--- name: cactus-cheminformatics-guide description: "PNNL cheminformatics LLM agent for molecular analysis" metadata: openclaw: emoji: "🌵" category: "domains" subcategory: "chemistry" keywords: ["CACTUS", "cheminformatics", "PNNL", "molecular analysis", "LLM chemistry", "chemical agent"] source: "https://github.com/pnnl/cactus" --- # CACTUS Cheminformatics Agent Guide ## Overview CACTUS is a cheminformatics LLM agent developed at Pacific Northwest National Laboratory (PNNL) that provides AI-assisted molecular analysis, property prediction, and chemical reasoning. It wraps RDKit, molecular databases, and ML models behind a conversational interface, enabling researchers to query molecular properties, perform similarity searches, and run cheminformatics workflows using natural language. ## Usage ```python from cactus import ChemAgent agent = ChemAgent(llm_provider="anthropic") # Natural language chemistry queries result = agent.ask( "What is the molecular weight and LogP of aspirin? " "Is it drug-like by Lipinski's rules?" ) print(result.answer) # Aspirin (CC(=O)Oc1ccccc1C(=O)O): # MW: 180.16, LogP: 1.24 # Lipinski: PASS (MW<500, LogP<5, HBD=1≤5, HBA=4≤10) # Molecular property calculation props = agent.calculate_properties( smiles="CC(=O)Oc1ccccc1C(=O)O", properties=["mw", "logp", "tpsa", "hbd", "hba", "rotatable"], ) print(props) ``` ## Similarity Search ```python # Find similar molecules similar = agent.similarity_search( query_smiles="CC(=O)Oc1ccccc1C(=O)O", # Aspirin database="chembl", threshold=0.7, # Tanimoto similarity max_results=10, ) for mol in similar: print(f"{mol.name}: {mol.smiles} " f"(similarity: {mol.tanimoto:.3f})") ``` ## Substructure Analysis ```python # Substructure search matches = agent.substructure_search( pattern="c1ccccc1C(=O)O", # Benzoic acid motif database="drugbank", max_results=20, ) # Functional group identification groups = agent.identify_functional_groups( smiles="CC(=O)Oc1ccccc1C(=O)O" ) # ["ester", "carboxylic_acid", "aromatic_ring"] ``` ## Use Cases 1. **Molecular analysis**: Property calculation via natural language 2. **Drug screening**: Lipinski/Veber rule checking 3. **Similarity search**: Find analogs in chemical databases 4. **Structure analysis**: Substructure and functional group ID 5. **Chemical education**: Interactive chemistry exploration ## References - [CACTUS GitHub](https://github.com/pnnl/cactus) - [RDKit](https://www.rdkit.org/) - [PNNL](https://www.pnnl.gov/)