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pharmaclaw-alphafold-agent

Compliant AlphaFold Agent for protein structure retrieval, ESMFold prediction, binding site detection, and RDKit ligand docking. Fetches public PDB/AlphaFold DB structures, predicts folds via ESMFold (HuggingFace), identifies binding pockets, and performs basic molecular docking. Chains from Chemistry Query (receives SMILES for docking) and feeds into IP Expansion and Catalyst Design. Triggers on alphafold, fold, PDB, docking, structure, protein, binding site, pocket, UniProt, KRAS, target.

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Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install cheminem/pharmaclaw-alphafold-agent

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

PharmaClaw AlphaFold Agent

Overview

Protein structure retrieval and ligand docking agent for the PharmaClaw drug discovery pipeline. Fetches experimental structures from RCSB PDB and predicted structures from AlphaFold DB, detects binding sites, and performs conformer-based docking with RDKit.

Quick Start

# Fetch structure and dock a ligand
python scripts/alphafold_agent.py '{"uniprot": "P01116", "smiles": "CC(=O)Nc1ccc(O)cc1"}'

# Structure retrieval only
python scripts/alphafold_agent.py '{"uniprot": "P01116"}'

Capabilities

Feature Method Source
Structure Fetch RCSB Search API + AlphaFold DB Public PDB files
Fold Prediction ESMFold via HuggingFace Sequence → 3D structure
Binding Sites Pocket detection Residue-level pockets
Ligand Docking RDKit conformer generation SMILES → affinity score

Decision Tree

  • UniProt ID provided? → Fetch from RCSB PDB / AlphaFold DB
  • FASTA sequence provided? → Predict fold via ESMFold
  • SMILES provided? → Dock ligand into detected binding pocket
  • No structure found? → Fall back to ESMFold prediction

Input Format

{
  "uniprot": "P01116",
  "smiles": "CC(=O)Nc1ccc(O)cc1",
  "fasta": "path/to/sequence.fasta"
}

Output Format

{
  "pdb": "1abc.pdb",
  "sites": [{"res": "G12", "pocket_vol": 150}],
  "docking": {"affinity": -15.2, "viz": "docked.png"},
  "compliance": "Public AlphaFold 2 DB/ESMFold (commercial OK)"
}

Chain Integration

  • Receives from: Chemistry Query (SMILES for docking), Literature (target proteins)
  • Feeds into: IP Expansion (novel binding modes), Catalyst Design (structure-guided synthesis)

Dependencies

  • rdkit-pypi — Conformer generation and molecular descriptors
  • biopython — PDB parsing and FASTA sequence handling
  • requests — API calls to RCSB and AlphaFold DB

Compliance

Uses only publicly available protein structures (RCSB PDB, AlphaFold DB) a...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/cheminem/pharmaclaw-alphafold-agent
Version
—
Commit
9913285bde69e3434f973ac7765adda782b2c860
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# PharmaClaw AlphaFold Agent

## Overview
Protein structure retrieval and ligand docking agent for the PharmaClaw drug discovery pipeline. Fetches experimental structures from RCSB PDB and predicted structures from AlphaFold DB, detects binding sites, and performs conformer-based docking with RDKit.

## Quick Start

```bash
# Fetch structure and dock a ligand
python scripts/alphafold_agent.py '{"uniprot": "P01116", "smiles": "CC(=O)Nc1ccc(O)cc1"}'

# Structure retrieval only
python scripts/alphafold_agent.py '{"uniprot": "P01116"}'
```

## Capabilities

| Feature | Method | Source |
|---------|--------|--------|
| Structure Fetch | RCSB Search API + AlphaFold DB | Public PDB files |
| Fold Prediction | ESMFold via HuggingFace | Sequence → 3D structure |
| Binding Sites | Pocket detection | Residue-level pockets |
| Ligand Docking | RDKit conformer generation | SMILES → affinity score |

## Decision Tree
- **UniProt ID provided?** → Fetch from RCSB PDB / AlphaFold DB
- **FASTA sequence provided?** → Predict fold via ESMFold
- **SMILES provided?** → Dock ligand into detected binding pocket
- **No structure found?** → Fall back to ESMFold prediction

## Input Format

```json
{
  "uniprot": "P01116",
  "smiles": "CC(=O)Nc1ccc(O)cc1",
  "fasta": "path/to/sequence.fasta"
}
```

## Output Format

```json
{
  "pdb": "1abc.pdb",
  "sites": [{"res": "G12", "pocket_vol": 150}],
  "docking": {"affinity": -15.2, "viz": "docked.png"},
  "compliance": "Public AlphaFold 2 DB/ESMFold (commercial OK)"
}
```

## Chain Integration
- **Receives from:** Chemistry Query (SMILES for docking), Literature (target proteins)
- **Feeds into:** IP Expansion (novel binding modes), Catalyst Design (structure-guided synthesis)

## Dependencies
- `rdkit-pypi` — Conformer generation and molecular descriptors
- `biopython` — PDB parsing and FASTA sequence handling
- `requests` — API calls to RCSB and AlphaFold DB

## Compliance
Uses only publicly available protein structures (RCSB PDB, AlphaFold DB) a...

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