要）\n",
"其实rstoolbox的重要的功能之一就是读取silent文件至pandas的DataFrame，之后的过滤筛选都是用的DataFrame的逻辑。\n",
"此处主要介绍: \n",
"- 选择语法\n",
"- 排序语法\n",
"- 截取语法"
]
},
{
"cell_type": "markdown",
"id": "aea61fdc-5c22-4592-b95c-08939461e113",
"metadata": {},
"source": [
"**选择语法1**:\n",
"df_selection = df[ ( df['metrics'] == value ) ]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "e3768372-df38-4c76-a046-24ad7f48f6d2",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>score</th>\n",
" <th>fa_atr</th>\n",
" <th>fa_rep</th>\n",
" <th>fa_sol</th>\n",
" <th>fa_intra_atr_xover4</th>\n",
" <th>fa_intra_rep_xover4</th>\n",
" <th>fa_intra_sol_xover4</th>\n",
" <th>lk_ball</th>\n",
" <th>lk_ball_iso</th>\n",
" <th>lk_ball_bridge</th>\n",
" <th>...</th>\n",
" <th>nres_loop</th>\n",
" <th>nres_sheet</th>\n",
" <th>nres_total</th>\n",
" <th>percent_core</th>\n",
" <th>ss_mismatch_probability</th>\n",
" <th>PHI</th>\n",
" <th>PSI</th>\n",
" <th>SSE</th>\n",
" <th>description</th>\n",
" <th>sequence_A</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>-115.348</td>\n",
" <td>-248.220</td>\n",
" <td>23.856</td>\n",
" <td>204.601</td>\n",
" <td>-19.273</td>\n",
" <td>8.070</td>\n",
" <td>17.321</td>\n",
" <td>99.223</td>\n",
" <td>-105.788</td>\n",
" <td>-0.548</td>\n",
" <td>...</td>\n",
" <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.256</td>\n",
" <td>0.302</td>\n",
" <td>0.0,-66.61703742125313,-66.66204304586961,-64.2627475879439,-66.44318693590479,-65.27866717342658,-55.47564223945256,-60.55650264141377,-64.22576792577901,-64.02494083109615,-66.58947909877377,-63.445941933853376,-82.68156985834482,57.87345390963645,-67.16285450680006,-89.02662257634594,-89.709039177475,-77.08106174109108,-69.61483090932575,-65.15474559676444,-57.74476095018723,-63.16713300307241,-70.47268396961864,-68.51553046099137,-64.51032489503767,-63.496345967103316,-64.2865806993615,-68.00154858290396,101.8111743976923,-94.05687803119253,-83.05266794048505,-79.29649799606862,-63.645260272174184,-68.98036302624823,-70.56949099309887,-60.852820372348376,-65.40300963386642,-60.40027121280268,-69.43870153142986,-60.722972493878466,-72.37369148915171,-66.88119749195621,-158.01695932191876</td>\n",
" <td>-15.270410929420306,-27.453350620107514,-43.343499065683496,-41.50737623458657,-38.729269075765906,-43.740823999394834,-47.811348775724895,-39.95352552646714,-40.32243118212867,-35.90586187723031,-43.04035388824186,-33.76244729550682,1.3499443829536215,43.743951291249864,141.23579948572367,-28.018696371231332,49.3329196277017,-32.92968480556337,-37.82091957363441,-39.94325194788841,-49.386346222146415,-45.9522658156121,-37.233887342561125,-44.33228429648577,-33.859499865924036,-48.468920043307065,-39.5520664499651,-34.27235262288263,19.10615110194125,-26.542008131567737,130.03494579330095,166.1985356807009,-40.07836591289924,-44.039394152274824,-36.271535277646635,-51.21028563456098,-41.640579618357776,-51.18460949128726,-33.73971300615915,-36.61614548071734,-36.54068430712844,-45.00943197786171,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHHLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032157.pdb</td>\n",
" <td>SHIEEIFKELQRQNASNLREFVEEAWRRGEMSEELYKKMKKIV</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>-116.810</td>\n",
" <td>-243.867</td>\n",
" <td>21.962</td>\n",
" <td>204.181</td>\n",
" <td>-19.960</td>\n",
" <td>7.784</td>\n",
" <td>15.809</td>\n",
" <td>99.764</td>\n",
" <td>-105.959</td>\n",
" <td>-0.406</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.256</td>\n",
" <td>0.263</td>\n",
" <td>0.0,-60.41701762419428,-62.675160123107226,-70.10098078315754,-64.88399338823248,-69.65684202319159,-59.603332249509705,-64.4636382929172,-66.62407160551683,-68.01143557705103,-67.5380429291549,-73.80987013133573,-90.85796234297753,-69.94094913557602,-79.81313507238924,-94.81372016085895,-151.03575484796272,-65.63837798853463,-61.132050356335164,-63.47669383079445,-64.8374521706156,-58.34859948618523,-62.7030418816911,-66.88012705092636,-63.3090138766452,-66.67452906083983,-63.007572751935776,-90.96756434017595,51.691141337611676,-85.84308565212628,-74.69164821856461,65.50240324414355,-66.40320359459368,-65.30457235609691,-61.29426610974433,-65.92025799759239,-61.072022534417314,-59.010936427298354,-65.33854952588165,-62.64194002032411,-79.04483017805029,-70.18726567742983,-100.86203701342042</td>\n",
" <td>86.74988983051828,-35.43574203071179,-44.264025830871745,-40.264730299547274,-42.00316272215953,-43.08710072713454,-39.0367254939542,-41.58783205986145,-38.48062529563729,-34.43132537612126,-44.539483318275025,-40.968118195248366,105.54981797603179,-8.611823088569498,-12.731158985482608,188.41102386615586,117.68107209112323,-31.37530121369642,-41.74732274223366,-41.378424084585916,-45.07194621269743,-48.39564053902063,-39.383863140665454,-43.82211734772339,-38.140323684482496,-43.66674349744812,-36.128816745921185,8.596738620396577,44.30053003129075,149.508606440333,157.78686210264664,18.797113052684725,-21.577057865304276,-23.03697033590036,-45.3551632047944,-42.054520962554825,-39.58632838781002,-49.411982585802136,-38.503412389800715,-43.68088267743077,-35.701322994965885,-45.27853349148709,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032600.pdb</td>\n",
" <td>SEIEELAKRLLKDSRGDLRKLLEELQRNNQPNYQYVEHLLRKY</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>-121.064</td>\n",
" <td>-244.426</td>\n",
" <td>29.031</td>\n",
" <td>221.440</td>\n",
" <td>-17.579</td>\n",
" <td>6.851</td>\n",
" <td>14.169</td>\n",
" <td>107.873</td>\n",
" <td>-114.030</td>\n",
" <td>-0.525</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.256</td>\n",
" <td>0.287</td>\n",
" <td>0.0,-51.87091799368676,-64.6619591856215,-67.61696240054658,-68.15975572226549,-71.10474117445663,-62.46121453509447,-62.61452674806745,-67.89731257742798,-62.55881781233866,-68.5433416761228,-63.82896994855344,-85.80341139138933,56.238664341087066,-69.16292169749866,-69.21465142956552,-101.90658947165075,-60.46202918505737,-69.99063157805487,-65.54272678848187,-66.10689404058697,-60.979556832525034,-59.496566229136114,-66.39828838949327,-66.26009193783216,-65.49731637112234,-73.73102319912029,-73.8132209120679,-69.16042616655248,-86.52764131526719,-68.9760938350884,-77.84712300540829,-52.324042504390604,-60.13170929156555,-75.09475589765687,-57.594179672415535,-62.4475439910981,-61.26251605252609,-62.806547038625695,-63.269954706990006,-70.35241607797168,-64.62569574424363,66.20302967140654</td>\n",
" <td>158.8579996719137,-30.483444726833095,-32.24966634417741,-40.66226199826478,-41.84621438723774,-39.879622281899074,-42.469617160418764,-41.46906769299146,-39.146936718130824,-41.31672044189506,-41.86360955382718,-34.57961066131456,-1.7720340892158377,42.32001699982879,143.9117036570796,-15.216632004172949,5.741726509719791,-39.11750978556931,-33.1278924424146,-39.1048546699204,-39.857079619737355,-45.89146191163548,-39.08065643394893,-37.76813369687862,-36.68836023879931,-38.39662212288831,-37.722542188143855,113.4728854094521,-14.16973576661007,-9.542043474613491,147.16288667981735,114.8157539937289,-34.792142714240384,-40.00108152122428,-40.073499268994205,-43.91745967870654,-43.187365836602496,-44.357076094918824,-39.699446516716655,-37.37637887519146,-37.74235305659722,-40.76796426813538,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032649.pdb</td>\n",
" <td>TPLDEEARRAFQRNSSTAQELLKQLERDSRADPRVIEELRRLK</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>-118.053</td>\n",
" <td>-246.797</td>\n",
" <td>27.615</td>\n",
" <td>201.156</td>\n",
" <td>-16.486</td>\n",
" <td>7.773</td>\n",
" <td>13.151</td>\n",
" <td>99.955</td>\n",
" <td>-105.873</td>\n",
" <td>-0.279</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.186</td>\n",
" <td>0.261</td>\n",
" <td>0.0,-64.14140572246093,-63.00727802265437,-66.34861710895203,-58.86076460132219,-62.32542656366038,-65.59917619717174,-61.577051799155115,-62.86491434010714,-71.14408707352696,-63.27032769683299,-63.983364546726165,-88.98161138277746,-85.30664850078092,-67.0799340141522,-91.62369411037075,45.98458859119583,-66.60056501798285,-65.95521872473674,-63.19634522125229,-70.51178137209546,-67.67434342381853,-62.54734420907427,-65.32080118341315,-58.85400398229917,-66.83881907878119,-65.88550842831933,-72.89619674594299,72.84512983861967,-98.83603473442105,-117.27724688833295,-80.01600306074138,-67.078988418097,-58.355349657405085,-65.23554308562461,-60.641376535734004,-65.317036597681,-61.866853984711135,-58.54084510362138,-60.56779610872141,-69.87167144311813,-79.73645301805705,-49.25889852186145</td>\n",
" <td>25.578814731294123,-38.00816667494092,-38.18603508456187,-44.88949754838419,-47.05544184821509,-47.948703778124596,-45.48749695423693,-42.14243390476543,-37.75151528353585,-38.74388794487499,-36.112909419401255,-18.55808297235601,-1.707423120995015,178.80482024228107,-21.902334647745658,-1.8914604902347074,-123.96138219092286,-24.93882293050007,-29.618265586630912,-35.521979218319345,-40.681965387906416,-43.16171991450866,-44.16894954911073,-49.56610388582879,-39.46124767285913,-48.7936201972212,-32.65535564981697,-11.482352446127866,32.81110840004064,101.3670297959233,16.59891847155383,157.62533469511726,-37.63931354464049,-47.29777990400261,-42.491036399236435,-39.72059060432613,-41.17966549868329,-41.44066064018972,-50.92708679416365,-39.259762522794176,-36.37017595744394,-42.88985425838916,0.0</td>\n",
" <td>LHHHHHHHHHHHHLLLHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032655.pdb</td>\n",
" <td>SEEVKKILKELLKDKDKQEALKKWAKKAGLTDEHVRRLMKKIM</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>4 rows × 61 columns</p>\n",
"</div>"
],
"text/plain": [
" score fa_atr fa_rep fa_sol fa_intra_atr_xover4 \\\n",
"0 -115.348 -248.220 23.856 204.601 -19.273 \n",
"3 -116.810 -243.867 21.962 204.181 -19.960 \n",
"4 -121.064 -244.426 29.031 221.440 -17.579 \n",
"5 -118.053 -246.797 27.615 201.156 -16.486 \n",
"\n",
" fa_intra_rep_xover4 fa_intra_sol_xover4 lk_ball lk_ball_iso \\\n",
"0 8.070 17.321 99.223 -105.788 \n",
"3 7.784 15.809 99.764 -105.959 \n",
"4 6.851 14.169 107.873 -114.030 \n",
"5 7.773 13.151 99.955 -105.873 \n",
"\n",
" lk_ball_bridge ... nres_loop nres_sheet nres_total percent_core \\\n",
"0 -0.548 ... 11.0 0.0 43.0 0.256 \n",
"3 -0.406 ... 12.0 0.0 43.0 0.256 \n",
"4 -0.525 ... 12.0 0.0 43.0 0.256 \n",
"5 -0.279 ... 10.0 0.0 43.0 0.186 \n",
"\n",
" ss_mismatch_probability \\\n",
"0 0.302 \n",
"3 0.263 \n",
"4 0.287 \n",
"5 0.261 \n",
"\n",
" PHI \\\n",
"0 0.0,-66.61703742125313,-66.66204304586961,-64.2627475879439,-66.44318693590479,-65.27866717342658,-55.47564223945256,-60.55650264141377,-64.22576792577901,-64.02494083109615,-66.58947909877377,-63.445941933853376,-82.68156985834482,57.87345390963645,-67.16285450680006,-89.02662257634594,-89.709039177475,-77.08106174109108,-69.61483090932575,-65.15474559676444,-57.74476095018723,-63.16713300307241,-70.47268396961864,-68.51553046099137,-64.51032489503767,-63.496345967103316,-64.2865806993615,-68.00154858290396,101.8111743976923,-94.05687803119253,-83.05266794048505,-79.29649799606862,-63.645260272174184,-68.98036302624823,-70.56949099309887,-60.852820372348376,-65.40300963386642,-60.40027121280268,-69.43870153142986,-60.722972493878466,-72.37369148915171,-66.88119749195621,-158.01695932191876 \n",
"3 0.0,-60.41701762419428,-62.675160123107226,-70.10098078315754,-64.88399338823248,-69.65684202319159,-59.603332249509705,-64.4636382929172,-66.62407160551683,-68.01143557705103,-67.5380429291549,-73.80987013133573,-90.85796234297753,-69.94094913557602,-79.81313507238924,-94.81372016085895,-151.03575484796272,-65.63837798853463,-61.132050356335164,-63.47669383079445,-64.8374521706156,-58.34859948618523,-62.7030418816911,-66.88012705092636,-63.3090138766452,-66.67452906083983,-63.007572751935776,-90.96756434017595,51.691141337611676,-85.84308565212628,-74.69164821856461,65.50240324414355,-66.40320359459368,-65.30457235609691,-61.29426610974433,-65.92025799759239,-61.072022534417314,-59.010936427298354,-65.33854952588165,-62.64194002032411,-79.04483017805029,-70.18726567742983,-100.86203701342042 \n",
"4 0.0,-51.87091799368676,-64.6619591856215,-67.61696240054658,-68.15975572226549,-71.10474117445663,-62.46121453509447,-62.61452674806745,-67.89731257742798,-62.55881781233866,-68.5433416761228,-63.82896994855344,-85.80341139138933,56.238664341087066,-69.16292169749866,-69.21465142956552,-101.90658947165075,-60.46202918505737,-69.99063157805487,-65.54272678848187,-66.10689404058697,-60.979556832525034,-59.496566229136114,-66.39828838949327,-66.26009193783216,-65.49731637112234,-73.73102319912029,-73.8132209120679,-69.16042616655248,-86.52764131526719,-68.9760938350884,-77.84712300540829,-52.324042504390604,-60.13170929156555,-75.09475589765687,-57.594179672415535,-62.4475439910981,-61.26251605252609,-62.806547038625695,-63.269954706990006,-70.35241607797168,-64.62569574424363,66.20302967140654 \n",
"5 0.0,-64.14140572246093,-63.00727802265437,-66.34861710895203,-58.86076460132219,-62.32542656366038,-65.59917619717174,-61.577051799155115,-62.86491434010714,-71.14408707352696,-63.27032769683299,-63.983364546726165,-88.98161138277746,-85.30664850078092,-67.0799340141522,-91.62369411037075,45.98458859119583,-66.60056501798285,-65.95521872473674,-63.19634522125229,-70.51178137209546,-67.67434342381853,-62.54734420907427,-65.32080118341315,-58.85400398229917,-66.83881907878119,-65.88550842831933,-72.89619674594299,72.84512983861967,-98.83603473442105,-117.27724688833295,-80.01600306074138,-67.078988418097,-58.355349657405085,-65.23554308562461,-60.641376535734004,-65.317036597681,-61.866853984711135,-58.54084510362138,-60.56779610872141,-69.87167144311813,-79.73645301805705,-49.25889852186145 \n",
"\n",
" PSI \\\n",
"0 -15.270410929420306,-27.453350620107514,-43.343499065683496,-41.50737623458657,-38.729269075765906,-43.740823999394834,-47.811348775724895,-39.95352552646714,-40.32243118212867,-35.90586187723031,-43.04035388824186,-33.76244729550682,1.3499443829536215,43.743951291249864,141.23579948572367,-28.018696371231332,49.3329196277017,-32.92968480556337,-37.82091957363441,-39.94325194788841,-49.386346222146415,-45.9522658156121,-37.233887342561125,-44.33228429648577,-33.859499865924036,-48.468920043307065,-39.5520664499651,-34.27235262288263,19.10615110194125,-26.542008131567737,130.03494579330095,166.1985356807009,-40.07836591289924,-44.039394152274824,-36.271535277646635,-51.21028563456098,-41.640579618357776,-51.18460949128726,-33.73971300615915,-36.61614548071734,-36.54068430712844,-45.00943197786171,0.0 \n",
"3 86.74988983051828,-35.43574203071179,-44.264025830871745,-40.264730299547274,-42.00316272215953,-43.08710072713454,-39.0367254939542,-41.58783205986145,-38.48062529563729,-34.43132537612126,-44.539483318275025,-40.968118195248366,105.54981797603179,-8.611823088569498,-12.731158985482608,188.41102386615586,117.68107209112323,-31.37530121369642,-41.74732274223366,-41.378424084585916,-45.07194621269743,-48.39564053902063,-39.383863140665454,-43.82211734772339,-38.140323684482496,-43.66674349744812,-36.128816745921185,8.596738620396577,44.30053003129075,149.508606440333,157.78686210264664,18.797113052684725,-21.577057865304276,-23.03697033590036,-45.3551632047944,-42.054520962554825,-39.58632838781002,-49.411982585802136,-38.503412389800715,-43.68088267743077,-35.701322994965885,-45.27853349148709,0.0 \n",
"4 158.8579996719137,-30.483444726833095,-32.24966634417741,-40.66226199826478,-41.84621438723774,-39.879622281899074,-42.469617160418764,-41.46906769299146,-39.146936718130824,-41.31672044189506,-41.86360955382718,-34.57961066131456,-1.7720340892158377,42.32001699982879,143.9117036570796,-15.216632004172949,5.741726509719791,-39.11750978556931,-33.1278924424146,-39.1048546699204,-39.857079619737355,-45.89146191163548,-39.08065643394893,-37.76813369687862,-36.68836023879931,-38.39662212288831,-37.722542188143855,113.4728854094521,-14.16973576661007,-9.542043474613491,147.16288667981735,114.8157539937289,-34.792142714240384,-40.00108152122428,-40.073499268994205,-43.91745967870654,-43.187365836602496,-44.357076094918824,-39.699446516716655,-37.37637887519146,-37.74235305659722,-40.76796426813538,0.0 \n",
"5 25.578814731294123,-38.00816667494092,-38.18603508456187,-44.88949754838419,-47.05544184821509,-47.948703778124596,-45.48749695423693,-42.14243390476543,-37.75151528353585,-38.74388794487499,-36.112909419401255,-18.55808297235601,-1.707423120995015,178.80482024228107,-21.902334647745658,-1.8914604902347074,-123.96138219092286,-24.93882293050007,-29.618265586630912,-35.521979218319345,-40.681965387906416,-43.16171991450866,-44.16894954911073,-49.56610388582879,-39.46124767285913,-48.7936201972212,-32.65535564981697,-11.482352446127866,32.81110840004064,101.3670297959233,16.59891847155383,157.62533469511726,-37.63931354464049,-47.29777990400261,-42.491036399236435,-39.72059060432613,-41.17966549868329,-41.44066064018972,-50.92708679416365,-39.259762522794176,-36.37017595744394,-42.88985425838916,0.0 \n",
"\n",
" SSE \\\n",
"0 LHHHHHHHHHHHLLLLLHHHHHHHHHHHLLLLHHHHHHHHHHL \n",
"3 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"4 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"5 LHHHHHHHHHHHHLLLHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"\n",
" description \\\n",
"0 EHPC100_job_77_hhh_11.5.10.5.10_20201122032157.pdb \n",
"3 EHPC100_job_77_hhh_11.5.10.5.10_20201122032600.pdb \n",
"4 EHPC100_job_77_hhh_11.5.10.5.10_20201122032649.pdb \n",
"5 EHPC100_job_77_hhh_11.5.10.5.10_20201122032655.pdb \n",
"\n",
" sequence_A \n",
"0 SHIEEIFKELQRQNASNLREFVEEAWRRGEMSEELYKKMKKIV \n",
"3 SEIEELAKRLLKDSRGDLRKLLEELQRNNQPNYQYVEHLLRKY \n",
"4 TPLDEEARRAFQRNSSTAQELLKQLERDSRADPRVIEELRRLK \n",
"5 SEEVKKILKELLKDKDKQEALKKWAKKAGLTDEHVRRLMKKIM \n",
"\n",
"[4 rows x 61 columns]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 例句1:\n",
"df_selection1 = raw_df[(raw_df['score'] <= -115)]\n",
"df_selection1"
]
},
{
"cell_type": "markdown",
"id": "58af7119-7022-4089-b2db-bc17a8b143c5",
"metadata": {},
"source": [
"**选择语法2: df_selection = df[ (df['metrics1'] == value) & (df['metrics2'] >= value)]**"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "896d7235-b5f0-4ed8-983b-92eaaca959aa",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>score</th>\n",
" <th>fa_atr</th>\n",
" <th>fa_rep</th>\n",
" <th>fa_sol</th>\n",
" <th>fa_intra_atr_xover4</th>\n",
" <th>fa_intra_rep_xover4</th>\n",
" <th>fa_intra_sol_xover4</th>\n",
" <th>lk_ball</th>\n",
" <th>lk_ball_iso</th>\n",
" <th>lk_ball_bridge</th>\n",
" <th>...</th>\n",
" <th>nres_loop</th>\n",
" <th>nres_sheet</th>\n",
" <th>nres_total</th>\n",
" <th>percent_core</th>\n",
" <th>ss_mismatch_probability</th>\n",
" <th>PHI</th>\n",
" <th>PSI</th>\n",
" <th>SSE</th>\n",
" <th>description</th>\n",
" <th>sequence_A</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>-118.053</td>\n",
" <td>-246.797</td>\n",
" <td>27.615</td>\n",
" <td>201.156</td>\n",
" <td>-16.486</td>\n",
" <td>7.773</td>\n",
" <td>13.151</td>\n",
" <td>99.955</td>\n",
" <td>-105.873</td>\n",
" <td>-0.279</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.186</td>\n",
" <td>0.261</td>\n",
" <td>0.0,-64.14140572246093,-63.00727802265437,-66.34861710895203,-58.86076460132219,-62.32542656366038,-65.59917619717174,-61.577051799155115,-62.86491434010714,-71.14408707352696,-63.27032769683299,-63.983364546726165,-88.98161138277746,-85.30664850078092,-67.0799340141522,-91.62369411037075,45.98458859119583,-66.60056501798285,-65.95521872473674,-63.19634522125229,-70.51178137209546,-67.67434342381853,-62.54734420907427,-65.32080118341315,-58.85400398229917,-66.83881907878119,-65.88550842831933,-72.89619674594299,72.84512983861967,-98.83603473442105,-117.27724688833295,-80.01600306074138,-67.078988418097,-58.355349657405085,-65.23554308562461,-60.641376535734004,-65.317036597681,-61.866853984711135,-58.54084510362138,-60.56779610872141,-69.87167144311813,-79.73645301805705,-49.25889852186145</td>\n",
" <td>25.578814731294123,-38.00816667494092,-38.18603508456187,-44.88949754838419,-47.05544184821509,-47.948703778124596,-45.48749695423693,-42.14243390476543,-37.75151528353585,-38.74388794487499,-36.112909419401255,-18.55808297235601,-1.707423120995015,178.80482024228107,-21.902334647745658,-1.8914604902347074,-123.96138219092286,-24.93882293050007,-29.618265586630912,-35.521979218319345,-40.681965387906416,-43.16171991450866,-44.16894954911073,-49.56610388582879,-39.46124767285913,-48.7936201972212,-32.65535564981697,-11.482352446127866,32.81110840004064,101.3670297959233,16.59891847155383,157.62533469511726,-37.63931354464049,-47.29777990400261,-42.491036399236435,-39.72059060432613,-41.17966549868329,-41.44066064018972,-50.92708679416365,-39.259762522794176,-36.37017595744394,-42.88985425838916,0.0</td>\n",
" <td>LHHHHHHHHHHHHLLLHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032655.pdb</td>\n",
" <td>SEEVKKILKELLKDKDKQEALKKWAKKAGLTDEHVRRLMKKIM</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1 rows × 61 columns</p>\n",
"</div>"
],
"text/plain": [
" score fa_atr fa_rep fa_sol fa_intra_atr_xover4 \\\n",
"5 -118.053 -246.797 27.615 201.156 -16.486 \n",
"\n",
" fa_intra_rep_xover4 fa_intra_sol_xover4 lk_ball lk_ball_iso \\\n",
"5 7.773 13.151 99.955 -105.873 \n",
"\n",
" lk_ball_bridge ... nres_loop nres_sheet nres_total percent_core \\\n",
"5 -0.279 ... 10.0 0.0 43.0 0.186 \n",
"\n",
" ss_mismatch_probability \\\n",
"5 0.261 \n",
"\n",
" PHI \\\n",
"5 0.0,-64.14140572246093,-63.00727802265437,-66.34861710895203,-58.86076460132219,-62.32542656366038,-65.59917619717174,-61.577051799155115,-62.86491434010714,-71.14408707352696,-63.27032769683299,-63.983364546726165,-88.98161138277746,-85.30664850078092,-67.0799340141522,-91.62369411037075,45.98458859119583,-66.60056501798285,-65.95521872473674,-63.19634522125229,-70.51178137209546,-67.67434342381853,-62.54734420907427,-65.32080118341315,-58.85400398229917,-66.83881907878119,-65.88550842831933,-72.89619674594299,72.84512983861967,-98.83603473442105,-117.27724688833295,-80.01600306074138,-67.078988418097,-58.355349657405085,-65.23554308562461,-60.641376535734004,-65.317036597681,-61.866853984711135,-58.54084510362138,-60.56779610872141,-69.87167144311813,-79.73645301805705,-49.25889852186145 \n",
"\n",
" PSI \\\n",
"5 25.578814731294123,-38.00816667494092,-38.18603508456187,-44.88949754838419,-47.05544184821509,-47.948703778124596,-45.48749695423693,-42.14243390476543,-37.75151528353585,-38.74388794487499,-36.112909419401255,-18.55808297235601,-1.707423120995015,178.80482024228107,-21.902334647745658,-1.8914604902347074,-123.96138219092286,-24.93882293050007,-29.618265586630912,-35.521979218319345,-40.681965387906416,-43.16171991450866,-44.16894954911073,-49.56610388582879,-39.46124767285913,-48.7936201972212,-32.65535564981697,-11.482352446127866,32.81110840004064,101.3670297959233,16.59891847155383,157.62533469511726,-37.63931354464049,-47.29777990400261,-42.491036399236435,-39.72059060432613,-41.17966549868329,-41.44066064018972,-50.92708679416365,-39.259762522794176,-36.37017595744394,-42.88985425838916,0.0 \n",
"\n",
" SSE \\\n",
"5 LHHHHHHHHHHHHLLLHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"\n",
" description \\\n",
"5 EHPC100_job_77_hhh_11.5.10.5.10_20201122032655.pdb \n",
"\n",
" sequence_A \n",
"5 SEEVKKILKELLKDKDKQEALKKWAKKAGLTDEHVRRLMKKIM \n",
"\n",
"[1 rows x 61 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 例句2:\n",
"df_selection2 = raw_df[(raw_df['score'] <= -115) & (raw_df['percent_core'] <= 0.25)]\n",
"df_selection2"
]
},
{
"cell_type": "markdown",
"id": "ab0c23e7-2acf-42d7-ad3e-c4edd8232299",
"metadata": {},
"source": [
"**排序语法** df_selection = df.sort_values('metrics').head(value)\n",
"- sort_value: 从小往上排序\n",
"- head: 选取top排名\n",
"- tail: 选取尾部排名"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "30024e62-bf51-4fcb-939d-7d2a4962f74c",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>score</th>\n",
" <th>fa_atr</th>\n",
" <th>fa_rep</th>\n",
" <th>fa_sol</th>\n",
" <th>fa_intra_atr_xover4</th>\n",
" <th>fa_intra_rep_xover4</th>\n",
" <th>fa_intra_sol_xover4</th>\n",
" <th>lk_ball</th>\n",
" <th>lk_ball_iso</th>\n",
" <th>lk_ball_bridge</th>\n",
" <th>...</th>\n",
" <th>nres_loop</th>\n",
" <th>nres_sheet</th>\n",
" <th>nres_total</th>\n",
" <th>percent_core</th>\n",
" <th>ss_mismatch_probability</th>\n",
" <th>PHI</th>\n",
" <th>PSI</th>\n",
" <th>SSE</th>\n",
" <th>description</th>\n",
" <th>sequence_A</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>-121.064</td>\n",
" <td>-244.426</td>\n",
" <td>29.031</td>\n",
" <td>221.440</td>\n",
" <td>-17.579</td>\n",
" <td>6.851</td>\n",
" <td>14.169</td>\n",
" <td>107.873</td>\n",
" <td>-114.030</td>\n",
" <td>-0.525</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.256</td>\n",
" <td>0.287</td>\n",
" <td>0.0,-51.87091799368676,-64.6619591856215,-67.61696240054658,-68.15975572226549,-71.10474117445663,-62.46121453509447,-62.61452674806745,-67.89731257742798,-62.55881781233866,-68.5433416761228,-63.82896994855344,-85.80341139138933,56.238664341087066,-69.16292169749866,-69.21465142956552,-101.90658947165075,-60.46202918505737,-69.99063157805487,-65.54272678848187,-66.10689404058697,-60.979556832525034,-59.496566229136114,-66.39828838949327,-66.26009193783216,-65.49731637112234,-73.73102319912029,-73.8132209120679,-69.16042616655248,-86.52764131526719,-68.9760938350884,-77.84712300540829,-52.324042504390604,-60.13170929156555,-75.09475589765687,-57.594179672415535,-62.4475439910981,-61.26251605252609,-62.806547038625695,-63.269954706990006,-70.35241607797168,-64.62569574424363,66.20302967140654</td>\n",
" <td>158.8579996719137,-30.483444726833095,-32.24966634417741,-40.66226199826478,-41.84621438723774,-39.879622281899074,-42.469617160418764,-41.46906769299146,-39.146936718130824,-41.31672044189506,-41.86360955382718,-34.57961066131456,-1.7720340892158377,42.32001699982879,143.9117036570796,-15.216632004172949,5.741726509719791,-39.11750978556931,-33.1278924424146,-39.1048546699204,-39.857079619737355,-45.89146191163548,-39.08065643394893,-37.76813369687862,-36.68836023879931,-38.39662212288831,-37.722542188143855,113.4728854094521,-14.16973576661007,-9.542043474613491,147.16288667981735,114.8157539937289,-34.792142714240384,-40.00108152122428,-40.073499268994205,-43.91745967870654,-43.187365836602496,-44.357076094918824,-39.699446516716655,-37.37637887519146,-37.74235305659722,-40.76796426813538,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032649.pdb</td>\n",
" <td>TPLDEEARRAFQRNSSTAQELLKQLERDSRADPRVIEELRRLK</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>-118.053</td>\n",
" <td>-246.797</td>\n",
" <td>27.615</td>\n",
" <td>201.156</td>\n",
" <td>-16.486</td>\n",
" <td>7.773</td>\n",
" <td>13.151</td>\n",
" <td>99.955</td>\n",
" <td>-105.873</td>\n",
" <td>-0.279</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.186</td>\n",
" <td>0.261</td>\n",
" <td>0.0,-64.14140572246093,-63.00727802265437,-66.34861710895203,-58.86076460132219,-62.32542656366038,-65.59917619717174,-61.577051799155115,-62.86491434010714,-71.14408707352696,-63.27032769683299,-63.983364546726165,-88.98161138277746,-85.30664850078092,-67.0799340141522,-91.62369411037075,45.98458859119583,-66.60056501798285,-65.95521872473674,-63.19634522125229,-70.51178137209546,-67.67434342381853,-62.54734420907427,-65.32080118341315,-58.85400398229917,-66.83881907878119,-65.88550842831933,-72.89619674594299,72.84512983861967,-98.83603473442105,-117.27724688833295,-80.01600306074138,-67.078988418097,-58.355349657405085,-65.23554308562461,-60.641376535734004,-65.317036597681,-61.866853984711135,-58.54084510362138,-60.56779610872141,-69.87167144311813,-79.73645301805705,-49.25889852186145</td>\n",
" <td>25.578814731294123,-38.00816667494092,-38.18603508456187,-44.88949754838419,-47.05544184821509,-47.948703778124596,-45.48749695423693,-42.14243390476543,-37.75151528353585,-38.74388794487499,-36.112909419401255,-18.55808297235601,-1.707423120995015,178.80482024228107,-21.902334647745658,-1.8914604902347074,-123.96138219092286,-24.93882293050007,-29.618265586630912,-35.521979218319345,-40.681965387906416,-43.16171991450866,-44.16894954911073,-49.56610388582879,-39.46124767285913,-48.7936201972212,-32.65535564981697,-11.482352446127866,32.81110840004064,101.3670297959233,16.59891847155383,157.62533469511726,-37.63931354464049,-47.29777990400261,-42.491036399236435,-39.72059060432613,-41.17966549868329,-41.44066064018972,-50.92708679416365,-39.259762522794176,-36.37017595744394,-42.88985425838916,0.0</td>\n",
" <td>LHHHHHHHHHHHHLLLHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032655.pdb</td>\n",
" <td>SEEVKKILKELLKDKDKQEALKKWAKKAGLTDEHVRRLMKKIM</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>-116.810</td>\n",
" <td>-243.867</td>\n",
" <td>21.962</td>\n",
" <td>204.181</td>\n",
" <td>-19.960</td>\n",
" <td>7.784</td>\n",
" <td>15.809</td>\n",
" <td>99.764</td>\n",
" <td>-105.959</td>\n",
" <td>-0.406</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.256</td>\n",
" <td>0.263</td>\n",
" <td>0.0,-60.41701762419428,-62.675160123107226,-70.10098078315754,-64.88399338823248,-69.65684202319159,-59.603332249509705,-64.4636382929172,-66.62407160551683,-68.01143557705103,-67.5380429291549,-73.80987013133573,-90.85796234297753,-69.94094913557602,-79.81313507238924,-94.81372016085895,-151.03575484796272,-65.63837798853463,-61.132050356335164,-63.47669383079445,-64.8374521706156,-58.34859948618523,-62.7030418816911,-66.88012705092636,-63.3090138766452,-66.67452906083983,-63.007572751935776,-90.96756434017595,51.691141337611676,-85.84308565212628,-74.69164821856461,65.50240324414355,-66.40320359459368,-65.30457235609691,-61.29426610974433,-65.92025799759239,-61.072022534417314,-59.010936427298354,-65.33854952588165,-62.64194002032411,-79.04483017805029,-70.18726567742983,-100.86203701342042</td>\n",
" <td>86.74988983051828,-35.43574203071179,-44.264025830871745,-40.264730299547274,-42.00316272215953,-43.08710072713454,-39.0367254939542,-41.58783205986145,-38.48062529563729,-34.43132537612126,-44.539483318275025,-40.968118195248366,105.54981797603179,-8.611823088569498,-12.731158985482608,188.41102386615586,117.68107209112323,-31.37530121369642,-41.74732274223366,-41.378424084585916,-45.07194621269743,-48.39564053902063,-39.383863140665454,-43.82211734772339,-38.140323684482496,-43.66674349744812,-36.128816745921185,8.596738620396577,44.30053003129075,149.508606440333,157.78686210264664,18.797113052684725,-21.577057865304276,-23.03697033590036,-45.3551632047944,-42.054520962554825,-39.58632838781002,-49.411982585802136,-38.503412389800715,-43.68088267743077,-35.701322994965885,-45.27853349148709,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032600.pdb</td>\n",
" <td>SEIEELAKRLLKDSRGDLRKLLEELQRNNQPNYQYVEHLLRKY</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>-115.348</td>\n",
" <td>-248.220</td>\n",
" <td>23.856</td>\n",
" <td>204.601</td>\n",
" <td>-19.273</td>\n",
" <td>8.070</td>\n",
" <td>17.321</td>\n",
" <td>99.223</td>\n",
" <td>-105.788</td>\n",
" <td>-0.548</td>\n",
" <td>...</td>\n",
" <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.256</td>\n",
" <td>0.302</td>\n",
" <td>0.0,-66.61703742125313,-66.66204304586961,-64.2627475879439,-66.44318693590479,-65.27866717342658,-55.47564223945256,-60.55650264141377,-64.22576792577901,-64.02494083109615,-66.58947909877377,-63.445941933853376,-82.68156985834482,57.87345390963645,-67.16285450680006,-89.02662257634594,-89.709039177475,-77.08106174109108,-69.61483090932575,-65.15474559676444,-57.74476095018723,-63.16713300307241,-70.47268396961864,-68.51553046099137,-64.51032489503767,-63.496345967103316,-64.2865806993615,-68.00154858290396,101.8111743976923,-94.05687803119253,-83.05266794048505,-79.29649799606862,-63.645260272174184,-68.98036302624823,-70.56949099309887,-60.852820372348376,-65.40300963386642,-60.40027121280268,-69.43870153142986,-60.722972493878466,-72.37369148915171,-66.88119749195621,-158.01695932191876</td>\n",
" <td>-15.270410929420306,-27.453350620107514,-43.343499065683496,-41.50737623458657,-38.729269075765906,-43.740823999394834,-47.811348775724895,-39.95352552646714,-40.32243118212867,-35.90586187723031,-43.04035388824186,-33.76244729550682,1.3499443829536215,43.743951291249864,141.23579948572367,-28.018696371231332,49.3329196277017,-32.92968480556337,-37.82091957363441,-39.94325194788841,-49.386346222146415,-45.9522658156121,-37.233887342561125,-44.33228429648577,-33.859499865924036,-48.468920043307065,-39.5520664499651,-34.27235262288263,19.10615110194125,-26.542008131567737,130.03494579330095,166.1985356807009,-40.07836591289924,-44.039394152274824,-36.271535277646635,-51.21028563456098,-41.640579618357776,-51.18460949128726,-33.73971300615915,-36.61614548071734,-36.54068430712844,-45.00943197786171,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHHLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032157.pdb</td>\n",
" <td>SHIEEIFKELQRQNASNLREFVEEAWRRGEMSEELYKKMKKIV</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>-114.042</td>\n",
" <td>-232.848</td>\n",
" <td>25.142</td>\n",
" <td>220.845</td>\n",
" <td>-15.183</td>\n",
" <td>5.901</td>\n",
" <td>16.186</td>\n",
" <td>108.961</td>\n",
" <td>-109.326</td>\n",
" <td>-0.454</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.209</td>\n",
" <td>0.307</td>\n",
" <td>0.0,-51.48024869435859,-59.30778457208701,-70.60289584858495,-66.93899312498681,-66.40987252599236,-63.39382558395998,-68.04356223920345,-60.652432621310155,-61.89635497385933,-66.37577601401324,-59.33058313849102,-61.15876480231454,-92.94710455669764,-91.84443978530747,55.43377521064221,-93.5287567500433,-61.22058011758979,-62.6599744987428,-67.9175329438902,-60.01443546754284,-68.75214466312453,-65.62739940328859,-64.87353840147269,-66.29795444331049,-76.10226119083158,-64.29362577571187,-69.72607493706828,-83.862996791081,52.1357800088046,-77.40988220337988,-60.408693077595245,-61.86958068055051,-62.64951573690476,-69.13596403458016,-68.27742022206758,-61.49792138406971,-63.987110515267474,-61.724628545273895,-60.13465608934933,-68.32074089335299,-70.37578445473903,-77.69343976874832</td>\n",
" <td>104.35277004349973,-33.65241222333037,-38.1849871291387,-37.941728883025604,-42.30006626124337,-37.574514526073806,-39.9311708273235,-34.412428732484315,-41.697672561826515,-36.432959821076594,-47.81068520869051,-33.899854395478414,-30.250117653227385,-26.322558143473863,2.5274835592379366,41.845325944061216,84.410194385844,-40.774269149420036,-36.95627350673593,-43.41264520614228,-40.41748703627092,-42.770426428818716,-39.39398806304044,-39.46164868323077,-41.46422271617256,-36.54568408518662,-30.80083988264804,-19.210582850185627,64.44608830757603,43.668058673575395,161.29180496716185,146.2035885699289,-37.855518496395646,-39.54432856162265,-39.83097584997943,-45.23404029279285,-41.49031865761338,-43.20410430845697,-43.061475307962596,-39.412520277521644,-36.44286754001981,-36.33698118177661,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032943.pdb</td>\n",
" <td>SPEEFEKLKEKAKRENNEEVLRKLEEAAKNASEEEIKELKRQI</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>-111.605</td>\n",
" <td>-241.044</td>\n",
" <td>29.032</td>\n",
" <td>188.744</td>\n",
" <td>-17.360</td>\n",
" <td>7.708</td>\n",
" <td>13.119</td>\n",
" <td>95.556</td>\n",
" <td>-102.038</td>\n",
" <td>-0.335</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.186</td>\n",
" <td>0.335</td>\n",
" <td>0.0,-61.816026473581395,-60.87873427386993,-64.51024770761043,-63.10392233294926,-64.23482012032534,-64.680874248356,-60.66961314351576,-71.64463978334865,-63.24105965575744,-68.51336264921207,-87.40874592621869,52.85547148280792,-66.37135130048894,-159.28162388186527,-72.04898204335726,-91.23362478670171,-59.19866149020611,-70.40617266813769,-69.41468304560698,-64.35874575364411,-63.02918602763617,-61.24466252896299,-60.56573364691166,-66.43755382418904,-72.25860023352529,-66.28395963794418,-87.08050049367311,54.3695702401474,-99.04581680264154,-104.37947103434662,50.59528408561853,-68.21538426658607,-67.12484362281268,-66.47994182018405,-61.428431832870345,-66.59170804313756,-66.229930924608,-62.46970952055127,-62.91998644731243,-66.55357012253441,-64.34196161315106,104.4673399414333</td>\n",
" <td>115.99844970876589,-37.54483533122744,-43.79033726430612,-42.33399027064176,-39.63509633907059,-46.13586564515068,-39.62586069732336,-40.02115810065967,-43.597573295722896,-31.508669700612042,-13.493978955523716,-4.813174407090667,58.97031925478837,-22.27680664176824,177.99664528032784,-10.477330060180872,1.265725177997705,-27.14115361849895,-30.681013517424013,-32.61183114514764,-46.83765846926104,-42.68357484593599,-46.187160289435205,-47.060519436449425,-30.670942054519475,-51.41204082569745,-34.63503503189473,3.9149217565832197,43.50019502443131,-34.696627768614924,-22.945302628210737,-123.52096880255584,-21.947745499194514,-51.95328061082064,-35.67083657211858,-47.92772919130619,-42.27368173394641,-45.14734723283217,-41.7848860485962,-40.029111067566824,-38.54908540192382,-41.05432821808837,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032833.pdb</td>\n",
" <td>TEVEEILKRAAKKPDHKFREIFRELIERNLANELAKQILKELG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>-111.579</td>\n",
" <td>-239.381</td>\n",
" <td>25.203</td>\n",
" <td>188.087</td>\n",
" <td>-15.924</td>\n",
" <td>10.248</td>\n",
" <td>12.333</td>\n",
" <td>102.075</td>\n",
" <td>-103.115</td>\n",
" <td>-0.478</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.349</td>\n",
" <td>0.267</td>\n",
" <td>0.0,-64.3519467853161,-63.418086930463815,-65.56673176992616,-62.937028353387916,-64.84600479810152,-60.46768276861964,-64.99142204050862,-59.049636840404,-63.18631177283314,-58.85645964636771,-64.35015465192834,-97.54005666361657,-52.86373021885636,100.75694461007625,-71.36374889851632,-72.82703291356235,-61.32485242033397,-64.54206754213402,-64.50010229369639,-64.6732629210743,-57.12234914566474,-61.09981426241765,-64.47279134871839,-62.10672300145529,-66.14427121037937,-66.00261452846901,-68.06192326827916,-69.68543652922278,91.85104777792408,-81.18992895090004,-109.41994732519733,-61.87846575537298,-61.974640237969076,-65.06401434230709,-62.69618238650833,-58.63360441093861,-57.32725924615807,-58.089019700406446,-63.92901632178451,-78.36838629831337,-67.86420289769583,-89.24805136111644</td>\n",
" <td>135.29049056466624,-44.3565372650317,-39.44213431209112,-39.813270032614355,-44.34201877339164,-43.534511504796356,-41.92051977907319,-40.62558720133791,-44.1940958663573,-43.6038936284092,-48.88955537867602,-34.80524214505524,18.73689667446474,134.23485792624905,-14.193883138670655,156.87051590470855,163.20839740726998,-37.125238128619756,-41.06313289927764,-43.28759722099899,-41.801725412414605,-48.76218444761745,-43.068821843732735,-40.55155304541878,-38.54489931440367,-36.85904541676932,-35.12446892323645,125.3914543230007,145.65503193618588,-8.208151559667714,126.69306929503253,-174.3708053732862,-38.44431561898169,-46.07858141526455,-37.39032838784732,-45.66377989383726,-40.39137357798858,-48.76846703504008,-38.57259568994066,-33.276471026442586,-34.93916532435953,-38.69601513404585,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032313.pdb</td>\n",
" <td>SVEEIVKKMIKKASGASREQIKKLAEKIPGVDERVIKMAERLI</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>-107.145</td>\n",
" <td>-245.738</td>\n",
" <td>23.800</td>\n",
" <td>223.426</td>\n",
" <td>-17.090</td>\n",
" <td>6.658</td>\n",
" <td>15.022</td>\n",
" <td>112.316</td>\n",
" <td>-111.729</td>\n",
" <td>-0.325</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.163</td>\n",
" <td>0.281</td>\n",
" <td>0.0,-65.67988795578451,-63.810354341309825,-66.02631367384691,-62.52707616603043,-63.14156238435789,-57.622158107998445,-67.00528688950165,-62.262488202654865,-56.67415089889363,-75.70994045838138,-57.82533593806999,-59.59509360861571,-107.55320642586815,-158.6619894605935,-60.21877818562311,-77.72389500225836,-66.73588150093684,-58.28927125331593,-63.51405894541939,-64.2112927310839,-69.99061840234413,-63.167751675530006,-61.341939555083336,-62.479825943586405,-64.86060162547874,-66.09188262454094,-74.38667346389701,76.63920879829728,-63.18352223795158,-159.69209623128305,-71.53124764266492,-68.15041659663433,-67.36767207528698,-69.8458102064516,-66.3839607671189,-61.57783095416169,-62.74107723116324,-63.47241380519334,-64.46457303636892,-76.13233073851131,-73.17889096830872,-78.7192332015827</td>\n",
" <td>169.09647837628498,-38.48610986516323,-37.445295306603136,-40.034129454495364,-41.834791793462465,-41.06188007692538,-51.58163334308966,-34.94163317775788,-44.66379813137101,-38.533143540345364,-45.42500838170542,-36.897986758152186,-23.396858595182916,-35.92803772141464,95.48536968252863,-25.673874565266583,-37.54831860695169,-38.97888818191979,-41.1154614010036,-41.7877290810818,-41.08227751004935,-32.58560008045613,-40.321241605636544,-43.801834336452735,-41.654211107244144,-48.31989573685587,-34.35399011170958,-7.225226659148367,25.0225457801468,-48.73117370127896,160.46243708095133,162.4646737504978,-26.420342328218975,-42.254404777018586,-41.76209955541568,-38.34376695162168,-43.453214025532574,-41.121342661767876,-38.10191093818169,-37.77791301457546,-35.21126264156708,-38.34464722698572,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032428.pdb</td>\n",
" <td>SEEEKEFLKRVKDKDPELAKKMQKLLENGYASIEQLQKQLEKR</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>-104.212</td>\n",
" <td>-233.769</td>\n",
" <td>22.690</td>\n",
" <td>224.682</td>\n",
" <td>-19.032</td>\n",
" <td>7.830</td>\n",
" <td>17.118</td>\n",
" <td>105.340</td>\n",
" <td>-107.677</td>\n",
" <td>-0.330</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.163</td>\n",
" <td>0.334</td>\n",
" <td>0.0,-54.55716758878108,-60.24671925133987,-60.96339544115801,-60.4675875865348,-65.77193234772929,-63.55634861036867,-65.2463797731284,-62.50391995000622,-63.22152662835138,-64.12082980279126,-60.019510478858145,-83.12438915418637,58.74835726165174,-96.7981056833779,-137.85384467753593,-66.3124475793145,-66.15849001928508,-59.9076502864336,-64.3169028034401,-76.79331549477475,-66.36850353169604,-68.16591033137897,-64.04728039289955,-61.70678618814965,-63.609803242619186,-65.94857491469905,-82.15981537380956,54.80929852805371,63.573395064002774,-73.04058179696266,-100.49654188783236,-59.99847576735693,-64.14260214702321,-64.89686513161355,-68.97927149490033,-58.905041199309586,-63.52492336847542,-60.74298066505938,-71.18874876998304,-63.4746892769842,-59.87672154381264,104.91421937347923</td>\n",
" <td>162.466560504179,-34.371169669132804,-48.198721119432335,-44.746258974755015,-41.58444350400652,-44.175525554528924,-40.431811999497974,-45.50860646436511,-39.02126456509508,-39.202897049339164,-46.86641819406775,-35.31366694139388,1.0583826778749952,42.434925560250385,-9.48288859027419,152.04987206388313,150.80409295854002,-14.525527849873443,-29.266363669273485,-30.398676915398468,-35.677547225261804,-39.83633257978659,-37.358933341260766,-45.122994051902474,-45.49768997278267,-50.004448638381334,-34.320891167795246,-1.2759854872937306,44.098749022055536,19.181033426575183,-38.37219849376893,15.606161452197789,-38.24378966839477,-39.36839166390034,-41.2411702671999,-45.793755546932815,-43.14053151466278,-43.815162619659574,-39.80814871403034,-36.98126239102244,-42.777828401291885,-41.08526266485512,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032822.pdb</td>\n",
" <td>DPKTEELIKQYQRKERSEEMMEELRKKANNRNKEMIKKARKDG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>-99.049</td>\n",
" <td>-240.205</td>\n",
" <td>23.017</td>\n",
" <td>218.837</td>\n",
" <td>-17.455</td>\n",
" <td>6.648</td>\n",
" <td>16.604</td>\n",
" <td>109.615</td>\n",
" <td>-109.807</td>\n",
" <td>-0.414</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.279</td>\n",
" <td>0.275</td>\n",
" <td>0.0,-64.0487359118943,-69.69104607827998,-61.32384411097726,-62.316170158356016,-60.94259923238814,-63.14942364428239,-62.10751237754549,-62.23635579091567,-67.79393522723588,-67.30264243643552,-75.58324111263224,-70.17633470937064,-72.37674482389288,-96.35816108479204,-88.32445184168974,-128.1497200942804,-64.11788841385271,-58.5515355621417,-64.59986106202211,-62.604239688873925,-62.35188106160262,-61.03252802587855,-66.81474002031639,-65.98858419729268,-79.24528850470969,-67.7229091745369,-101.72399468575834,-77.61431535481827,-64.53081199307239,-57.304811091192086,-54.71748629994325,-67.85111585098318,-83.14762414240734,-66.18775915739461,-63.62534372613044,-60.39420097192371,-56.75266710610848,-65.19042031492202,-59.02636279350242,-64.9602074846891,-67.76554881186445,-53.10341749547002</td>\n",
" <td>179.99932169695205,-37.016486662352094,-41.47630395662156,-40.03030656890961,-39.56292271313878,-43.38610646529196,-40.96371913397039,-44.21868303816494,-40.58901651385193,-40.99133170661388,-37.51278143834419,-43.982415527758825,139.10487165398837,-10.323620520779322,-4.799437836543055,156.37941986362603,159.37891113067573,-31.029282653163424,-43.24960993315491,-40.19749163258058,-45.053573671948094,-40.1418523683894,-40.0845007678448,-39.738177637595804,-35.183828082290965,-37.66835459458902,-44.69273313376687,144.888762214947,-12.15119120213544,113.68605589268499,-23.632059907604464,-33.84497063726042,-34.23792356033179,-32.29024893858771,-37.36357065360846,-45.28548026384168,-40.55544530300989,-51.823455234278185,-37.526876634262045,-48.16444199700557,-38.89715626752906,-37.274510720964294,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLHHHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032955.pdb</td>\n",
" <td>SEIEERLEKLARSETGTEEQMRQLAKKYEDPSAREFLKRYREK</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>10 rows × 61 columns</p>\n",
"</div>"
],
"text/plain": [
" score fa_atr fa_rep fa_sol fa_intra_atr_xover4 \\\n",
"4 -121.064 -244.426 29.031 221.440 -17.579 \n",
"5 -118.053 -246.797 27.615 201.156 -16.486 \n",
"3 -116.810 -243.867 21.962 204.181 -19.960 \n",
"0 -115.348 -248.220 23.856 204.601 -19.273 \n",
"8 -114.042 -232.848 25.142 220.845 -15.183 \n",
"7 -111.605 -241.044 29.032 188.744 -17.360 \n",
"1 -111.579 -239.381 25.203 188.087 -15.924 \n",
"2 -107.145 -245.738 23.800 223.426 -17.090 \n",
"6 -104.212 -233.769 22.690 224.682 -19.032 \n",
"9 -99.049 -240.205 23.017 218.837 -17.455 \n",
"\n",
" fa_intra_rep_xover4 fa_intra_sol_xover4 lk_ball lk_ball_iso \\\n",
"4 6.851 14.169 107.873 -114.030 \n",
"5 7.773 13.151 99.955 -105.873 \n",
"3 7.784 15.809 99.764 -105.959 \n",
"0 8.070 17.321 99.223 -105.788 \n",
"8 5.901 16.186 108.961 -109.326 \n",
"7 7.708 13.119 95.556 -102.038 \n",
"1 10.248 12.333 102.075 -103.115 \n",
"2 6.658 15.022 112.316 -111.729 \n",
"6 7.830 17.118 105.340 -107.677 \n",
"9 6.648 16.604 109.615 -109.807 \n",
"\n",
" lk_ball_bridge ... nres_loop nres_sheet nres_total percent_core \\\n",
"4 -0.525 ... 12.0 0.0 43.0 0.256 \n",
"5 -0.279 ... 10.0 0.0 43.0 0.186 \n",
"3 -0.406 ... 12.0 0.0 43.0 0.256 \n",
"0 -0.548 ... 11.0 0.0 43.0 0.256 \n",
"8 -0.454 ... 12.0 0.0 43.0 0.209 \n",
"7 -0.335 ... 10.0 0.0 43.0 0.186 \n",
"1 -0.478 ... 12.0 0.0 43.0 0.349 \n",
"2 -0.325 ... 10.0 0.0 43.0 0.163 \n",
"6 -0.330 ... 12.0 0.0 43.0 0.163 \n",
"9 -0.414 ... 10.0 0.0 43.0 0.279 \n",
"\n",
" ss_mismatch_probability \\\n",
"4 0.287 \n",
"5 0.261 \n",
"3 0.263 \n",
"0 0.302 \n",
"8 0.307 \n",
"7 0.335 \n",
"1 0.267 \n",
"2 0.281 \n",
"6 0.334 \n",
"9 0.275 \n",
"\n",
" PHI \\\n",
"4 0.0,-51.87091799368676,-64.6619591856215,-67.61696240054658,-68.15975572226549,-71.10474117445663,-62.46121453509447,-62.61452674806745,-67.89731257742798,-62.55881781233866,-68.5433416761228,-63.82896994855344,-85.80341139138933,56.238664341087066,-69.16292169749866,-69.21465142956552,-101.90658947165075,-60.46202918505737,-69.99063157805487,-65.54272678848187,-66.10689404058697,-60.979556832525034,-59.496566229136114,-66.39828838949327,-66.26009193783216,-65.49731637112234,-73.73102319912029,-73.8132209120679,-69.16042616655248,-86.52764131526719,-68.9760938350884,-77.84712300540829,-52.324042504390604,-60.13170929156555,-75.09475589765687,-57.594179672415535,-62.4475439910981,-61.26251605252609,-62.806547038625695,-63.269954706990006,-70.35241607797168,-64.62569574424363,66.20302967140654 \n",
"5 0.0,-64.14140572246093,-63.00727802265437,-66.34861710895203,-58.86076460132219,-62.32542656366038,-65.59917619717174,-61.577051799155115,-62.86491434010714,-71.14408707352696,-63.27032769683299,-63.983364546726165,-88.98161138277746,-85.30664850078092,-67.0799340141522,-91.62369411037075,45.98458859119583,-66.60056501798285,-65.95521872473674,-63.19634522125229,-70.51178137209546,-67.67434342381853,-62.54734420907427,-65.32080118341315,-58.85400398229917,-66.83881907878119,-65.88550842831933,-72.89619674594299,72.84512983861967,-98.83603473442105,-117.27724688833295,-80.01600306074138,-67.078988418097,-58.355349657405085,-65.23554308562461,-60.641376535734004,-65.317036597681,-61.866853984711135,-58.54084510362138,-60.56779610872141,-69.87167144311813,-79.73645301805705,-49.25889852186145 \n",
"3 0.0,-60.41701762419428,-62.675160123107226,-70.10098078315754,-64.88399338823248,-69.65684202319159,-59.603332249509705,-64.4636382929172,-66.62407160551683,-68.01143557705103,-67.5380429291549,-73.80987013133573,-90.85796234297753,-69.94094913557602,-79.81313507238924,-94.81372016085895,-151.03575484796272,-65.63837798853463,-61.132050356335164,-63.47669383079445,-64.8374521706156,-58.34859948618523,-62.7030418816911,-66.88012705092636,-63.3090138766452,-66.67452906083983,-63.007572751935776,-90.96756434017595,51.691141337611676,-85.84308565212628,-74.69164821856461,65.50240324414355,-66.40320359459368,-65.30457235609691,-61.29426610974433,-65.92025799759239,-61.072022534417314,-59.010936427298354,-65.33854952588165,-62.64194002032411,-79.04483017805029,-70.18726567742983,-100.86203701342042 \n",
"0 0.0,-66.61703742125313,-66.66204304586961,-64.2627475879439,-66.44318693590479,-65.27866717342658,-55.47564223945256,-60.55650264141377,-64.22576792577901,-64.02494083109615,-66.58947909877377,-63.445941933853376,-82.68156985834482,57.87345390963645,-67.16285450680006,-89.02662257634594,-89.709039177475,-77.08106174109108,-69.61483090932575,-65.15474559676444,-57.74476095018723,-63.16713300307241,-70.47268396961864,-68.51553046099137,-64.51032489503767,-63.496345967103316,-64.2865806993615,-68.00154858290396,101.8111743976923,-94.05687803119253,-83.05266794048505,-79.29649799606862,-63.645260272174184,-68.98036302624823,-70.56949099309887,-60.852820372348376,-65.40300963386642,-60.40027121280268,-69.43870153142986,-60.722972493878466,-72.37369148915171,-66.88119749195621,-158.01695932191876 \n",
"8 0.0,-51.48024869435859,-59.30778457208701,-70.60289584858495,-66.93899312498681,-66.40987252599236,-63.39382558395998,-68.04356223920345,-60.652432621310155,-61.89635497385933,-66.37577601401324,-59.33058313849102,-61.15876480231454,-92.94710455669764,-91.84443978530747,55.43377521064221,-93.5287567500433,-61.22058011758979,-62.6599744987428,-67.9175329438902,-60.01443546754284,-68.75214466312453,-65.62739940328859,-64.87353840147269,-66.29795444331049,-76.10226119083158,-64.29362577571187,-69.72607493706828,-83.862996791081,52.1357800088046,-77.40988220337988,-60.408693077595245,-61.86958068055051,-62.64951573690476,-69.13596403458016,-68.27742022206758,-61.49792138406971,-63.987110515267474,-61.724628545273895,-60.13465608934933,-68.32074089335299,-70.37578445473903,-77.69343976874832 \n",
"7 0.0,-61.816026473581395,-60.87873427386993,-64.51024770761043,-63.10392233294926,-64.23482012032534,-64.680874248356,-60.66961314351576,-71.64463978334865,-63.24105965575744,-68.51336264921207,-87.40874592621869,52.85547148280792,-66.37135130048894,-159.28162388186527,-72.04898204335726,-91.23362478670171,-59.19866149020611,-70.40617266813769,-69.41468304560698,-64.35874575364411,-63.02918602763617,-61.24466252896299,-60.56573364691166,-66.43755382418904,-72.25860023352529,-66.28395963794418,-87.08050049367311,54.3695702401474,-99.04581680264154,-104.37947103434662,50.59528408561853,-68.21538426658607,-67.12484362281268,-66.47994182018405,-61.428431832870345,-66.59170804313756,-66.229930924608,-62.46970952055127,-62.91998644731243,-66.55357012253441,-64.34196161315106,104.4673399414333 \n",
"1 0.0,-64.3519467853161,-63.418086930463815,-65.56673176992616,-62.937028353387916,-64.84600479810152,-60.46768276861964,-64.99142204050862,-59.049636840404,-63.18631177283314,-58.85645964636771,-64.35015465192834,-97.54005666361657,-52.86373021885636,100.75694461007625,-71.36374889851632,-72.82703291356235,-61.32485242033397,-64.54206754213402,-64.50010229369639,-64.6732629210743,-57.12234914566474,-61.09981426241765,-64.47279134871839,-62.10672300145529,-66.14427121037937,-66.00261452846901,-68.06192326827916,-69.68543652922278,91.85104777792408,-81.18992895090004,-109.41994732519733,-61.87846575537298,-61.974640237969076,-65.06401434230709,-62.69618238650833,-58.63360441093861,-57.32725924615807,-58.089019700406446,-63.92901632178451,-78.36838629831337,-67.86420289769583,-89.24805136111644 \n",
"2 0.0,-65.67988795578451,-63.810354341309825,-66.02631367384691,-62.52707616603043,-63.14156238435789,-57.622158107998445,-67.00528688950165,-62.262488202654865,-56.67415089889363,-75.70994045838138,-57.82533593806999,-59.59509360861571,-107.55320642586815,-158.6619894605935,-60.21877818562311,-77.72389500225836,-66.73588150093684,-58.28927125331593,-63.51405894541939,-64.2112927310839,-69.99061840234413,-63.167751675530006,-61.341939555083336,-62.479825943586405,-64.86060162547874,-66.09188262454094,-74.38667346389701,76.63920879829728,-63.18352223795158,-159.69209623128305,-71.53124764266492,-68.15041659663433,-67.36767207528698,-69.8458102064516,-66.3839607671189,-61.57783095416169,-62.74107723116324,-63.47241380519334,-64.46457303636892,-76.13233073851131,-73.17889096830872,-78.7192332015827 \n",
"6 0.0,-54.55716758878108,-60.24671925133987,-60.96339544115801,-60.4675875865348,-65.77193234772929,-63.55634861036867,-65.2463797731284,-62.50391995000622,-63.22152662835138,-64.12082980279126,-60.019510478858145,-83.12438915418637,58.74835726165174,-96.7981056833779,-137.85384467753593,-66.3124475793145,-66.15849001928508,-59.9076502864336,-64.3169028034401,-76.79331549477475,-66.36850353169604,-68.16591033137897,-64.04728039289955,-61.70678618814965,-63.609803242619186,-65.94857491469905,-82.15981537380956,54.80929852805371,63.573395064002774,-73.04058179696266,-100.49654188783236,-59.99847576735693,-64.14260214702321,-64.89686513161355,-68.97927149490033,-58.905041199309586,-63.52492336847542,-60.74298066505938,-71.18874876998304,-63.4746892769842,-59.87672154381264,104.91421937347923 \n",
"9 0.0,-64.0487359118943,-69.69104607827998,-61.32384411097726,-62.316170158356016,-60.94259923238814,-63.14942364428239,-62.10751237754549,-62.23635579091567,-67.79393522723588,-67.30264243643552,-75.58324111263224,-70.17633470937064,-72.37674482389288,-96.35816108479204,-88.32445184168974,-128.1497200942804,-64.11788841385271,-58.5515355621417,-64.59986106202211,-62.604239688873925,-62.35188106160262,-61.03252802587855,-66.81474002031639,-65.98858419729268,-79.24528850470969,-67.7229091745369,-101.72399468575834,-77.61431535481827,-64.53081199307239,-57.304811091192086,-54.71748629994325,-67.85111585098318,-83.14762414240734,-66.18775915739461,-63.62534372613044,-60.39420097192371,-56.75266710610848,-65.19042031492202,-59.02636279350242,-64.9602074846891,-67.76554881186445,-53.10341749547002 \n",
"\n",
" PSI \\\n",
"4 158.8579996719137,-30.483444726833095,-32.24966634417741,-40.66226199826478,-41.84621438723774,-39.879622281899074,-42.469617160418764,-41.46906769299146,-39.146936718130824,-41.31672044189506,-41.86360955382718,-34.57961066131456,-1.7720340892158377,42.32001699982879,143.9117036570796,-15.216632004172949,5.741726509719791,-39.11750978556931,-33.1278924424146,-39.1048546699204,-39.857079619737355,-45.89146191163548,-39.08065643394893,-37.76813369687862,-36.68836023879931,-38.39662212288831,-37.722542188143855,113.4728854094521,-14.16973576661007,-9.542043474613491,147.16288667981735,114.8157539937289,-34.792142714240384,-40.00108152122428,-40.073499268994205,-43.91745967870654,-43.187365836602496,-44.357076094918824,-39.699446516716655,-37.37637887519146,-37.74235305659722,-40.76796426813538,0.0 \n",
"5 25.578814731294123,-38.00816667494092,-38.18603508456187,-44.88949754838419,-47.05544184821509,-47.948703778124596,-45.48749695423693,-42.14243390476543,-37.75151528353585,-38.74388794487499,-36.112909419401255,-18.55808297235601,-1.707423120995015,178.80482024228107,-21.902334647745658,-1.8914604902347074,-123.96138219092286,-24.93882293050007,-29.618265586630912,-35.521979218319345,-40.681965387906416,-43.16171991450866,-44.16894954911073,-49.56610388582879,-39.46124767285913,-48.7936201972212,-32.65535564981697,-11.482352446127866,32.81110840004064,101.3670297959233,16.59891847155383,157.62533469511726,-37.63931354464049,-47.29777990400261,-42.491036399236435,-39.72059060432613,-41.17966549868329,-41.44066064018972,-50.92708679416365,-39.259762522794176,-36.37017595744394,-42.88985425838916,0.0 \n",
"3 86.74988983051828,-35.43574203071179,-44.264025830871745,-40.264730299547274,-42.00316272215953,-43.08710072713454,-39.0367254939542,-41.58783205986145,-38.48062529563729,-34.43132537612126,-44.539483318275025,-40.968118195248366,105.54981797603179,-8.611823088569498,-12.731158985482608,188.41102386615586,117.68107209112323,-31.37530121369642,-41.74732274223366,-41.378424084585916,-45.07194621269743,-48.39564053902063,-39.383863140665454,-43.82211734772339,-38.140323684482496,-43.66674349744812,-36.128816745921185,8.596738620396577,44.30053003129075,149.508606440333,157.78686210264664,18.797113052684725,-21.577057865304276,-23.03697033590036,-45.3551632047944,-42.054520962554825,-39.58632838781002,-49.411982585802136,-38.503412389800715,-43.68088267743077,-35.701322994965885,-45.27853349148709,0.0 \n",
"0 -15.270410929420306,-27.453350620107514,-43.343499065683496,-41.50737623458657,-38.729269075765906,-43.740823999394834,-47.811348775724895,-39.95352552646714,-40.32243118212867,-35.90586187723031,-43.04035388824186,-33.76244729550682,1.3499443829536215,43.743951291249864,141.23579948572367,-28.018696371231332,49.3329196277017,-32.92968480556337,-37.82091957363441,-39.94325194788841,-49.386346222146415,-45.9522658156121,-37.233887342561125,-44.33228429648577,-33.859499865924036,-48.468920043307065,-39.5520664499651,-34.27235262288263,19.10615110194125,-26.542008131567737,130.03494579330095,166.1985356807009,-40.07836591289924,-44.039394152274824,-36.271535277646635,-51.21028563456098,-41.640579618357776,-51.18460949128726,-33.73971300615915,-36.61614548071734,-36.54068430712844,-45.00943197786171,0.0 \n",
"8 104.35277004349973,-33.65241222333037,-38.1849871291387,-37.941728883025604,-42.30006626124337,-37.574514526073806,-39.9311708273235,-34.412428732484315,-41.697672561826515,-36.432959821076594,-47.81068520869051,-33.899854395478414,-30.250117653227385,-26.322558143473863,2.5274835592379366,41.845325944061216,84.410194385844,-40.774269149420036,-36.95627350673593,-43.41264520614228,-40.41748703627092,-42.770426428818716,-39.39398806304044,-39.46164868323077,-41.46422271617256,-36.54568408518662,-30.80083988264804,-19.210582850185627,64.44608830757603,43.668058673575395,161.29180496716185,146.2035885699289,-37.855518496395646,-39.54432856162265,-39.83097584997943,-45.23404029279285,-41.49031865761338,-43.20410430845697,-43.061475307962596,-39.412520277521644,-36.44286754001981,-36.33698118177661,0.0 \n",
"7 115.99844970876589,-37.54483533122744,-43.79033726430612,-42.33399027064176,-39.63509633907059,-46.13586564515068,-39.62586069732336,-40.02115810065967,-43.597573295722896,-31.508669700612042,-13.493978955523716,-4.813174407090667,58.97031925478837,-22.27680664176824,177.99664528032784,-10.477330060180872,1.265725177997705,-27.14115361849895,-30.681013517424013,-32.61183114514764,-46.83765846926104,-42.68357484593599,-46.187160289435205,-47.060519436449425,-30.670942054519475,-51.41204082569745,-34.63503503189473,3.9149217565832197,43.50019502443131,-34.696627768614924,-22.945302628210737,-123.52096880255584,-21.947745499194514,-51.95328061082064,-35.67083657211858,-47.92772919130619,-42.27368173394641,-45.14734723283217,-41.7848860485962,-40.029111067566824,-38.54908540192382,-41.05432821808837,0.0 \n",
"1 135.29049056466624,-44.3565372650317,-39.44213431209112,-39.813270032614355,-44.34201877339164,-43.534511504796356,-41.92051977907319,-40.62558720133791,-44.1940958663573,-43.6038936284092,-48.88955537867602,-34.80524214505524,18.73689667446474,134.23485792624905,-14.193883138670655,156.87051590470855,163.20839740726998,-37.125238128619756,-41.06313289927764,-43.28759722099899,-41.801725412414605,-48.76218444761745,-43.068821843732735,-40.55155304541878,-38.54489931440367,-36.85904541676932,-35.12446892323645,125.3914543230007,145.65503193618588,-8.208151559667714,126.69306929503253,-174.3708053732862,-38.44431561898169,-46.07858141526455,-37.39032838784732,-45.66377989383726,-40.39137357798858,-48.76846703504008,-38.57259568994066,-33.276471026442586,-34.93916532435953,-38.69601513404585,0.0 \n",
"2 169.09647837628498,-38.48610986516323,-37.445295306603136,-40.034129454495364,-41.834791793462465,-41.06188007692538,-51.58163334308966,-34.94163317775788,-44.66379813137101,-38.533143540345364,-45.42500838170542,-36.897986758152186,-23.396858595182916,-35.92803772141464,95.48536968252863,-25.673874565266583,-37.54831860695169,-38.97888818191979,-41.1154614010036,-41.7877290810818,-41.08227751004935,-32.58560008045613,-40.321241605636544,-43.801834336452735,-41.654211107244144,-48.31989573685587,-34.35399011170958,-7.225226659148367,25.0225457801468,-48.73117370127896,160.46243708095133,162.4646737504978,-26.420342328218975,-42.254404777018586,-41.76209955541568,-38.34376695162168,-43.453214025532574,-41.121342661767876,-38.10191093818169,-37.77791301457546,-35.21126264156708,-38.34464722698572,0.0 \n",
"6 162.466560504179,-34.371169669132804,-48.198721119432335,-44.746258974755015,-41.58444350400652,-44.175525554528924,-40.431811999497974,-45.50860646436511,-39.02126456509508,-39.202897049339164,-46.86641819406775,-35.31366694139388,1.0583826778749952,42.434925560250385,-9.48288859027419,152.04987206388313,150.80409295854002,-14.525527849873443,-29.266363669273485,-30.398676915398468,-35.677547225261804,-39.83633257978659,-37.358933341260766,-45.122994051902474,-45.49768997278267,-50.004448638381334,-34.320891167795246,-1.2759854872937306,44.098749022055536,19.181033426575183,-38.37219849376893,15.606161452197789,-38.24378966839477,-39.36839166390034,-41.2411702671999,-45.793755546932815,-43.14053151466278,-43.815162619659574,-39.80814871403034,-36.98126239102244,-42.777828401291885,-41.08526266485512,0.0 \n",
"9 179.99932169695205,-37.016486662352094,-41.47630395662156,-40.03030656890961,-39.56292271313878,-43.38610646529196,-40.96371913397039,-44.21868303816494,-40.58901651385193,-40.99133170661388,-37.51278143834419,-43.982415527758825,139.10487165398837,-10.323620520779322,-4.799437836543055,156.37941986362603,159.37891113067573,-31.029282653163424,-43.24960993315491,-40.19749163258058,-45.053573671948094,-40.1418523683894,-40.0845007678448,-39.738177637595804,-35.183828082290965,-37.66835459458902,-44.69273313376687,144.888762214947,-12.15119120213544,113.68605589268499,-23.632059907604464,-33.84497063726042,-34.23792356033179,-32.29024893858771,-37.36357065360846,-45.28548026384168,-40.55544530300989,-51.823455234278185,-37.526876634262045,-48.16444199700557,-38.89715626752906,-37.274510720964294,0.0 \n",
"\n",
" SSE \\\n",
"4 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"5 LHHHHHHHHHHHHLLLHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"3 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"0 LHHHHHHHHHHHLLLLLHHHHHHHHHHHLLLLHHHHHHHHHHL \n",
"8 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"7 LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"1 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"2 LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"6 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"9 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLHHHHHHHHHHHHL \n",
"\n",
" description \\\n",
"4 EHPC100_job_77_hhh_11.5.10.5.10_20201122032649.pdb \n",
"5 EHPC100_job_77_hhh_11.5.10.5.10_20201122032655.pdb \n",
"3 EHPC100_job_77_hhh_11.5.10.5.10_20201122032600.pdb \n",
"0 EHPC100_job_77_hhh_11.5.10.5.10_20201122032157.pdb \n",
"8 EHPC100_job_77_hhh_11.5.10.5.10_20201122032943.pdb \n",
"7 EHPC100_job_77_hhh_11.5.10.5.10_20201122032833.pdb \n",
"1 EHPC100_job_77_hhh_11.5.10.5.10_20201122032313.pdb \n",
"2 EHPC100_job_77_hhh_11.5.10.5.10_20201122032428.pdb \n",
"6 EHPC100_job_77_hhh_11.5.10.5.10_20201122032822.pdb \n",
"9 EHPC100_job_77_hhh_11.5.10.5.10_20201122032955.pdb \n",
"\n",
" sequence_A \n",
"4 TPLDEEARRAFQRNSSTAQELLKQLERDSRADPRVIEELRRLK \n",
"5 SEEVKKILKELLKDKDKQEALKKWAKKAGLTDEHVRRLMKKIM \n",
"3 SEIEELAKRLLKDSRGDLRKLLEELQRNNQPNYQYVEHLLRKY \n",
"0 SHIEEIFKELQRQNASNLREFVEEAWRRGEMSEELYKKMKKIV \n",
"8 SPEEFEKLKEKAKRENNEEVLRKLEEAAKNASEEEIKELKRQI \n",
"7 TEVEEILKRAAKKPDHKFREIFRELIERNLANELAKQILKELG \n",
"1 SVEEIVKKMIKKASGASREQIKKLAEKIPGVDERVIKMAERLI \n",
"2 SEEEKEFLKRVKDKDPELAKKMQKLLENGYASIEQLQKQLEKR \n",
"6 DPKTEELIKQYQRKERSEEMMEELRKKANNRNKEMIKKARKDG \n",
"9 SEIEERLEKLARSETGTEEQMRQLAKKYEDPSAREFLKRYREK \n",
"\n",
"[10 rows x 61 columns]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 例句3--排序:\n",
"df_selection3 = raw_df.sort_values('score')\n",
"df_selection3"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "48f95450-0091-4935-b8d5-c59b60ac1dd7",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>score</th>\n",
" <th>fa_atr</th>\n",
" <th>fa_rep</th>\n",
" <th>fa_sol</th>\n",
" <th>fa_intra_atr_xover4</th>\n",
" <th>fa_intra_rep_xover4</th>\n",
" <th>fa_intra_sol_xover4</th>\n",
" <th>lk_ball</th>\n",
" <th>lk_ball_iso</th>\n",
" <th>lk_ball_bridge</th>\n",
" <th>...</th>\n",
" <th>nres_loop</th>\n",
" <th>nres_sheet</th>\n",
" <th>nres_total</th>\n",
" <th>percent_core</th>\n",
" <th>ss_mismatch_probability</th>\n",
" <th>PHI</th>\n",
" <th>PSI</th>\n",
" <th>SSE</th>\n",
" <th>description</th>\n",
" <th>sequence_A</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>-121.064</td>\n",
" <td>-244.426</td>\n",
" <td>29.031</td>\n",
" <td>221.440</td>\n",
" <td>-17.579</td>\n",
" <td>6.851</td>\n",
" <td>14.169</td>\n",
" <td>107.873</td>\n",
" <td>-114.030</td>\n",
" <td>-0.525</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.256</td>\n",
" <td>0.287</td>\n",
" <td>0.0,-51.87091799368676,-64.6619591856215,-67.61696240054658,-68.15975572226549,-71.10474117445663,-62.46121453509447,-62.61452674806745,-67.89731257742798,-62.55881781233866,-68.5433416761228,-63.82896994855344,-85.80341139138933,56.238664341087066,-69.16292169749866,-69.21465142956552,-101.90658947165075,-60.46202918505737,-69.99063157805487,-65.54272678848187,-66.10689404058697,-60.979556832525034,-59.496566229136114,-66.39828838949327,-66.26009193783216,-65.49731637112234,-73.73102319912029,-73.8132209120679,-69.16042616655248,-86.52764131526719,-68.9760938350884,-77.84712300540829,-52.324042504390604,-60.13170929156555,-75.09475589765687,-57.594179672415535,-62.4475439910981,-61.26251605252609,-62.806547038625695,-63.269954706990006,-70.35241607797168,-64.62569574424363,66.20302967140654</td>\n",
" <td>158.8579996719137,-30.483444726833095,-32.24966634417741,-40.66226199826478,-41.84621438723774,-39.879622281899074,-42.469617160418764,-41.46906769299146,-39.146936718130824,-41.31672044189506,-41.86360955382718,-34.57961066131456,-1.7720340892158377,42.32001699982879,143.9117036570796,-15.216632004172949,5.741726509719791,-39.11750978556931,-33.1278924424146,-39.1048546699204,-39.857079619737355,-45.89146191163548,-39.08065643394893,-37.76813369687862,-36.68836023879931,-38.39662212288831,-37.722542188143855,113.4728854094521,-14.16973576661007,-9.542043474613491,147.16288667981735,114.8157539937289,-34.792142714240384,-40.00108152122428,-40.073499268994205,-43.91745967870654,-43.187365836602496,-44.357076094918824,-39.699446516716655,-37.37637887519146,-37.74235305659722,-40.76796426813538,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032649.pdb</td>\n",
" <td>TPLDEEARRAFQRNSSTAQELLKQLERDSRADPRVIEELRRLK</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>-118.053</td>\n",
" <td>-246.797</td>\n",
" <td>27.615</td>\n",
" <td>201.156</td>\n",
" <td>-16.486</td>\n",
" <td>7.773</td>\n",
" <td>13.151</td>\n",
" <td>99.955</td>\n",
" <td>-105.873</td>\n",
" <td>-0.279</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.186</td>\n",
" <td>0.261</td>\n",
" <td>0.0,-64.14140572246093,-63.00727802265437,-66.34861710895203,-58.86076460132219,-62.32542656366038,-65.59917619717174,-61.577051799155115,-62.86491434010714,-71.14408707352696,-63.27032769683299,-63.983364546726165,-88.98161138277746,-85.30664850078092,-67.0799340141522,-91.62369411037075,45.98458859119583,-66.60056501798285,-65.95521872473674,-63.19634522125229,-70.51178137209546,-67.67434342381853,-62.54734420907427,-65.32080118341315,-58.85400398229917,-66.83881907878119,-65.88550842831933,-72.89619674594299,72.84512983861967,-98.83603473442105,-117.27724688833295,-80.01600306074138,-67.078988418097,-58.355349657405085,-65.23554308562461,-60.641376535734004,-65.317036597681,-61.866853984711135,-58.54084510362138,-60.56779610872141,-69.87167144311813,-79.73645301805705,-49.25889852186145</td>\n",
" <td>25.578814731294123,-38.00816667494092,-38.18603508456187,-44.88949754838419,-47.05544184821509,-47.948703778124596,-45.48749695423693,-42.14243390476543,-37.75151528353585,-38.74388794487499,-36.112909419401255,-18.55808297235601,-1.707423120995015,178.80482024228107,-21.902334647745658,-1.8914604902347074,-123.96138219092286,-24.93882293050007,-29.618265586630912,-35.521979218319345,-40.681965387906416,-43.16171991450866,-44.16894954911073,-49.56610388582879,-39.46124767285913,-48.7936201972212,-32.65535564981697,-11.482352446127866,32.81110840004064,101.3670297959233,16.59891847155383,157.62533469511726,-37.63931354464049,-47.29777990400261,-42.491036399236435,-39.72059060432613,-41.17966549868329,-41.44066064018972,-50.92708679416365,-39.259762522794176,-36.37017595744394,-42.88985425838916,0.0</td>\n",
" <td>LHHHHHHHHHHHHLLLHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032655.pdb</td>\n",
" <td>SEEVKKILKELLKDKDKQEALKKWAKKAGLTDEHVRRLMKKIM</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>-116.810</td>\n",
" <td>-243.867</td>\n",
" <td>21.962</td>\n",
" <td>204.181</td>\n",
" <td>-19.960</td>\n",
" <td>7.784</td>\n",
" <td>15.809</td>\n",
" <td>99.764</td>\n",
" <td>-105.959</td>\n",
" <td>-0.406</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.256</td>\n",
" <td>0.263</td>\n",
" <td>0.0,-60.41701762419428,-62.675160123107226,-70.10098078315754,-64.88399338823248,-69.65684202319159,-59.603332249509705,-64.4636382929172,-66.62407160551683,-68.01143557705103,-67.5380429291549,-73.80987013133573,-90.85796234297753,-69.94094913557602,-79.81313507238924,-94.81372016085895,-151.03575484796272,-65.63837798853463,-61.132050356335164,-63.47669383079445,-64.8374521706156,-58.34859948618523,-62.7030418816911,-66.88012705092636,-63.3090138766452,-66.67452906083983,-63.007572751935776,-90.96756434017595,51.691141337611676,-85.84308565212628,-74.69164821856461,65.50240324414355,-66.40320359459368,-65.30457235609691,-61.29426610974433,-65.92025799759239,-61.072022534417314,-59.010936427298354,-65.33854952588165,-62.64194002032411,-79.04483017805029,-70.18726567742983,-100.86203701342042</td>\n",
" <td>86.74988983051828,-35.43574203071179,-44.264025830871745,-40.264730299547274,-42.00316272215953,-43.08710072713454,-39.0367254939542,-41.58783205986145,-38.48062529563729,-34.43132537612126,-44.539483318275025,-40.968118195248366,105.54981797603179,-8.611823088569498,-12.731158985482608,188.41102386615586,117.68107209112323,-31.37530121369642,-41.74732274223366,-41.378424084585916,-45.07194621269743,-48.39564053902063,-39.383863140665454,-43.82211734772339,-38.140323684482496,-43.66674349744812,-36.128816745921185,8.596738620396577,44.30053003129075,149.508606440333,157.78686210264664,18.797113052684725,-21.577057865304276,-23.03697033590036,-45.3551632047944,-42.054520962554825,-39.58632838781002,-49.411982585802136,-38.503412389800715,-43.68088267743077,-35.701322994965885,-45.27853349148709,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032600.pdb</td>\n",
" <td>SEIEELAKRLLKDSRGDLRKLLEELQRNNQPNYQYVEHLLRKY</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>-115.348</td>\n",
" <td>-248.220</td>\n",
" <td>23.856</td>\n",
" <td>204.601</td>\n",
" <td>-19.273</td>\n",
" <td>8.070</td>\n",
" <td>17.321</td>\n",
" <td>99.223</td>\n",
" <td>-105.788</td>\n",
" <td>-0.548</td>\n",
" <td>...</td>\n",
" <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.256</td>\n",
" <td>0.302</td>\n",
" <td>0.0,-66.61703742125313,-66.66204304586961,-64.2627475879439,-66.44318693590479,-65.27866717342658,-55.47564223945256,-60.55650264141377,-64.22576792577901,-64.02494083109615,-66.58947909877377,-63.445941933853376,-82.68156985834482,57.87345390963645,-67.16285450680006,-89.02662257634594,-89.709039177475,-77.08106174109108,-69.61483090932575,-65.15474559676444,-57.74476095018723,-63.16713300307241,-70.47268396961864,-68.51553046099137,-64.51032489503767,-63.496345967103316,-64.2865806993615,-68.00154858290396,101.8111743976923,-94.05687803119253,-83.05266794048505,-79.29649799606862,-63.645260272174184,-68.98036302624823,-70.56949099309887,-60.852820372348376,-65.40300963386642,-60.40027121280268,-69.43870153142986,-60.722972493878466,-72.37369148915171,-66.88119749195621,-158.01695932191876</td>\n",
" <td>-15.270410929420306,-27.453350620107514,-43.343499065683496,-41.50737623458657,-38.729269075765906,-43.740823999394834,-47.811348775724895,-39.95352552646714,-40.32243118212867,-35.90586187723031,-43.04035388824186,-33.76244729550682,1.3499443829536215,43.743951291249864,141.23579948572367,-28.018696371231332,49.3329196277017,-32.92968480556337,-37.82091957363441,-39.94325194788841,-49.386346222146415,-45.9522658156121,-37.233887342561125,-44.33228429648577,-33.859499865924036,-48.468920043307065,-39.5520664499651,-34.27235262288263,19.10615110194125,-26.542008131567737,130.03494579330095,166.1985356807009,-40.07836591289924,-44.039394152274824,-36.271535277646635,-51.21028563456098,-41.640579618357776,-51.18460949128726,-33.73971300615915,-36.61614548071734,-36.54068430712844,-45.00943197786171,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHHLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032157.pdb</td>\n",
" <td>SHIEEIFKELQRQNASNLREFVEEAWRRGEMSEELYKKMKKIV</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>-114.042</td>\n",
" <td>-232.848</td>\n",
" <td>25.142</td>\n",
" <td>220.845</td>\n",
" <td>-15.183</td>\n",
" <td>5.901</td>\n",
" <td>16.186</td>\n",
" <td>108.961</td>\n",
" <td>-109.326</td>\n",
" <td>-0.454</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.209</td>\n",
" <td>0.307</td>\n",
" <td>0.0,-51.48024869435859,-59.30778457208701,-70.60289584858495,-66.93899312498681,-66.40987252599236,-63.39382558395998,-68.04356223920345,-60.652432621310155,-61.89635497385933,-66.37577601401324,-59.33058313849102,-61.15876480231454,-92.94710455669764,-91.84443978530747,55.43377521064221,-93.5287567500433,-61.22058011758979,-62.6599744987428,-67.9175329438902,-60.01443546754284,-68.75214466312453,-65.62739940328859,-64.87353840147269,-66.29795444331049,-76.10226119083158,-64.29362577571187,-69.72607493706828,-83.862996791081,52.1357800088046,-77.40988220337988,-60.408693077595245,-61.86958068055051,-62.64951573690476,-69.13596403458016,-68.27742022206758,-61.49792138406971,-63.987110515267474,-61.724628545273895,-60.13465608934933,-68.32074089335299,-70.37578445473903,-77.69343976874832</td>\n",
" <td>104.35277004349973,-33.65241222333037,-38.1849871291387,-37.941728883025604,-42.30006626124337,-37.574514526073806,-39.9311708273235,-34.412428732484315,-41.697672561826515,-36.432959821076594,-47.81068520869051,-33.899854395478414,-30.250117653227385,-26.322558143473863,2.5274835592379366,41.845325944061216,84.410194385844,-40.774269149420036,-36.95627350673593,-43.41264520614228,-40.41748703627092,-42.770426428818716,-39.39398806304044,-39.46164868323077,-41.46422271617256,-36.54568408518662,-30.80083988264804,-19.210582850185627,64.44608830757603,43.668058673575395,161.29180496716185,146.2035885699289,-37.855518496395646,-39.54432856162265,-39.83097584997943,-45.23404029279285,-41.49031865761338,-43.20410430845697,-43.061475307962596,-39.412520277521644,-36.44286754001981,-36.33698118177661,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032943.pdb</td>\n",
" <td>SPEEFEKLKEKAKRENNEEVLRKLEEAAKNASEEEIKELKRQI</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 61 columns</p>\n",
"</div>"
],
"text/plain": [
" score fa_atr fa_rep fa_sol fa_intra_atr_xover4 \\\n",
"4 -121.064 -244.426 29.031 221.440 -17.579 \n",
"5 -118.053 -246.797 27.615 201.156 -16.486 \n",
"3 -116.810 -243.867 21.962 204.181 -19.960 \n",
"0 -115.348 -248.220 23.856 204.601 -19.273 \n",
"8 -114.042 -232.848 25.142 220.845 -15.183 \n",
"\n",
" fa_intra_rep_xover4 fa_intra_sol_xover4 lk_ball lk_ball_iso \\\n",
"4 6.851 14.169 107.873 -114.030 \n",
"5 7.773 13.151 99.955 -105.873 \n",
"3 7.784 15.809 99.764 -105.959 \n",
"0 8.070 17.321 99.223 -105.788 \n",
"8 5.901 16.186 108.961 -109.326 \n",
"\n",
" lk_ball_bridge ... nres_loop nres_sheet nres_total percent_core \\\n",
"4 -0.525 ... 12.0 0.0 43.0 0.256 \n",
"5 -0.279 ... 10.0 0.0 43.0 0.186 \n",
"3 -0.406 ... 12.0 0.0 43.0 0.256 \n",
"0 -0.548 ... 11.0 0.0 43.0 0.256 \n",
"8 -0.454 ... 12.0 0.0 43.0 0.209 \n",
"\n",
" ss_mismatch_probability \\\n",
"4 0.287 \n",
"5 0.261 \n",
"3 0.263 \n",
"0 0.302 \n",
"8 0.307 \n",
"\n",
" PHI \\\n",
"4 0.0,-51.87091799368676,-64.6619591856215,-67.61696240054658,-68.15975572226549,-71.10474117445663,-62.46121453509447,-62.61452674806745,-67.89731257742798,-62.55881781233866,-68.5433416761228,-63.82896994855344,-85.80341139138933,56.238664341087066,-69.16292169749866,-69.21465142956552,-101.90658947165075,-60.46202918505737,-69.99063157805487,-65.54272678848187,-66.10689404058697,-60.979556832525034,-59.496566229136114,-66.39828838949327,-66.26009193783216,-65.49731637112234,-73.73102319912029,-73.8132209120679,-69.16042616655248,-86.52764131526719,-68.9760938350884,-77.84712300540829,-52.324042504390604,-60.13170929156555,-75.09475589765687,-57.594179672415535,-62.4475439910981,-61.26251605252609,-62.806547038625695,-63.269954706990006,-70.35241607797168,-64.62569574424363,66.20302967140654 \n",
"5 0.0,-64.14140572246093,-63.00727802265437,-66.34861710895203,-58.86076460132219,-62.32542656366038,-65.59917619717174,-61.577051799155115,-62.86491434010714,-71.14408707352696,-63.27032769683299,-63.983364546726165,-88.98161138277746,-85.30664850078092,-67.0799340141522,-91.62369411037075,45.98458859119583,-66.60056501798285,-65.95521872473674,-63.19634522125229,-70.51178137209546,-67.67434342381853,-62.54734420907427,-65.32080118341315,-58.85400398229917,-66.83881907878119,-65.88550842831933,-72.89619674594299,72.84512983861967,-98.83603473442105,-117.27724688833295,-80.01600306074138,-67.078988418097,-58.355349657405085,-65.23554308562461,-60.641376535734004,-65.317036597681,-61.866853984711135,-58.54084510362138,-60.56779610872141,-69.87167144311813,-79.73645301805705,-49.25889852186145 \n",
"3 0.0,-60.41701762419428,-62.675160123107226,-70.10098078315754,-64.88399338823248,-69.65684202319159,-59.603332249509705,-64.4636382929172,-66.62407160551683,-68.01143557705103,-67.5380429291549,-73.80987013133573,-90.85796234297753,-69.94094913557602,-79.81313507238924,-94.81372016085895,-151.03575484796272,-65.63837798853463,-61.132050356335164,-63.47669383079445,-64.8374521706156,-58.34859948618523,-62.7030418816911,-66.88012705092636,-63.3090138766452,-66.67452906083983,-63.007572751935776,-90.96756434017595,51.691141337611676,-85.84308565212628,-74.69164821856461,65.50240324414355,-66.40320359459368,-65.30457235609691,-61.29426610974433,-65.92025799759239,-61.072022534417314,-59.010936427298354,-65.33854952588165,-62.64194002032411,-79.04483017805029,-70.18726567742983,-100.86203701342042 \n",
"0 0.0,-66.61703742125313,-66.66204304586961,-64.2627475879439,-66.44318693590479,-65.27866717342658,-55.47564223945256,-60.55650264141377,-64.22576792577901,-64.02494083109615,-66.58947909877377,-63.445941933853376,-82.68156985834482,57.87345390963645,-67.16285450680006,-89.02662257634594,-89.709039177475,-77.08106174109108,-69.61483090932575,-65.15474559676444,-57.74476095018723,-63.16713300307241,-70.47268396961864,-68.51553046099137,-64.51032489503767,-63.496345967103316,-64.2865806993615,-68.00154858290396,101.8111743976923,-94.05687803119253,-83.05266794048505,-79.29649799606862,-63.645260272174184,-68.98036302624823,-70.56949099309887,-60.852820372348376,-65.40300963386642,-60.40027121280268,-69.43870153142986,-60.722972493878466,-72.37369148915171,-66.88119749195621,-158.01695932191876 \n",
"8 0.0,-51.48024869435859,-59.30778457208701,-70.60289584858495,-66.93899312498681,-66.40987252599236,-63.39382558395998,-68.04356223920345,-60.652432621310155,-61.89635497385933,-66.37577601401324,-59.33058313849102,-61.15876480231454,-92.94710455669764,-91.84443978530747,55.43377521064221,-93.5287567500433,-61.22058011758979,-62.6599744987428,-67.9175329438902,-60.01443546754284,-68.75214466312453,-65.62739940328859,-64.87353840147269,-66.29795444331049,-76.10226119083158,-64.29362577571187,-69.72607493706828,-83.862996791081,52.1357800088046,-77.40988220337988,-60.408693077595245,-61.86958068055051,-62.64951573690476,-69.13596403458016,-68.27742022206758,-61.49792138406971,-63.987110515267474,-61.724628545273895,-60.13465608934933,-68.32074089335299,-70.37578445473903,-77.69343976874832 \n",
"\n",
" PSI \\\n",
"4 158.8579996719137,-30.483444726833095,-32.24966634417741,-40.66226199826478,-41.84621438723774,-39.879622281899074,-42.469617160418764,-41.46906769299146,-39.146936718130824,-41.31672044189506,-41.86360955382718,-34.57961066131456,-1.7720340892158377,42.32001699982879,143.9117036570796,-15.216632004172949,5.741726509719791,-39.11750978556931,-33.1278924424146,-39.1048546699204,-39.857079619737355,-45.89146191163548,-39.08065643394893,-37.76813369687862,-36.68836023879931,-38.39662212288831,-37.722542188143855,113.4728854094521,-14.16973576661007,-9.542043474613491,147.16288667981735,114.8157539937289,-34.792142714240384,-40.00108152122428,-40.073499268994205,-43.91745967870654,-43.187365836602496,-44.357076094918824,-39.699446516716655,-37.37637887519146,-37.74235305659722,-40.76796426813538,0.0 \n",
"5 25.578814731294123,-38.00816667494092,-38.18603508456187,-44.88949754838419,-47.05544184821509,-47.948703778124596,-45.48749695423693,-42.14243390476543,-37.75151528353585,-38.74388794487499,-36.112909419401255,-18.55808297235601,-1.707423120995015,178.80482024228107,-21.902334647745658,-1.8914604902347074,-123.96138219092286,-24.93882293050007,-29.618265586630912,-35.521979218319345,-40.681965387906416,-43.16171991450866,-44.16894954911073,-49.56610388582879,-39.46124767285913,-48.7936201972212,-32.65535564981697,-11.482352446127866,32.81110840004064,101.3670297959233,16.59891847155383,157.62533469511726,-37.63931354464049,-47.29777990400261,-42.491036399236435,-39.72059060432613,-41.17966549868329,-41.44066064018972,-50.92708679416365,-39.259762522794176,-36.37017595744394,-42.88985425838916,0.0 \n",
"3 86.74988983051828,-35.43574203071179,-44.264025830871745,-40.264730299547274,-42.00316272215953,-43.08710072713454,-39.0367254939542,-41.58783205986145,-38.48062529563729,-34.43132537612126,-44.539483318275025,-40.968118195248366,105.54981797603179,-8.611823088569498,-12.731158985482608,188.41102386615586,117.68107209112323,-31.37530121369642,-41.74732274223366,-41.378424084585916,-45.07194621269743,-48.39564053902063,-39.383863140665454,-43.82211734772339,-38.140323684482496,-43.66674349744812,-36.128816745921185,8.596738620396577,44.30053003129075,149.508606440333,157.78686210264664,18.797113052684725,-21.577057865304276,-23.03697033590036,-45.3551632047944,-42.054520962554825,-39.58632838781002,-49.411982585802136,-38.503412389800715,-43.68088267743077,-35.701322994965885,-45.27853349148709,0.0 \n",
"0 -15.270410929420306,-27.453350620107514,-43.343499065683496,-41.50737623458657,-38.729269075765906,-43.740823999394834,-47.811348775724895,-39.95352552646714,-40.32243118212867,-35.90586187723031,-43.04035388824186,-33.76244729550682,1.3499443829536215,43.743951291249864,141.23579948572367,-28.018696371231332,49.3329196277017,-32.92968480556337,-37.82091957363441,-39.94325194788841,-49.386346222146415,-45.9522658156121,-37.233887342561125,-44.33228429648577,-33.859499865924036,-48.468920043307065,-39.5520664499651,-34.27235262288263,19.10615110194125,-26.542008131567737,130.03494579330095,166.1985356807009,-40.07836591289924,-44.039394152274824,-36.271535277646635,-51.21028563456098,-41.640579618357776,-51.18460949128726,-33.73971300615915,-36.61614548071734,-36.54068430712844,-45.00943197786171,0.0 \n",
"8 104.35277004349973,-33.65241222333037,-38.1849871291387,-37.941728883025604,-42.30006626124337,-37.574514526073806,-39.9311708273235,-34.412428732484315,-41.697672561826515,-36.432959821076594,-47.81068520869051,-33.899854395478414,-30.250117653227385,-26.322558143473863,2.5274835592379366,41.845325944061216,84.410194385844,-40.774269149420036,-36.95627350673593,-43.41264520614228,-40.41748703627092,-42.770426428818716,-39.39398806304044,-39.46164868323077,-41.46422271617256,-36.54568408518662,-30.80083988264804,-19.210582850185627,64.44608830757603,43.668058673575395,161.29180496716185,146.2035885699289,-37.855518496395646,-39.54432856162265,-39.83097584997943,-45.23404029279285,-41.49031865761338,-43.20410430845697,-43.061475307962596,-39.412520277521644,-36.44286754001981,-36.33698118177661,0.0 \n",
"\n",
" SSE \\\n",
"4 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"5 LHHHHHHHHHHHHLLLHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"3 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"0 LHHHHHHHHHHHLLLLLHHHHHHHHHHHLLLLHHHHHHHHHHL \n",
"8 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"\n",
" description \\\n",
"4 EHPC100_job_77_hhh_11.5.10.5.10_20201122032649.pdb \n",
"5 EHPC100_job_77_hhh_11.5.10.5.10_20201122032655.pdb \n",
"3 EHPC100_job_77_hhh_11.5.10.5.10_20201122032600.pdb \n",
"0 EHPC100_job_77_hhh_11.5.10.5.10_20201122032157.pdb \n",
"8 EHPC100_job_77_hhh_11.5.10.5.10_20201122032943.pdb \n",
"\n",
" sequence_A \n",
"4 TPLDEEARRAFQRNSSTAQELLKQLERDSRADPRVIEELRRLK \n",
"5 SEEVKKILKELLKDKDKQEALKKWAKKAGLTDEHVRRLMKKIM \n",
"3 SEIEELAKRLLKDSRGDLRKLLEELQRNNQPNYQYVEHLLRKY \n",
"0 SHIEEIFKELQRQNASNLREFVEEAWRRGEMSEELYKKMKKIV \n",
"8 SPEEFEKLKEKAKRENNEEVLRKLEEAAKNASEEEIKELKRQI \n",
"\n",
"[5 rows x 61 columns]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 例句4--截断:\n",
"df_selection4 = raw_df.sort_values('score').head(5)\n",
"df_selection4"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "2d852eab-fd19-4365-ad4a-c11d7c940a2f",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>score</th>\n",
" <th>fa_atr</th>\n",
" <th>fa_rep</th>\n",
" <th>fa_sol</th>\n",
" <th>fa_intra_atr_xover4</th>\n",
" <th>fa_intra_rep_xover4</th>\n",
" <th>fa_intra_sol_xover4</th>\n",
" <th>lk_ball</th>\n",
" <th>lk_ball_iso</th>\n",
" <th>lk_ball_bridge</th>\n",
" <th>...</th>\n",
" <th>nres_loop</th>\n",
" <th>nres_sheet</th>\n",
" <th>nres_total</th>\n",
" <th>percent_core</th>\n",
" <th>ss_mismatch_probability</th>\n",
" <th>PHI</th>\n",
" <th>PSI</th>\n",
" <th>SSE</th>\n",
" <th>description</th>\n",
" <th>sequence_A</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>-111.605</td>\n",
" <td>-241.044</td>\n",
" <td>29.032</td>\n",
" <td>188.744</td>\n",
" <td>-17.360</td>\n",
" <td>7.708</td>\n",
" <td>13.119</td>\n",
" <td>95.556</td>\n",
" <td>-102.038</td>\n",
" <td>-0.335</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.186</td>\n",
" <td>0.335</td>\n",
" <td>0.0,-61.816026473581395,-60.87873427386993,-64.51024770761043,-63.10392233294926,-64.23482012032534,-64.680874248356,-60.66961314351576,-71.64463978334865,-63.24105965575744,-68.51336264921207,-87.40874592621869,52.85547148280792,-66.37135130048894,-159.28162388186527,-72.04898204335726,-91.23362478670171,-59.19866149020611,-70.40617266813769,-69.41468304560698,-64.35874575364411,-63.02918602763617,-61.24466252896299,-60.56573364691166,-66.43755382418904,-72.25860023352529,-66.28395963794418,-87.08050049367311,54.3695702401474,-99.04581680264154,-104.37947103434662,50.59528408561853,-68.21538426658607,-67.12484362281268,-66.47994182018405,-61.428431832870345,-66.59170804313756,-66.229930924608,-62.46970952055127,-62.91998644731243,-66.55357012253441,-64.34196161315106,104.4673399414333</td>\n",
" <td>115.99844970876589,-37.54483533122744,-43.79033726430612,-42.33399027064176,-39.63509633907059,-46.13586564515068,-39.62586069732336,-40.02115810065967,-43.597573295722896,-31.508669700612042,-13.493978955523716,-4.813174407090667,58.97031925478837,-22.27680664176824,177.99664528032784,-10.477330060180872,1.265725177997705,-27.14115361849895,-30.681013517424013,-32.61183114514764,-46.83765846926104,-42.68357484593599,-46.187160289435205,-47.060519436449425,-30.670942054519475,-51.41204082569745,-34.63503503189473,3.9149217565832197,43.50019502443131,-34.696627768614924,-22.945302628210737,-123.52096880255584,-21.947745499194514,-51.95328061082064,-35.67083657211858,-47.92772919130619,-42.27368173394641,-45.14734723283217,-41.7848860485962,-40.029111067566824,-38.54908540192382,-41.05432821808837,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032833.pdb</td>\n",
" <td>TEVEEILKRAAKKPDHKFREIFRELIERNLANELAKQILKELG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>-111.579</td>\n",
" <td>-239.381</td>\n",
" <td>25.203</td>\n",
" <td>188.087</td>\n",
" <td>-15.924</td>\n",
" <td>10.248</td>\n",
" <td>12.333</td>\n",
" <td>102.075</td>\n",
" <td>-103.115</td>\n",
" <td>-0.478</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.349</td>\n",
" <td>0.267</td>\n",
" <td>0.0,-64.3519467853161,-63.418086930463815,-65.56673176992616,-62.937028353387916,-64.84600479810152,-60.46768276861964,-64.99142204050862,-59.049636840404,-63.18631177283314,-58.85645964636771,-64.35015465192834,-97.54005666361657,-52.86373021885636,100.75694461007625,-71.36374889851632,-72.82703291356235,-61.32485242033397,-64.54206754213402,-64.50010229369639,-64.6732629210743,-57.12234914566474,-61.09981426241765,-64.47279134871839,-62.10672300145529,-66.14427121037937,-66.00261452846901,-68.06192326827916,-69.68543652922278,91.85104777792408,-81.18992895090004,-109.41994732519733,-61.87846575537298,-61.974640237969076,-65.06401434230709,-62.69618238650833,-58.63360441093861,-57.32725924615807,-58.089019700406446,-63.92901632178451,-78.36838629831337,-67.86420289769583,-89.24805136111644</td>\n",
" <td>135.29049056466624,-44.3565372650317,-39.44213431209112,-39.813270032614355,-44.34201877339164,-43.534511504796356,-41.92051977907319,-40.62558720133791,-44.1940958663573,-43.6038936284092,-48.88955537867602,-34.80524214505524,18.73689667446474,134.23485792624905,-14.193883138670655,156.87051590470855,163.20839740726998,-37.125238128619756,-41.06313289927764,-43.28759722099899,-41.801725412414605,-48.76218444761745,-43.068821843732735,-40.55155304541878,-38.54489931440367,-36.85904541676932,-35.12446892323645,125.3914543230007,145.65503193618588,-8.208151559667714,126.69306929503253,-174.3708053732862,-38.44431561898169,-46.07858141526455,-37.39032838784732,-45.66377989383726,-40.39137357798858,-48.76846703504008,-38.57259568994066,-33.276471026442586,-34.93916532435953,-38.69601513404585,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032313.pdb</td>\n",
" <td>SVEEIVKKMIKKASGASREQIKKLAEKIPGVDERVIKMAERLI</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>-107.145</td>\n",
" <td>-245.738</td>\n",
" <td>23.800</td>\n",
" <td>223.426</td>\n",
" <td>-17.090</td>\n",
" <td>6.658</td>\n",
" <td>15.022</td>\n",
" <td>112.316</td>\n",
" <td>-111.729</td>\n",
" <td>-0.325</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.163</td>\n",
" <td>0.281</td>\n",
" <td>0.0,-65.67988795578451,-63.810354341309825,-66.02631367384691,-62.52707616603043,-63.14156238435789,-57.622158107998445,-67.00528688950165,-62.262488202654865,-56.67415089889363,-75.70994045838138,-57.82533593806999,-59.59509360861571,-107.55320642586815,-158.6619894605935,-60.21877818562311,-77.72389500225836,-66.73588150093684,-58.28927125331593,-63.51405894541939,-64.2112927310839,-69.99061840234413,-63.167751675530006,-61.341939555083336,-62.479825943586405,-64.86060162547874,-66.09188262454094,-74.38667346389701,76.63920879829728,-63.18352223795158,-159.69209623128305,-71.53124764266492,-68.15041659663433,-67.36767207528698,-69.8458102064516,-66.3839607671189,-61.57783095416169,-62.74107723116324,-63.47241380519334,-64.46457303636892,-76.13233073851131,-73.17889096830872,-78.7192332015827</td>\n",
" <td>169.09647837628498,-38.48610986516323,-37.445295306603136,-40.034129454495364,-41.834791793462465,-41.06188007692538,-51.58163334308966,-34.94163317775788,-44.66379813137101,-38.533143540345364,-45.42500838170542,-36.897986758152186,-23.396858595182916,-35.92803772141464,95.48536968252863,-25.673874565266583,-37.54831860695169,-38.97888818191979,-41.1154614010036,-41.7877290810818,-41.08227751004935,-32.58560008045613,-40.321241605636544,-43.801834336452735,-41.654211107244144,-48.31989573685587,-34.35399011170958,-7.225226659148367,25.0225457801468,-48.73117370127896,160.46243708095133,162.4646737504978,-26.420342328218975,-42.254404777018586,-41.76209955541568,-38.34376695162168,-43.453214025532574,-41.121342661767876,-38.10191093818169,-37.77791301457546,-35.21126264156708,-38.34464722698572,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032428.pdb</td>\n",
" <td>SEEEKEFLKRVKDKDPELAKKMQKLLENGYASIEQLQKQLEKR</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>-104.212</td>\n",
" <td>-233.769</td>\n",
" <td>22.690</td>\n",
" <td>224.682</td>\n",
" <td>-19.032</td>\n",
" <td>7.830</td>\n",
" <td>17.118</td>\n",
" <td>105.340</td>\n",
" <td>-107.677</td>\n",
" <td>-0.330</td>\n",
" <td>...</td>\n",
" <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.163</td>\n",
" <td>0.334</td>\n",
" <td>0.0,-54.55716758878108,-60.24671925133987,-60.96339544115801,-60.4675875865348,-65.77193234772929,-63.55634861036867,-65.2463797731284,-62.50391995000622,-63.22152662835138,-64.12082980279126,-60.019510478858145,-83.12438915418637,58.74835726165174,-96.7981056833779,-137.85384467753593,-66.3124475793145,-66.15849001928508,-59.9076502864336,-64.3169028034401,-76.79331549477475,-66.36850353169604,-68.16591033137897,-64.04728039289955,-61.70678618814965,-63.609803242619186,-65.94857491469905,-82.15981537380956,54.80929852805371,63.573395064002774,-73.04058179696266,-100.49654188783236,-59.99847576735693,-64.14260214702321,-64.89686513161355,-68.97927149490033,-58.905041199309586,-63.52492336847542,-60.74298066505938,-71.18874876998304,-63.4746892769842,-59.87672154381264,104.91421937347923</td>\n",
" <td>162.466560504179,-34.371169669132804,-48.198721119432335,-44.746258974755015,-41.58444350400652,-44.175525554528924,-40.431811999497974,-45.50860646436511,-39.02126456509508,-39.202897049339164,-46.86641819406775,-35.31366694139388,1.0583826778749952,42.434925560250385,-9.48288859027419,152.04987206388313,150.80409295854002,-14.525527849873443,-29.266363669273485,-30.398676915398468,-35.677547225261804,-39.83633257978659,-37.358933341260766,-45.122994051902474,-45.49768997278267,-50.004448638381334,-34.320891167795246,-1.2759854872937306,44.098749022055536,19.181033426575183,-38.37219849376893,15.606161452197789,-38.24378966839477,-39.36839166390034,-41.2411702671999,-45.793755546932815,-43.14053151466278,-43.815162619659574,-39.80814871403034,-36.98126239102244,-42.777828401291885,-41.08526266485512,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032822.pdb</td>\n",
" <td>DPKTEELIKQYQRKERSEEMMEELRKKANNRNKEMIKKARKDG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>-99.049</td>\n",
" <td>-240.205</td>\n",
" <td>23.017</td>\n",
" <td>218.837</td>\n",
" <td>-17.455</td>\n",
" <td>6.648</td>\n",
" <td>16.604</td>\n",
" <td>109.615</td>\n",
" <td>-109.807</td>\n",
" <td>-0.414</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.279</td>\n",
" <td>0.275</td>\n",
" <td>0.0,-64.0487359118943,-69.69104607827998,-61.32384411097726,-62.316170158356016,-60.94259923238814,-63.14942364428239,-62.10751237754549,-62.23635579091567,-67.79393522723588,-67.30264243643552,-75.58324111263224,-70.17633470937064,-72.37674482389288,-96.35816108479204,-88.32445184168974,-128.1497200942804,-64.11788841385271,-58.5515355621417,-64.59986106202211,-62.604239688873925,-62.35188106160262,-61.03252802587855,-66.81474002031639,-65.98858419729268,-79.24528850470969,-67.7229091745369,-101.72399468575834,-77.61431535481827,-64.53081199307239,-57.304811091192086,-54.71748629994325,-67.85111585098318,-83.14762414240734,-66.18775915739461,-63.62534372613044,-60.39420097192371,-56.75266710610848,-65.19042031492202,-59.02636279350242,-64.9602074846891,-67.76554881186445,-53.10341749547002</td>\n",
" <td>179.99932169695205,-37.016486662352094,-41.47630395662156,-40.03030656890961,-39.56292271313878,-43.38610646529196,-40.96371913397039,-44.21868303816494,-40.58901651385193,-40.99133170661388,-37.51278143834419,-43.982415527758825,139.10487165398837,-10.323620520779322,-4.799437836543055,156.37941986362603,159.37891113067573,-31.029282653163424,-43.24960993315491,-40.19749163258058,-45.053573671948094,-40.1418523683894,-40.0845007678448,-39.738177637595804,-35.183828082290965,-37.66835459458902,-44.69273313376687,144.888762214947,-12.15119120213544,113.68605589268499,-23.632059907604464,-33.84497063726042,-34.23792356033179,-32.29024893858771,-37.36357065360846,-45.28548026384168,-40.55544530300989,-51.823455234278185,-37.526876634262045,-48.16444199700557,-38.89715626752906,-37.274510720964294,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLHHHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032955.pdb</td>\n",
" <td>SEIEERLEKLARSETGTEEQMRQLAKKYEDPSAREFLKRYREK</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 61 columns</p>\n",
"</div>"
],
"text/plain": [
" score fa_atr fa_rep fa_sol fa_intra_atr_xover4 \\\n",
"7 -111.605 -241.044 29.032 188.744 -17.360 \n",
"1 -111.579 -239.381 25.203 188.087 -15.924 \n",
"2 -107.145 -245.738 23.800 223.426 -17.090 \n",
"6 -104.212 -233.769 22.690 224.682 -19.032 \n",
"9 -99.049 -240.205 23.017 218.837 -17.455 \n",
"\n",
" fa_intra_rep_xover4 fa_intra_sol_xover4 lk_ball lk_ball_iso \\\n",
"7 7.708 13.119 95.556 -102.038 \n",
"1 10.248 12.333 102.075 -103.115 \n",
"2 6.658 15.022 112.316 -111.729 \n",
"6 7.830 17.118 105.340 -107.677 \n",
"9 6.648 16.604 109.615 -109.807 \n",
"\n",
" lk_ball_bridge ... nres_loop nres_sheet nres_total percent_core \\\n",
"7 -0.335 ... 10.0 0.0 43.0 0.186 \n",
"1 -0.478 ... 12.0 0.0 43.0 0.349 \n",
"2 -0.325 ... 10.0 0.0 43.0 0.163 \n",
"6 -0.330 ... 12.0 0.0 43.0 0.163 \n",
"9 -0.414 ... 10.0 0.0 43.0 0.279 \n",
"\n",
" ss_mismatch_probability \\\n",
"7 0.335 \n",
"1 0.267 \n",
"2 0.281 \n",
"6 0.334 \n",
"9 0.275 \n",
"\n",
" PHI \\\n",
"7 0.0,-61.816026473581395,-60.87873427386993,-64.51024770761043,-63.10392233294926,-64.23482012032534,-64.680874248356,-60.66961314351576,-71.64463978334865,-63.24105965575744,-68.51336264921207,-87.40874592621869,52.85547148280792,-66.37135130048894,-159.28162388186527,-72.04898204335726,-91.23362478670171,-59.19866149020611,-70.40617266813769,-69.41468304560698,-64.35874575364411,-63.02918602763617,-61.24466252896299,-60.56573364691166,-66.43755382418904,-72.25860023352529,-66.28395963794418,-87.08050049367311,54.3695702401474,-99.04581680264154,-104.37947103434662,50.59528408561853,-68.21538426658607,-67.12484362281268,-66.47994182018405,-61.428431832870345,-66.59170804313756,-66.229930924608,-62.46970952055127,-62.91998644731243,-66.55357012253441,-64.34196161315106,104.4673399414333 \n",
"1 0.0,-64.3519467853161,-63.418086930463815,-65.56673176992616,-62.937028353387916,-64.84600479810152,-60.46768276861964,-64.99142204050862,-59.049636840404,-63.18631177283314,-58.85645964636771,-64.35015465192834,-97.54005666361657,-52.86373021885636,100.75694461007625,-71.36374889851632,-72.82703291356235,-61.32485242033397,-64.54206754213402,-64.50010229369639,-64.6732629210743,-57.12234914566474,-61.09981426241765,-64.47279134871839,-62.10672300145529,-66.14427121037937,-66.00261452846901,-68.06192326827916,-69.68543652922278,91.85104777792408,-81.18992895090004,-109.41994732519733,-61.87846575537298,-61.974640237969076,-65.06401434230709,-62.69618238650833,-58.63360441093861,-57.32725924615807,-58.089019700406446,-63.92901632178451,-78.36838629831337,-67.86420289769583,-89.24805136111644 \n",
"2 0.0,-65.67988795578451,-63.810354341309825,-66.02631367384691,-62.52707616603043,-63.14156238435789,-57.622158107998445,-67.00528688950165,-62.262488202654865,-56.67415089889363,-75.70994045838138,-57.82533593806999,-59.59509360861571,-107.55320642586815,-158.6619894605935,-60.21877818562311,-77.72389500225836,-66.73588150093684,-58.28927125331593,-63.51405894541939,-64.2112927310839,-69.99061840234413,-63.167751675530006,-61.341939555083336,-62.479825943586405,-64.86060162547874,-66.09188262454094,-74.38667346389701,76.63920879829728,-63.18352223795158,-159.69209623128305,-71.53124764266492,-68.15041659663433,-67.36767207528698,-69.8458102064516,-66.3839607671189,-61.57783095416169,-62.74107723116324,-63.47241380519334,-64.46457303636892,-76.13233073851131,-73.17889096830872,-78.7192332015827 \n",
"6 0.0,-54.55716758878108,-60.24671925133987,-60.96339544115801,-60.4675875865348,-65.77193234772929,-63.55634861036867,-65.2463797731284,-62.50391995000622,-63.22152662835138,-64.12082980279126,-60.019510478858145,-83.12438915418637,58.74835726165174,-96.7981056833779,-137.85384467753593,-66.3124475793145,-66.15849001928508,-59.9076502864336,-64.3169028034401,-76.79331549477475,-66.36850353169604,-68.16591033137897,-64.04728039289955,-61.70678618814965,-63.609803242619186,-65.94857491469905,-82.15981537380956,54.80929852805371,63.573395064002774,-73.04058179696266,-100.49654188783236,-59.99847576735693,-64.14260214702321,-64.89686513161355,-68.97927149490033,-58.905041199309586,-63.52492336847542,-60.74298066505938,-71.18874876998304,-63.4746892769842,-59.87672154381264,104.91421937347923 \n",
"9 0.0,-64.0487359118943,-69.69104607827998,-61.32384411097726,-62.316170158356016,-60.94259923238814,-63.14942364428239,-62.10751237754549,-62.23635579091567,-67.79393522723588,-67.30264243643552,-75.58324111263224,-70.17633470937064,-72.37674482389288,-96.35816108479204,-88.32445184168974,-128.1497200942804,-64.11788841385271,-58.5515355621417,-64.59986106202211,-62.604239688873925,-62.35188106160262,-61.03252802587855,-66.81474002031639,-65.98858419729268,-79.24528850470969,-67.7229091745369,-101.72399468575834,-77.61431535481827,-64.53081199307239,-57.304811091192086,-54.71748629994325,-67.85111585098318,-83.14762414240734,-66.18775915739461,-63.62534372613044,-60.39420097192371,-56.75266710610848,-65.19042031492202,-59.02636279350242,-64.9602074846891,-67.76554881186445,-53.10341749547002 \n",
"\n",
" PSI \\\n",
"7 115.99844970876589,-37.54483533122744,-43.79033726430612,-42.33399027064176,-39.63509633907059,-46.13586564515068,-39.62586069732336,-40.02115810065967,-43.597573295722896,-31.508669700612042,-13.493978955523716,-4.813174407090667,58.97031925478837,-22.27680664176824,177.99664528032784,-10.477330060180872,1.265725177997705,-27.14115361849895,-30.681013517424013,-32.61183114514764,-46.83765846926104,-42.68357484593599,-46.187160289435205,-47.060519436449425,-30.670942054519475,-51.41204082569745,-34.63503503189473,3.9149217565832197,43.50019502443131,-34.696627768614924,-22.945302628210737,-123.52096880255584,-21.947745499194514,-51.95328061082064,-35.67083657211858,-47.92772919130619,-42.27368173394641,-45.14734723283217,-41.7848860485962,-40.029111067566824,-38.54908540192382,-41.05432821808837,0.0 \n",
"1 135.29049056466624,-44.3565372650317,-39.44213431209112,-39.813270032614355,-44.34201877339164,-43.534511504796356,-41.92051977907319,-40.62558720133791,-44.1940958663573,-43.6038936284092,-48.88955537867602,-34.80524214505524,18.73689667446474,134.23485792624905,-14.193883138670655,156.87051590470855,163.20839740726998,-37.125238128619756,-41.06313289927764,-43.28759722099899,-41.801725412414605,-48.76218444761745,-43.068821843732735,-40.55155304541878,-38.54489931440367,-36.85904541676932,-35.12446892323645,125.3914543230007,145.65503193618588,-8.208151559667714,126.69306929503253,-174.3708053732862,-38.44431561898169,-46.07858141526455,-37.39032838784732,-45.66377989383726,-40.39137357798858,-48.76846703504008,-38.57259568994066,-33.276471026442586,-34.93916532435953,-38.69601513404585,0.0 \n",
"2 169.09647837628498,-38.48610986516323,-37.445295306603136,-40.034129454495364,-41.834791793462465,-41.06188007692538,-51.58163334308966,-34.94163317775788,-44.66379813137101,-38.533143540345364,-45.42500838170542,-36.897986758152186,-23.396858595182916,-35.92803772141464,95.48536968252863,-25.673874565266583,-37.54831860695169,-38.97888818191979,-41.1154614010036,-41.7877290810818,-41.08227751004935,-32.58560008045613,-40.321241605636544,-43.801834336452735,-41.654211107244144,-48.31989573685587,-34.35399011170958,-7.225226659148367,25.0225457801468,-48.73117370127896,160.46243708095133,162.4646737504978,-26.420342328218975,-42.254404777018586,-41.76209955541568,-38.34376695162168,-43.453214025532574,-41.121342661767876,-38.10191093818169,-37.77791301457546,-35.21126264156708,-38.34464722698572,0.0 \n",
"6 162.466560504179,-34.371169669132804,-48.198721119432335,-44.746258974755015,-41.58444350400652,-44.175525554528924,-40.431811999497974,-45.50860646436511,-39.02126456509508,-39.202897049339164,-46.86641819406775,-35.31366694139388,1.0583826778749952,42.434925560250385,-9.48288859027419,152.04987206388313,150.80409295854002,-14.525527849873443,-29.266363669273485,-30.398676915398468,-35.677547225261804,-39.83633257978659,-37.358933341260766,-45.122994051902474,-45.49768997278267,-50.004448638381334,-34.320891167795246,-1.2759854872937306,44.098749022055536,19.181033426575183,-38.37219849376893,15.606161452197789,-38.24378966839477,-39.36839166390034,-41.2411702671999,-45.793755546932815,-43.14053151466278,-43.815162619659574,-39.80814871403034,-36.98126239102244,-42.777828401291885,-41.08526266485512,0.0 \n",
"9 179.99932169695205,-37.016486662352094,-41.47630395662156,-40.03030656890961,-39.56292271313878,-43.38610646529196,-40.96371913397039,-44.21868303816494,-40.58901651385193,-40.99133170661388,-37.51278143834419,-43.982415527758825,139.10487165398837,-10.323620520779322,-4.799437836543055,156.37941986362603,159.37891113067573,-31.029282653163424,-43.24960993315491,-40.19749163258058,-45.053573671948094,-40.1418523683894,-40.0845007678448,-39.738177637595804,-35.183828082290965,-37.66835459458902,-44.69273313376687,144.888762214947,-12.15119120213544,113.68605589268499,-23.632059907604464,-33.84497063726042,-34.23792356033179,-32.29024893858771,-37.36357065360846,-45.28548026384168,-40.55544530300989,-51.823455234278185,-37.526876634262045,-48.16444199700557,-38.89715626752906,-37.274510720964294,0.0 \n",
"\n",
" SSE \\\n",
"7 LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"1 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"2 LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"6 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"9 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLHHHHHHHHHHHHL \n",
"\n",
" description \\\n",
"7 EHPC100_job_77_hhh_11.5.10.5.10_20201122032833.pdb \n",
"1 EHPC100_job_77_hhh_11.5.10.5.10_20201122032313.pdb \n",
"2 EHPC100_job_77_hhh_11.5.10.5.10_20201122032428.pdb \n",
"6 EHPC100_job_77_hhh_11.5.10.5.10_20201122032822.pdb \n",
"9 EHPC100_job_77_hhh_11.5.10.5.10_20201122032955.pdb \n",
"\n",
" sequence_A \n",
"7 TEVEEILKRAAKKPDHKFREIFRELIERNLANELAKQILKELG \n",
"1 SVEEIVKKMIKKASGASREQIKKLAEKIPGVDERVIKMAERLI \n",
"2 SEEEKEFLKRVKDKDPELAKKMQKLLENGYASIEQLQKQLEKR \n",
"6 DPKTEELIKQYQRKERSEEMMEELRKKANNRNKEMIKKARKDG \n",
"9 SEIEERLEKLARSETGTEEQMRQLAKKYEDPSAREFLKRYREK \n",
"\n",
"[5 rows x 61 columns]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 例句5--截断:\n",
"df_selection5 = raw_df.sort_values('score').tail(5)\n",
"df_selection5"
]
},
{
"cell_type": "markdown",
"id": "9f9471ee",
"metadata": {},
"source": [
"#### 3.3 Plot模块"
]
},
{
"cell_type": "markdown",
"id": "f8d3ab25",
"metadata": {},
"source": [
"rstoolbox下plot模块进行一些简单的图表分析, 主要设计的API:\n",
"\n",
"|definition term |description |\n",
"|-----------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|\n",
"|multiple_distributions(df, fig, grid[, …]) |Automatically plot boxplot distributions for multiple score types of the decoy population. |\n",
"|sequence_frequency_plot(df, seqID, ax[, …]) |Makes a heatmap subplot into the provided axis showing the sequence distribution of each residue type for each position. |\n",
"|logo_plot(df, seqID[, refseq, key_residues, …])|Generates full figure classic LOGO plots. |\n",
"|logo_plot_in_axis(df, seqID, ax[, refseq, …]) |Generates classic LOGO plot in a given axis. |\n",
"|positional_sequence_similarity_plot(df, ax) |Generates a plot covering the amount of identities and positives matches from a population of designs to a reference sequence according to a substitution matrix.|\n",
"|per_residue_matrix_score_plot(df, seqID, ax) |Plot a linear representation of the scoring obtained by applying a substitution matrix. |\n",
"|positional_structural_similarity_plot(df, ax) |Generates a bar plot for positional prevalence of secondary structure elements. |\n",
"|plot_fragments(small_frags, large_frags, …) |Plot RMSD quality of a pair of FragmentFrame in two provided axis. |\n",
"|plot_fragment_profiles(fig, small_frags, …) |Plots a full summary of the a FragmentFrame quality with sequence and expected secondary structure match. |\n",
"|plot_alignment(df, seqID, ax[, line_break, …]) |Make an image representing the alignment of sequences with higlights to mutant positions. |\n",
"|plot_ramachandran(df, seqID, fig[, grid, …]) |Generates a ramachandran plot in RAMPAGE style. |\n",
"|plot_ramachandran_single(df, seqID, ax[, …]) |Plot only one of the 4 ramachandran plots in RAMPAGE format. |\n",
"|plot_dssp_vs_psipred(df, seqID, ax) |Generates a horizontal heatmap showing differences in psipred predictions to dssp assignments. |\n"
]
},
{
"cell_type": "markdown",
"id": "72f58b0c-d158-439e-9dde-e9f5a5149c22",
"metadata": {},
"source": [
"**举例A：数据分布图**"
]
},
{
"cell_type": "markdown",
"id": "72cb6efa",
"metadata": {},
"source": [
"此处举几个简单的使用案例进行说明: 试想下以下需求，在蛋白设计过程中我们相对一些设计地比较好的序列和结构进行筛选，进行这项工作前，必须先知道整体数据的分布形式，使用multiple_distributions API就可以快速地画出所有选定Score的分布图帮助下一步筛选设定筛选条件。"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "16ef4637",
"metadata": {},
"outputs": [],
"source": [
"import rstoolbox as rs\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"plt.style.use('ggplot')\n",
"plt.rcParams['savefig.dpi'] = 300\n",
"plt.rcParams['figure.dpi'] = 300"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "780d71d7",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 3600x1800 with 12 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# plot的score选定(此处我们关注4个score)\n",
"# values = [\"score\", \"hbond_sr_bb\", \"fa_elec\", \"hbond_bb_sc\", \"rama_prepro\", \"lk_ball\"]\n",
"\n",
"values = list(raw_df.columns)[:12]\n",
"\n",
"# 定义图表\n",
"fig = plt.figure(figsize=(12, 6))\n",
"grid = [2, 6] # 第一个数值代表行数量，第二个数值代表列数量，共计可放入2x3项score。\n",
"\n",
"# 制图\n",
"axes = rs.plot.multiple_distributions(df=raw_df, fig=fig, grid=grid, values=values)\n",
"\n",
"# 展示\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "c1b7fbe6-fe1d-45ef-9ce6-63c8b30c8ebb",
"metadata": {},
"source": [
"**举例B：不同组设计的指标比较**"
]
},
{
"cell_type": "markdown",
"id": "e5b8c378-2c22-4abb-a656-3e4ea3d08837",
"metadata": {},
"source": [
"假设目前我们有两种设计方法，我们想比对这两种方法设计得到的序列或其他特征分布的比较。"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "866057cb-7d7f-481b-8a26-ae63f9354327",
"metadata": {},
"outputs": [],
"source": [
"# 读取两组不同方法设计得到的计算结果: (这里为了方便，假装不一样吧。。)\n",
"silent_file = './data/design_result.silent'\n",
"method1_df = parse_rosetta_file(silent_file, rules)\n",
"method1_df = rs.utils.add_column(method1_df, 'design_method', 'fastdesign')\n",
"\n",
"method2_df = parse_rosetta_file(silent_file, rules)\n",
"method2_df = rs.utils.add_column(method2_df, 'design_method', 'random')\n",
"\n",
"# 合并df;\n",
"new_df = pd.concat([method1_df, method2_df], ignore_index=False)"
]
},
{
"cell_type": "markdown",
"id": "597f1dac-e648-4bdd-a287-b8b6249f294e",
"metadata": {},
"source": [
"开始作图比较:"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "9a78858b-385f-46cb-91dc-1dde59d75e14",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 3600x1800 with 6 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 选取需要比较的metrics;\n",
"values = list(raw_df.columns)[:6]\n",
"\n",
"# 定义图表\n",
"fig = plt.figure(figsize=(12, 6))\n",
"grid = [2, 3] # 第一个数值代表行数量，第二个数值代表列数量，共计可放入2x6项score。\n",
"\n",
"# 制图\n",
"axes = rs.plot.multiple_distributions(df=new_df, fig=fig, grid=grid, values=values, x='design_method', hue='design_method',)\n",
"\n",
"# 展示\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "9bb76ddc-75cc-4425-9d0b-0231a38a0c21",
"metadata": {},
"source": [
"除了从两个silent文件中读取dataframe，比较分布也可以从不同的df_selection子集中进行添加标签与合并数据:"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "85ce9212-d13c-4b3e-b1ad-4b7e82392c7d",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 3600x1800 with 6 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 从选择语句:\n",
"df_selection4\n",
"df_selection4 = rs.utils.add_column(df_selection4, 'rank', 'worst')\n",
"\n",
"df_selection5\n",
"df_selection5 = rs.utils.add_column(df_selection5, 'rank', 'best')\n",
"\n",
"# 合并df;\n",
"new_df2 = pd.concat([df_selection4, df_selection5], ignore_index=False)\n",
"\n",
"# 选取需要比较的metrics;\n",
"values = list(raw_df.columns)[:6]\n",
"\n",
"# 定义图表\n",
"fig = plt.figure(figsize=(12, 6))\n",
"grid = [2, 3] # 第一个数值代表行数量，第二个数值代表列数量，共计可放入2x3项score。\n",
"\n",
"# 制图\n",
"axes = rs.plot.multiple_distributions(df=new_df2, fig=fig, grid=grid, values=values, x='rank', hue='rank',)\n",
"\n",
"# 展示\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "489710d9-c0ff-4ab5-ad4a-cc2b5a358836",
"metadata": {},
"source": [
"更多API参考链接: http://jaumebonet.cat/RosettaSilentToolbox/api.html"
]
},
{
"cell_type": "markdown",
"id": "679622ea-f0e5-4be9-8b86-cd36da6d8c43",
"metadata": {},
"source": [
"#### 3.4 从silent中分离pdb文件\n",
"通过pyrosetta API，可以结合rstoolbox过滤筛选后的DataFrame信息，分离对应我们需要的PDB结构（无论是做后续的分析还是视觉观察、结构作图等）。"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "814355d5-38fd-4e04-a81e-40e2cde8076a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['EHPC100_job_77_hhh_11.5.10.5.10_20201122032833.pdb', 'EHPC100_job_77_hhh_11.5.10.5.10_20201122032313.pdb', 'EHPC100_job_77_hhh_11.5.10.5.10_20201122032428.pdb', 'EHPC100_job_77_hhh_11.5.10.5.10_20201122032822.pdb', 'EHPC100_job_77_hhh_11.5.10.5.10_20201122032955.pdb']\n"
]
}
],
"source": [
"from pyrosetta.io import poses_from_silent\n",
"\n",
"# 读取silent;\n",
"poses = poses_from_silent(silent_file)\n",
"\n",
"# 按照全面筛选得到data.\n",
"df_selection5\n",
"\n",
"# 获取description列信息:\n",
"selected_pdb_list = list(df_selection5['description'])\n",
"print(selected_pdb_list)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "21b44094-dd54-4866-a018-f5a2138d49aa",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[0mcore.io.silent.SilentFileData: {0} \u001b[0mReading all structures from ./data/design_result.silent\n",
"\u001b[0mcore.io.silent: {0} \u001b[0m\u001b[1m[ WARNING ]\u001b[0m Skipping duplicate sequence declaration\n",
"\u001b[0mcore.io.silent: {0} \u001b[0m\u001b[1m[ WARNING ]\u001b[0m Skipping duplicate sequence declaration\n",
"\u001b[0mcore.io.silent: {0} \u001b[0m\u001b[1m[ WARNING ]\u001b[0m Skipping duplicate sequence declaration\n",
"\u001b[0mcore.io.silent: {0} \u001b[0m\u001b[1m[ WARNING ]\u001b[0m Skipping duplicate sequence declaration\n",
"\u001b[0mcore.io.silent: {0} \u001b[0m\u001b[1m[ WARNING ]\u001b[0m Skipping duplicate sequence declaration\n",
"\u001b[0mcore.io.silent: {0} \u001b[0m\u001b[1m[ WARNING ]\u001b[0m Skipping duplicate sequence declaration\n",
"\u001b[0mcore.io.silent: {0} \u001b[0m\u001b[1m[ WARNING ]\u001b[0m Skipping duplicate sequence declaration\n",
"\u001b[0mcore.io.silent: {0} \u001b[0m\u001b[1m[ WARNING ]\u001b[0m Skipping duplicate sequence declaration\n",
"\u001b[0mcore.io.silent: {0} \u001b[0m\u001b[1m[ WARNING ]\u001b[0m Skipping duplicate sequence declaration\n",
"\u001b[0mcore.io.silent.SilentFileData: {0} \u001b[0mFinished reading 10 structures from ./data/design_result.silent\n",
"\u001b[0mcore.chemical.GlobalResidueTypeSet: {0} \u001b[0mFinished initializing fa_standard residue type set. Created 983 residue types\n",
"\u001b[0mcore.chemical.GlobalResidueTypeSet: {0} \u001b[0mTotal time to initialize 0.680736 seconds.\n"
]
}
],
"source": [
"# 分离结构:\n",
"import os\n",
"\n",
"for pose in poses:\n",
" # 获取pose中的description信息;\n",
" description = pose.pdb_info().name()\n",
" if description in selected_pdb_list:\n",
" pose.dump_pdb(os.path.join('./data', description))"
]
},
{
"cell_type": "markdown",
"id": "1f0a00ce-1bac-4c25-9b5c-97c5ed7a2afe",
"metadata": {},
"source": [
"#### 3.5 从df中直接输出Fasta文件"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "185155da-f241-4b1e-9de1-be8a03e19841",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>score</th>\n",
" <th>fa_atr</th>\n",
" <th>fa_rep</th>\n",
" <th>fa_sol</th>\n",
" <th>fa_intra_atr_xover4</th>\n",
" <th>fa_intra_rep_xover4</th>\n",
" <th>fa_intra_sol_xover4</th>\n",
" <th>lk_ball</th>\n",
" <th>lk_ball_iso</th>\n",
" <th>lk_ball_bridge</th>\n",
" <th>...</th>\n",
" <th>nres_sheet</th>\n",
" <th>nres_total</th>\n",
" <th>percent_core</th>\n",
" <th>ss_mismatch_probability</th>\n",
" <th>PHI</th>\n",
" <th>PSI</th>\n",
" <th>SSE</th>\n",
" <th>description</th>\n",
" <th>sequence_A</th>\n",
" <th>rank</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>-111.605</td>\n",
" <td>-241.044</td>\n",
" <td>29.032</td>\n",
" <td>188.744</td>\n",
" <td>-17.360</td>\n",
" <td>7.708</td>\n",
" <td>13.119</td>\n",
" <td>95.556</td>\n",
" <td>-102.038</td>\n",
" <td>-0.335</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.186</td>\n",
" <td>0.335</td>\n",
" <td>0.0,-61.816026473581395,-60.87873427386993,-64.51024770761043,-63.10392233294926,-64.23482012032534,-64.680874248356,-60.66961314351576,-71.64463978334865,-63.24105965575744,-68.51336264921207,-87.40874592621869,52.85547148280792,-66.37135130048894,-159.28162388186527,-72.04898204335726,-91.23362478670171,-59.19866149020611,-70.40617266813769,-69.41468304560698,-64.35874575364411,-63.02918602763617,-61.24466252896299,-60.56573364691166,-66.43755382418904,-72.25860023352529,-66.28395963794418,-87.08050049367311,54.3695702401474,-99.04581680264154,-104.37947103434662,50.59528408561853,-68.21538426658607,-67.12484362281268,-66.47994182018405,-61.428431832870345,-66.59170804313756,-66.229930924608,-62.46970952055127,-62.91998644731243,-66.55357012253441,-64.34196161315106,104.4673399414333</td>\n",
" <td>115.99844970876589,-37.54483533122744,-43.79033726430612,-42.33399027064176,-39.63509633907059,-46.13586564515068,-39.62586069732336,-40.02115810065967,-43.597573295722896,-31.508669700612042,-13.493978955523716,-4.813174407090667,58.97031925478837,-22.27680664176824,177.99664528032784,-10.477330060180872,1.265725177997705,-27.14115361849895,-30.681013517424013,-32.61183114514764,-46.83765846926104,-42.68357484593599,-46.187160289435205,-47.060519436449425,-30.670942054519475,-51.41204082569745,-34.63503503189473,3.9149217565832197,43.50019502443131,-34.696627768614924,-22.945302628210737,-123.52096880255584,-21.947745499194514,-51.95328061082064,-35.67083657211858,-47.92772919130619,-42.27368173394641,-45.14734723283217,-41.7848860485962,-40.029111067566824,-38.54908540192382,-41.05432821808837,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032833.pdb</td>\n",
" <td>TEVEEILKRAAKKPDHKFREIFRELIERNLANELAKQILKELG</td>\n",
" <td>best</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>-111.579</td>\n",
" <td>-239.381</td>\n",
" <td>25.203</td>\n",
" <td>188.087</td>\n",
" <td>-15.924</td>\n",
" <td>10.248</td>\n",
" <td>12.333</td>\n",
" <td>102.075</td>\n",
" <td>-103.115</td>\n",
" <td>-0.478</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.349</td>\n",
" <td>0.267</td>\n",
" <td>0.0,-64.3519467853161,-63.418086930463815,-65.56673176992616,-62.937028353387916,-64.84600479810152,-60.46768276861964,-64.99142204050862,-59.049636840404,-63.18631177283314,-58.85645964636771,-64.35015465192834,-97.54005666361657,-52.86373021885636,100.75694461007625,-71.36374889851632,-72.82703291356235,-61.32485242033397,-64.54206754213402,-64.50010229369639,-64.6732629210743,-57.12234914566474,-61.09981426241765,-64.47279134871839,-62.10672300145529,-66.14427121037937,-66.00261452846901,-68.06192326827916,-69.68543652922278,91.85104777792408,-81.18992895090004,-109.41994732519733,-61.87846575537298,-61.974640237969076,-65.06401434230709,-62.69618238650833,-58.63360441093861,-57.32725924615807,-58.089019700406446,-63.92901632178451,-78.36838629831337,-67.86420289769583,-89.24805136111644</td>\n",
" <td>135.29049056466624,-44.3565372650317,-39.44213431209112,-39.813270032614355,-44.34201877339164,-43.534511504796356,-41.92051977907319,-40.62558720133791,-44.1940958663573,-43.6038936284092,-48.88955537867602,-34.80524214505524,18.73689667446474,134.23485792624905,-14.193883138670655,156.87051590470855,163.20839740726998,-37.125238128619756,-41.06313289927764,-43.28759722099899,-41.801725412414605,-48.76218444761745,-43.068821843732735,-40.55155304541878,-38.54489931440367,-36.85904541676932,-35.12446892323645,125.3914543230007,145.65503193618588,-8.208151559667714,126.69306929503253,-174.3708053732862,-38.44431561898169,-46.07858141526455,-37.39032838784732,-45.66377989383726,-40.39137357798858,-48.76846703504008,-38.57259568994066,-33.276471026442586,-34.93916532435953,-38.69601513404585,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032313.pdb</td>\n",
" <td>SVEEIVKKMIKKASGASREQIKKLAEKIPGVDERVIKMAERLI</td>\n",
" <td>best</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>-107.145</td>\n",
" <td>-245.738</td>\n",
" <td>23.800</td>\n",
" <td>223.426</td>\n",
" <td>-17.090</td>\n",
" <td>6.658</td>\n",
" <td>15.022</td>\n",
" <td>112.316</td>\n",
" <td>-111.729</td>\n",
" <td>-0.325</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.163</td>\n",
" <td>0.281</td>\n",
" <td>0.0,-65.67988795578451,-63.810354341309825,-66.02631367384691,-62.52707616603043,-63.14156238435789,-57.622158107998445,-67.00528688950165,-62.262488202654865,-56.67415089889363,-75.70994045838138,-57.82533593806999,-59.59509360861571,-107.55320642586815,-158.6619894605935,-60.21877818562311,-77.72389500225836,-66.73588150093684,-58.28927125331593,-63.51405894541939,-64.2112927310839,-69.99061840234413,-63.167751675530006,-61.341939555083336,-62.479825943586405,-64.86060162547874,-66.09188262454094,-74.38667346389701,76.63920879829728,-63.18352223795158,-159.69209623128305,-71.53124764266492,-68.15041659663433,-67.36767207528698,-69.8458102064516,-66.3839607671189,-61.57783095416169,-62.74107723116324,-63.47241380519334,-64.46457303636892,-76.13233073851131,-73.17889096830872,-78.7192332015827</td>\n",
" <td>169.09647837628498,-38.48610986516323,-37.445295306603136,-40.034129454495364,-41.834791793462465,-41.06188007692538,-51.58163334308966,-34.94163317775788,-44.66379813137101,-38.533143540345364,-45.42500838170542,-36.897986758152186,-23.396858595182916,-35.92803772141464,95.48536968252863,-25.673874565266583,-37.54831860695169,-38.97888818191979,-41.1154614010036,-41.7877290810818,-41.08227751004935,-32.58560008045613,-40.321241605636544,-43.801834336452735,-41.654211107244144,-48.31989573685587,-34.35399011170958,-7.225226659148367,25.0225457801468,-48.73117370127896,160.46243708095133,162.4646737504978,-26.420342328218975,-42.254404777018586,-41.76209955541568,-38.34376695162168,-43.453214025532574,-41.121342661767876,-38.10191093818169,-37.77791301457546,-35.21126264156708,-38.34464722698572,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032428.pdb</td>\n",
" <td>SEEEKEFLKRVKDKDPELAKKMQKLLENGYASIEQLQKQLEKR</td>\n",
" <td>best</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>-104.212</td>\n",
" <td>-233.769</td>\n",
" <td>22.690</td>\n",
" <td>224.682</td>\n",
" <td>-19.032</td>\n",
" <td>7.830</td>\n",
" <td>17.118</td>\n",
" <td>105.340</td>\n",
" <td>-107.677</td>\n",
" <td>-0.330</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.163</td>\n",
" <td>0.334</td>\n",
" <td>0.0,-54.55716758878108,-60.24671925133987,-60.96339544115801,-60.4675875865348,-65.77193234772929,-63.55634861036867,-65.2463797731284,-62.50391995000622,-63.22152662835138,-64.12082980279126,-60.019510478858145,-83.12438915418637,58.74835726165174,-96.7981056833779,-137.85384467753593,-66.3124475793145,-66.15849001928508,-59.9076502864336,-64.3169028034401,-76.79331549477475,-66.36850353169604,-68.16591033137897,-64.04728039289955,-61.70678618814965,-63.609803242619186,-65.94857491469905,-82.15981537380956,54.80929852805371,63.573395064002774,-73.04058179696266,-100.49654188783236,-59.99847576735693,-64.14260214702321,-64.89686513161355,-68.97927149490033,-58.905041199309586,-63.52492336847542,-60.74298066505938,-71.18874876998304,-63.4746892769842,-59.87672154381264,104.91421937347923</td>\n",
" <td>162.466560504179,-34.371169669132804,-48.198721119432335,-44.746258974755015,-41.58444350400652,-44.175525554528924,-40.431811999497974,-45.50860646436511,-39.02126456509508,-39.202897049339164,-46.86641819406775,-35.31366694139388,1.0583826778749952,42.434925560250385,-9.48288859027419,152.04987206388313,150.80409295854002,-14.525527849873443,-29.266363669273485,-30.398676915398468,-35.677547225261804,-39.83633257978659,-37.358933341260766,-45.122994051902474,-45.49768997278267,-50.004448638381334,-34.320891167795246,-1.2759854872937306,44.098749022055536,19.181033426575183,-38.37219849376893,15.606161452197789,-38.24378966839477,-39.36839166390034,-41.2411702671999,-45.793755546932815,-43.14053151466278,-43.815162619659574,-39.80814871403034,-36.98126239102244,-42.777828401291885,-41.08526266485512,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032822.pdb</td>\n",
" <td>DPKTEELIKQYQRKERSEEMMEELRKKANNRNKEMIKKARKDG</td>\n",
" <td>best</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>-99.049</td>\n",
" <td>-240.205</td>\n",
" <td>23.017</td>\n",
" <td>218.837</td>\n",
" <td>-17.455</td>\n",
" <td>6.648</td>\n",
" <td>16.604</td>\n",
" <td>109.615</td>\n",
" <td>-109.807</td>\n",
" <td>-0.414</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" <td>0.279</td>\n",
" <td>0.275</td>\n",
" <td>0.0,-64.0487359118943,-69.69104607827998,-61.32384411097726,-62.316170158356016,-60.94259923238814,-63.14942364428239,-62.10751237754549,-62.23635579091567,-67.79393522723588,-67.30264243643552,-75.58324111263224,-70.17633470937064,-72.37674482389288,-96.35816108479204,-88.32445184168974,-128.1497200942804,-64.11788841385271,-58.5515355621417,-64.59986106202211,-62.604239688873925,-62.35188106160262,-61.03252802587855,-66.81474002031639,-65.98858419729268,-79.24528850470969,-67.7229091745369,-101.72399468575834,-77.61431535481827,-64.53081199307239,-57.304811091192086,-54.71748629994325,-67.85111585098318,-83.14762414240734,-66.18775915739461,-63.62534372613044,-60.39420097192371,-56.75266710610848,-65.19042031492202,-59.02636279350242,-64.9602074846891,-67.76554881186445,-53.10341749547002</td>\n",
" <td>179.99932169695205,-37.016486662352094,-41.47630395662156,-40.03030656890961,-39.56292271313878,-43.38610646529196,-40.96371913397039,-44.21868303816494,-40.58901651385193,-40.99133170661388,-37.51278143834419,-43.982415527758825,139.10487165398837,-10.323620520779322,-4.799437836543055,156.37941986362603,159.37891113067573,-31.029282653163424,-43.24960993315491,-40.19749163258058,-45.053573671948094,-40.1418523683894,-40.0845007678448,-39.738177637595804,-35.183828082290965,-37.66835459458902,-44.69273313376687,144.888762214947,-12.15119120213544,113.68605589268499,-23.632059907604464,-33.84497063726042,-34.23792356033179,-32.29024893858771,-37.36357065360846,-45.28548026384168,-40.55544530300989,-51.823455234278185,-37.526876634262045,-48.16444199700557,-38.89715626752906,-37.274510720964294,0.0</td>\n",
" <td>LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLHHHHHHHHHHHHL</td>\n",
" <td>EHPC100_job_77_hhh_11.5.10.5.10_20201122032955.pdb</td>\n",
" <td>SEIEERLEKLARSETGTEEQMRQLAKKYEDPSAREFLKRYREK</td>\n",
" <td>best</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 62 columns</p>\n",
"</div>"
],
"text/plain": [
" score fa_atr fa_rep fa_sol fa_intra_atr_xover4 \\\n",
"7 -111.605 -241.044 29.032 188.744 -17.360 \n",
"1 -111.579 -239.381 25.203 188.087 -15.924 \n",
"2 -107.145 -245.738 23.800 223.426 -17.090 \n",
"6 -104.212 -233.769 22.690 224.682 -19.032 \n",
"9 -99.049 -240.205 23.017 218.837 -17.455 \n",
"\n",
" fa_intra_rep_xover4 fa_intra_sol_xover4 lk_ball lk_ball_iso \\\n",
"7 7.708 13.119 95.556 -102.038 \n",
"1 10.248 12.333 102.075 -103.115 \n",
"2 6.658 15.022 112.316 -111.729 \n",
"6 7.830 17.118 105.340 -107.677 \n",
"9 6.648 16.604 109.615 -109.807 \n",
"\n",
" lk_ball_bridge ... nres_sheet nres_total percent_core \\\n",
"7 -0.335 ... 0.0 43.0 0.186 \n",
"1 -0.478 ... 0.0 43.0 0.349 \n",
"2 -0.325 ... 0.0 43.0 0.163 \n",
"6 -0.330 ... 0.0 43.0 0.163 \n",
"9 -0.414 ... 0.0 43.0 0.279 \n",
"\n",
" ss_mismatch_probability \\\n",
"7 0.335 \n",
"1 0.267 \n",
"2 0.281 \n",
"6 0.334 \n",
"9 0.275 \n",
"\n",
" PHI \\\n",
"7 0.0,-61.816026473581395,-60.87873427386993,-64.51024770761043,-63.10392233294926,-64.23482012032534,-64.680874248356,-60.66961314351576,-71.64463978334865,-63.24105965575744,-68.51336264921207,-87.40874592621869,52.85547148280792,-66.37135130048894,-159.28162388186527,-72.04898204335726,-91.23362478670171,-59.19866149020611,-70.40617266813769,-69.41468304560698,-64.35874575364411,-63.02918602763617,-61.24466252896299,-60.56573364691166,-66.43755382418904,-72.25860023352529,-66.28395963794418,-87.08050049367311,54.3695702401474,-99.04581680264154,-104.37947103434662,50.59528408561853,-68.21538426658607,-67.12484362281268,-66.47994182018405,-61.428431832870345,-66.59170804313756,-66.229930924608,-62.46970952055127,-62.91998644731243,-66.55357012253441,-64.34196161315106,104.4673399414333 \n",
"1 0.0,-64.3519467853161,-63.418086930463815,-65.56673176992616,-62.937028353387916,-64.84600479810152,-60.46768276861964,-64.99142204050862,-59.049636840404,-63.18631177283314,-58.85645964636771,-64.35015465192834,-97.54005666361657,-52.86373021885636,100.75694461007625,-71.36374889851632,-72.82703291356235,-61.32485242033397,-64.54206754213402,-64.50010229369639,-64.6732629210743,-57.12234914566474,-61.09981426241765,-64.47279134871839,-62.10672300145529,-66.14427121037937,-66.00261452846901,-68.06192326827916,-69.68543652922278,91.85104777792408,-81.18992895090004,-109.41994732519733,-61.87846575537298,-61.974640237969076,-65.06401434230709,-62.69618238650833,-58.63360441093861,-57.32725924615807,-58.089019700406446,-63.92901632178451,-78.36838629831337,-67.86420289769583,-89.24805136111644 \n",
"2 0.0,-65.67988795578451,-63.810354341309825,-66.02631367384691,-62.52707616603043,-63.14156238435789,-57.622158107998445,-67.00528688950165,-62.262488202654865,-56.67415089889363,-75.70994045838138,-57.82533593806999,-59.59509360861571,-107.55320642586815,-158.6619894605935,-60.21877818562311,-77.72389500225836,-66.73588150093684,-58.28927125331593,-63.51405894541939,-64.2112927310839,-69.99061840234413,-63.167751675530006,-61.341939555083336,-62.479825943586405,-64.86060162547874,-66.09188262454094,-74.38667346389701,76.63920879829728,-63.18352223795158,-159.69209623128305,-71.53124764266492,-68.15041659663433,-67.36767207528698,-69.8458102064516,-66.3839607671189,-61.57783095416169,-62.74107723116324,-63.47241380519334,-64.46457303636892,-76.13233073851131,-73.17889096830872,-78.7192332015827 \n",
"6 0.0,-54.55716758878108,-60.24671925133987,-60.96339544115801,-60.4675875865348,-65.77193234772929,-63.55634861036867,-65.2463797731284,-62.50391995000622,-63.22152662835138,-64.12082980279126,-60.019510478858145,-83.12438915418637,58.74835726165174,-96.7981056833779,-137.85384467753593,-66.3124475793145,-66.15849001928508,-59.9076502864336,-64.3169028034401,-76.79331549477475,-66.36850353169604,-68.16591033137897,-64.04728039289955,-61.70678618814965,-63.609803242619186,-65.94857491469905,-82.15981537380956,54.80929852805371,63.573395064002774,-73.04058179696266,-100.49654188783236,-59.99847576735693,-64.14260214702321,-64.89686513161355,-68.97927149490033,-58.905041199309586,-63.52492336847542,-60.74298066505938,-71.18874876998304,-63.4746892769842,-59.87672154381264,104.91421937347923 \n",
"9 0.0,-64.0487359118943,-69.69104607827998,-61.32384411097726,-62.316170158356016,-60.94259923238814,-63.14942364428239,-62.10751237754549,-62.23635579091567,-67.79393522723588,-67.30264243643552,-75.58324111263224,-70.17633470937064,-72.37674482389288,-96.35816108479204,-88.32445184168974,-128.1497200942804,-64.11788841385271,-58.5515355621417,-64.59986106202211,-62.604239688873925,-62.35188106160262,-61.03252802587855,-66.81474002031639,-65.98858419729268,-79.24528850470969,-67.7229091745369,-101.72399468575834,-77.61431535481827,-64.53081199307239,-57.304811091192086,-54.71748629994325,-67.85111585098318,-83.14762414240734,-66.18775915739461,-63.62534372613044,-60.39420097192371,-56.75266710610848,-65.19042031492202,-59.02636279350242,-64.9602074846891,-67.76554881186445,-53.10341749547002 \n",
"\n",
" PSI \\\n",
"7 115.99844970876589,-37.54483533122744,-43.79033726430612,-42.33399027064176,-39.63509633907059,-46.13586564515068,-39.62586069732336,-40.02115810065967,-43.597573295722896,-31.508669700612042,-13.493978955523716,-4.813174407090667,58.97031925478837,-22.27680664176824,177.99664528032784,-10.477330060180872,1.265725177997705,-27.14115361849895,-30.681013517424013,-32.61183114514764,-46.83765846926104,-42.68357484593599,-46.187160289435205,-47.060519436449425,-30.670942054519475,-51.41204082569745,-34.63503503189473,3.9149217565832197,43.50019502443131,-34.696627768614924,-22.945302628210737,-123.52096880255584,-21.947745499194514,-51.95328061082064,-35.67083657211858,-47.92772919130619,-42.27368173394641,-45.14734723283217,-41.7848860485962,-40.029111067566824,-38.54908540192382,-41.05432821808837,0.0 \n",
"1 135.29049056466624,-44.3565372650317,-39.44213431209112,-39.813270032614355,-44.34201877339164,-43.534511504796356,-41.92051977907319,-40.62558720133791,-44.1940958663573,-43.6038936284092,-48.88955537867602,-34.80524214505524,18.73689667446474,134.23485792624905,-14.193883138670655,156.87051590470855,163.20839740726998,-37.125238128619756,-41.06313289927764,-43.28759722099899,-41.801725412414605,-48.76218444761745,-43.068821843732735,-40.55155304541878,-38.54489931440367,-36.85904541676932,-35.12446892323645,125.3914543230007,145.65503193618588,-8.208151559667714,126.69306929503253,-174.3708053732862,-38.44431561898169,-46.07858141526455,-37.39032838784732,-45.66377989383726,-40.39137357798858,-48.76846703504008,-38.57259568994066,-33.276471026442586,-34.93916532435953,-38.69601513404585,0.0 \n",
"2 169.09647837628498,-38.48610986516323,-37.445295306603136,-40.034129454495364,-41.834791793462465,-41.06188007692538,-51.58163334308966,-34.94163317775788,-44.66379813137101,-38.533143540345364,-45.42500838170542,-36.897986758152186,-23.396858595182916,-35.92803772141464,95.48536968252863,-25.673874565266583,-37.54831860695169,-38.97888818191979,-41.1154614010036,-41.7877290810818,-41.08227751004935,-32.58560008045613,-40.321241605636544,-43.801834336452735,-41.654211107244144,-48.31989573685587,-34.35399011170958,-7.225226659148367,25.0225457801468,-48.73117370127896,160.46243708095133,162.4646737504978,-26.420342328218975,-42.254404777018586,-41.76209955541568,-38.34376695162168,-43.453214025532574,-41.121342661767876,-38.10191093818169,-37.77791301457546,-35.21126264156708,-38.34464722698572,0.0 \n",
"6 162.466560504179,-34.371169669132804,-48.198721119432335,-44.746258974755015,-41.58444350400652,-44.175525554528924,-40.431811999497974,-45.50860646436511,-39.02126456509508,-39.202897049339164,-46.86641819406775,-35.31366694139388,1.0583826778749952,42.434925560250385,-9.48288859027419,152.04987206388313,150.80409295854002,-14.525527849873443,-29.266363669273485,-30.398676915398468,-35.677547225261804,-39.83633257978659,-37.358933341260766,-45.122994051902474,-45.49768997278267,-50.004448638381334,-34.320891167795246,-1.2759854872937306,44.098749022055536,19.181033426575183,-38.37219849376893,15.606161452197789,-38.24378966839477,-39.36839166390034,-41.2411702671999,-45.793755546932815,-43.14053151466278,-43.815162619659574,-39.80814871403034,-36.98126239102244,-42.777828401291885,-41.08526266485512,0.0 \n",
"9 179.99932169695205,-37.016486662352094,-41.47630395662156,-40.03030656890961,-39.56292271313878,-43.38610646529196,-40.96371913397039,-44.21868303816494,-40.58901651385193,-40.99133170661388,-37.51278143834419,-43.982415527758825,139.10487165398837,-10.323620520779322,-4.799437836543055,156.37941986362603,159.37891113067573,-31.029282653163424,-43.24960993315491,-40.19749163258058,-45.053573671948094,-40.1418523683894,-40.0845007678448,-39.738177637595804,-35.183828082290965,-37.66835459458902,-44.69273313376687,144.888762214947,-12.15119120213544,113.68605589268499,-23.632059907604464,-33.84497063726042,-34.23792356033179,-32.29024893858771,-37.36357065360846,-45.28548026384168,-40.55544530300989,-51.823455234278185,-37.526876634262045,-48.16444199700557,-38.89715626752906,-37.274510720964294,0.0 \n",
"\n",
" SSE \\\n",
"7 LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"1 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"2 LHHHHHHHHHHHLLLHHHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"6 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLLLHHHHHHHHHHL \n",
"9 LHHHHHHHHHHHLLLLLHHHHHHHHHHLLLHHHHHHHHHHHHL \n",
"\n",
" description \\\n",
"7 EHPC100_job_77_hhh_11.5.10.5.10_20201122032833.pdb \n",
"1 EHPC100_job_77_hhh_11.5.10.5.10_20201122032313.pdb \n",
"2 EHPC100_job_77_hhh_11.5.10.5.10_20201122032428.pdb \n",
"6 EHPC100_job_77_hhh_11.5.10.5.10_20201122032822.pdb \n",
"9 EHPC100_job_77_hhh_11.5.10.5.10_20201122032955.pdb \n",
"\n",
" sequence_A rank \n",
"7 TEVEEILKRAAKKPDHKFREIFRELIERNLANELAKQILKELG best \n",
"1 SVEEIVKKMIKKASGASREQIKKLAEKIPGVDERVIKMAERLI best \n",
"2 SEEEKEFLKRVKDKDPELAKKMQKLLENGYASIEQLQKQLEKR best \n",
"6 DPKTEELIKQYQRKERSEEMMEELRKKANNRNKEMIKKARKDG best \n",
"9 SEIEERLEKLARSETGTEEQMRQLAKKYEDPSAREFLKRYREK best \n",
"\n",
"[5 rows x 62 columns]"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from rstoolbox.io import read_fasta, write_fasta\n",
"df_selection5"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "f7dd4331-7322-4be9-8305-17ba0811ed13",
"metadata": {},
"outputs": [],
"source": [
"# 保存至Fasta文件中:\n",
"content = write_fasta(df_selection5, \"A\")\n",
"with open('./data/design_decoy.fasta', 'w') as f:\n",
" f.write(content)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3f96fcba-84d0-4752-98c8-d43d5fb7121a",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}