Data & ReproDrug Discovery & CheminformaticsFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction
AG

agentd-drug-discovery

Maintainer FreedomIntelligence · Last updated April 1, 2026

AgentD autonomous drug discovery: target identification, hit finding, ADMET optimization.

OpenClawNanoClawAnalysisReproductionagentd-drug-discovery🧠 bioos extended suitedrug discovery & designagentd

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/agentd-drug-discovery

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • description (10-20 chars): Hypothesis foundry.
  • keywords: ligand-design, SAR, ADMET, docking, ranking.
  • measurable_outcome: Generate ≥10 candidate molecules (or requested count) with SMILES, key properties, and rationales per run, all delivered within 15 minutes.
  • description (10-20 chars): Hypothesis foundry keywords: ligand-design, SAR, ADMET, docking, ranking measurable_outcome: Generate ≥10 candidate molecules (or requested count) with SMILES, key properties, and rationales per run, all delivered within 15 minutes.
  • target_protein, optional reference_compound, disease indication.

Source Doc

Excerpt From SKILL.md

Outputs

  1. Ranked candidate list with SMILES + property scores + novelty metrics.
  2. ADMET/toxicity alerts and SAR rationale per molecule.
  3. Reproducibility manifest (data source versions, model checkpoints).

Workflow

  1. Evidence retrieval: Mine literature + databases for known ligands and liabilities.
  2. Generate candidates: Run AgentD generative step (scaffold hopping/fragment growth) aligned to constraints.
  3. Score & filter: Apply Lipinski/QED/ADMET heuristics; include docking setup when requested.
  4. Rank & explain: Combine efficacy, developability, novelty; summarize SAR learnings.
  5. Deliver outputs: Emit JSON/CSV plus narrative recommendations; mark as in silico.

Guardrails

  • Clearly state outputs are hypothetical and need wet-lab validation.
  • Flag PAINS/reactive motifs automatically.
  • Record data/model versions for audit trails.

Use cases

  • Use agentd-drug-discovery for medicinal chemistry and drug-discovery work.
  • Apply agentd-drug-discovery to compound, target, or screening workflows.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

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