SkillHub

pharmaclaw-tox-agent

v1.0.0

Toxicology Agent for pharma drug safety profiling from SMILES. Computes RDKit ADMET descriptors (logP, TPSA, MW, HBD, HBA, rotatable bonds), Lipinski Rule of Five violations, Veber rule checks, QED drug-likeness score, and PAINS substructure alerts. Outputs risk classification (Low/Medium/High) with...

Sourced from ClawHub, Authored by Cheminem

Installation

Please help me install the skill `pharmaclaw-tox-agent` from SkillHub official store. npx skills add Cheminem/pharmaclaw-tox-agent

PharmaClaw Toxicology Agent

Overview

Predictive toxicology and drug safety profiling agent for the PharmaClaw pipeline. Screens drug candidates via RDKit descriptors, rule-based filters (Lipinski Ro5, Veber), QED scoring, and PAINS alerts to flag safety risks early in the discovery process.

Quick Start

# Analyze a compound
python scripts/tox_agent.py "CC(=O)Nc1ccc(O)cc1"

# Default (ethanol)
python scripts/tox_agent.py

Capabilities

Check Method Threshold
Lipinski Ro5 MW, LogP, HBD, HBA MW>500, LogP>5, HBD>5, HBA>10
Veber Rules TPSA, Rotatable Bonds TPSA>140, RotB>10
QED Score RDKit QED module 0-1 (higher = more drug-like)
PAINS Alerts Substructure matching Known assay interference patterns
Ring Analysis Aromatic/total ring count Complexity indicator

Decision Tree

  • SMILES input → RDKit descriptor calculation → Rule-based screening
  • Lipinski violations = 0 AND PAINS = 0 → Risk: Low
  • Any violations or PAINS hits → Risk: Medium/High
  • High risk flagged → Recommend analogs via Chemistry Query / IP Expansion

Output Format

{
  "lipinski_viol": 0,
  "veber_viol": 0,
  "qed": 0.737,
  "pains": 0,
  "risk": "Low",
  "props": {
    "mw": 151.2,
    "logp": 1.02,
    "tpsa": 49.3,
    "hbd": 2,
    "hba": 2,
    "rotb": 1,
    "rings": 1,
    "arom": 1
  }
}

Risk Classification

  • Low: No Lipinski violations, no PAINS alerts, QED > 0.5
  • Medium: 1-2 Lipinski violations OR low QED
  • High: 3+ Lipinski violations, PAINS hits, or multiple Veber violations

Chain Integration

  • Receives from: Chemistry Query (SMILES), Pharmacology (ADME flags)
  • Feeds into: IP Expansion (safer derivative suggestions), Synthesis (avoid toxic intermediates)
  • Cross-references: Market Intel (FAERS adverse events for similar structures)

Dependencies

  • rdkit-pypi — Molecular descriptors, QED, substructure matching

Scripts

  • scripts/tox_agent.py — Main agent: ToxAgent class with analyze(smiles) method

Limitations

  • PAINS screening uses simplified substructure set (production should use full PAINS catalog)
  • No Ames mutagenicity or hERG channel prediction (descriptor-based proxies planned)
  • LD50 estimation not yet implemented (QSAR model planned for future version)