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

molecule-evolution-agent

Maintainer FreedomIntelligence · Last updated April 1, 2026

Directed molecular evolution: generative models for compound optimization and library design.

OpenClawNanoClawAnalysisReproductionmolecule-evolution-agent🧠 bioos extended suitedrug discovery & designdirected

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/molecule-evolution-agent

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • The Molecule Evolution Agent acts as an autonomous medicinal chemist. It takes a starting molecule (or uses a default like Aspirin) and iteratively modifies its structure to optimize binding for a specific protein target.
  • Lead Optimization: When you have a hit molecule and want to improve its potency.
  • De Novo Design: To explore chemical space around a target protein.
  • Idea Generation: To get creative structural modifications suggested by an LLM.
  • Lead Optimization: When you have a hit molecule and want to improve its potency. De Novo Design: To explore chemical space around a target protein. * Idea Generation: To get creative structural modifications suggested by an LLM.

Source Doc

Excerpt From SKILL.md

Core Capabilities

  1. SMILES Manipulation: Reads and writes chemical structures in SMILES format.
  2. LLM Chemist: Uses an LLM to suggest chemically valid modifications (e.g., "Add a fluorine group to the ring").
  3. Mock Scoring: (Currently) Uses a mock scoring function to simulate docking affinity.

Workflow

  1. Input: Target Protein Name (e.g., "GPRC5D").
  2. Process:
    • Start with a seed molecule.
    • Loop for N generations.
    • Ask LLM for a modification.
    • Score the new molecule.
    • Keep the best candidate.
  3. Output: Top candidate SMILES and the evolution history.

Example Usage

User: "Design a better binder for GPRC5D."

Agent Action:

python3 Skills/Drug_Discovery/Molecule_Design/evolution_agent.py

Use cases

  • **Lead Optimi.

Not for

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

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