skillZs
★ LIVE SKILL TAGS ★
>>> LIVE SKILLS INDEX <<<
* OPEN SOURCE *
NO LOGIN, NO TRACKING
※ REAL INSTALL DATA ※
← back to all skills
wentorai/research-plugins166 installs

cactus-cheminformatics-guide

PNNL cheminformatics LLM agent for molecular analysis

How do I install this agent skill?

npx skills add https://github.com/wentorai/research-plugins --skill chemistry-skills
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill provides a collection of computational chemistry tools and guides. The main security concern is the potential for indirect prompt injection when processing external scientific literature, which is a common risk for AI agents designed to extract information from untrusted data sources.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

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

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

# 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

# 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

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/wentorai/research-plugins/chemistry-skills">View cactus-cheminformatics-guide on skillZs</a>