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Drug Team

drug team

cheminem0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install cheminem/drug-team

Inspect the source and compatibility requirements, then follow its installation steps.

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Skill instructions

drug-team

Meta-skill that orchestrates a team of specialized AI agents for drug design.

Overview

  • Purpose: Designs novel drug candidates for a given target/indication with constraints (e.g., "Design drug for pain relief, logP<3").
  • Agents:
    1. Chem Synth (uses chemistry-query skill): Proposes molecular scaffolds and synthesis routes.
    2. Synth Notebook (uses synth-notebook skill): Visualizes routes, optimizes yields, checks safety.
    3. Lab Inventory (uses lab-inventory skill): Checks stock for reagents, estimates costs.
    4. ADMET: Predicts QED, SA, logP, TPSA, pKa using RDKit/ML proxies.
    5. Tox: Checks PAINS, Brenk alerts, Ames test.
    6. Pharm: Evaluates target binding affinity (docking proxy via web/tools).
    7. Patent Scout (uses patent_scout.py): Scans for prior art patents, computes novelty score, checks for blocking patents via web searches.
  • Coordination: Iterative polling and messaging between agents to refine candidates.
  • Output: Table of top 3 molecules (SMILES, route, scores) + visualizations (e.g., mol images).

Triggers

  • drug design
  • design drug
  • painkiller
  • drug synthesis
  • synth pharm
  • design molecule
  • "low tox" drug
  • inventory-aware design
  • design with stock check
  • check stock for synthesis
  • patent
  • novelty
  • prior art

Usage

When triggered, runs scripts/orchestrate.py \"{user_query}\" .

Integration

  • Integrates chemistry-query for initial scaffolds and routes.
  • Uses synth-notebook for route visualization, yield optimization, and safety checks.
  • Incorporates lab-inventory for reagent stock checking and cost estimation.
  • Ranks candidates including feasibility scores based on yield, safety (with SDS scans for route chemicals, risk scores, and alerts), and inventory availability.
  • Post-design patent scouting to include novelty scores and blocking status in candidate ranking ("High novelty: no blocking patents").

Dependencies

  • RDKit (installed)
  • chemistry-...

Source information

Source
github
Repository
openclaw/skills
Path
skills/cheminem/drug-team
Version
—
Commit
19c0e7967e52dd3d77bb63c9e5f01e4a93ff50f2
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# drug-team

Meta-skill that orchestrates a team of specialized AI agents for drug design.

## Overview
- **Purpose**: Designs novel drug candidates for a given target/indication with constraints (e.g., \"Design drug for pain relief, logP<3\").
- **Agents**:
  1. **Chem Synth** (uses chemistry-query skill): Proposes molecular scaffolds and synthesis routes.
  2. **Synth Notebook** (uses synth-notebook skill): Visualizes routes, optimizes yields, checks safety.
  3. **Lab Inventory** (uses lab-inventory skill): Checks stock for reagents, estimates costs.
  4. **ADMET**: Predicts QED, SA, logP, TPSA, pKa using RDKit/ML proxies.
  5. **Tox**: Checks PAINS, Brenk alerts, Ames test.
  6. **Pharm**: Evaluates target binding affinity (docking proxy via web/tools).
  7. **Patent Scout** (uses patent_scout.py): Scans for prior art patents, computes novelty score, checks for blocking patents via web searches.
- **Coordination**: Iterative polling and messaging between agents to refine candidates.
- **Output**: Table of top 3 molecules (SMILES, route, scores) + visualizations (e.g., mol images).

## Triggers
- drug design
- design drug
- painkiller
- drug synthesis
- synth pharm
- design molecule
- \"low tox\" drug
- inventory-aware design
- design with stock check
- check stock for synthesis
- patent
- novelty
- prior art

## Usage
When triggered, runs `scripts/orchestrate.py \"{user_query}\"` .

## Integration
- Integrates chemistry-query for initial scaffolds and routes.
- Uses synth-notebook for route visualization, yield optimization, and safety checks.
- Incorporates lab-inventory for reagent stock checking and cost estimation.
- Ranks candidates including feasibility scores based on yield, safety (with SDS scans for route chemicals, risk scores, and alerts), and inventory availability.
- Post-design patent scouting to include novelty scores and blocking status in candidate ranking (\"High novelty: no blocking patents\").

## Dependencies
- RDKit (installed)
- chemistry-...

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