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Molecule Evolution Agent

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--> --- name: 'molecule-evolution-agent' description: 'Evolve Molecules' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- 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.

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  • Added May 31, 2026
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Scanned May 31, 2026

npx -y skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill molecule-evolution-agent --agent claude-code

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SKILL.md
<!--
# COPYRIGHT NOTICE
# This file is part of the "Universal Biomedical Skills" project.
# Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
# All Rights Reserved.
#
# This code is proprietary and confidential.
# Unauthorized copying of this file, via any medium is strictly prohibited.
#
# Provenance: Authenticated by MD BABU MIA

-->

---
name: 'molecule-evolution-agent'
description: 'Evolve Molecules'
measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes.
allowed-tools:
  - read_file
  - run_shell_command
---


# Molecule Evolution Agent

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.

## When to Use This Skill

*   **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.

## 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**:
```bash
python3 Skills/Drug_Discovery/Molecule_Design/evolution_agent.py
# (Note: The script currently defaults to GPRC5D, but can be extended for arguments)
```


<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->

Files in this skill

  • SKILL.md2 KB
  • evolution_agent.py2.4 KB
  • skill.yaml638 B

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