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    "Before you turn this problem in, make sure everything runs as expected. First, **restart the kernel** (in the menubar, select Kernel$\\rightarrow$Restart) and then **run all cells** (in the menubar, select Cell$\\rightarrow$Run All).\n",
    "\n",
    "Make sure you fill in any place that says `YOUR CODE HERE` or \"YOUR ANSWER HERE\", as well as your name and collaborators below:"
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    "---"
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    "<!--NOTEBOOK_HEADER-->\n",
    "*This notebook contains material from [PyRosetta](https://RosettaCommons.github.io/PyRosetta);\n",
    "content is available [on Github](https://github.com/RosettaCommons/PyRosetta.notebooks.git).*"
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    "<!--NAVIGATION-->\n",
    "< [Refinement Protocol](http://nbviewer.jupyter.org/github/RosettaCommons/PyRosetta.notebooks/blob/master/notebooks/05.02-Refinement-Protocol.ipynb) | [Contents](toc.ipynb) | [Index](index.ipynb) | [Side Chain Conformations and Dunbrack Energies](http://nbviewer.jupyter.org/github/RosettaCommons/PyRosetta.notebooks/blob/master/notebooks/06.01-Side-Chain-Conformations-and-Dunbrack-Energies.ipynb) ><p><a href=\"https://colab.research.google.com/github/RosettaCommons/PyRosetta.notebooks/blob/master/notebooks/06.00-Introduction-to-Packing-and-Design.ipynb\"><img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\" title=\"Open in Google Colaboratory\"></a>"
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    "# Packing & Design\n",
    "\n",
    "Rosetta uses a Monte Carlo optimization routine to pack side chains using a library of conformations, or rotamers. This operation can be used for side-chain packing for operations like refinement or for designing optimal sequences. This workshop will examine both capabilities.\n",
    "\n",
    "We will also cover many more ways to do protein design within Rosetta including parametric, denovo, and hydrogen-bond based design.  All of these can be useful tools for protein engineering.  \n",
    "\n",
    "### Suggested readings\n",
    "1. J. Desmet et al., “The dead-end elimination theorem and its use in protein side-chain positioning,” *Nature* 356, 539-543 (1992).\n",
    "2. B. Kuhlman & D. Baker, “Native protein structures are close to optimal for their structures,” *PNAS* 97, 10383, 2000.\n",
    "3. Denovo paper\n",
    "4. HbNet\n",
    "5. Andrew's packing paper\n",
    "6. Denovo design\n",
    "7. Parametric design paper"
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