Claw4Science

TCM Research Strategist: AI Skill Guide

Mar 30, 2026

AI Meets Traditional Chinese Medicine Research

Designing a network pharmacology study for TCM is notoriously complex — you need to identify active compounds, map protein targets, build interaction networks, run molecular docking, and integrate multi-omics data. Each step requires knowledge of different databases (TCMSP, GeneCards, STRING, KEGG) and analytical tools.

The TCM Biomedical Research Strategist skill automates this entire planning process. Give it an herb and a disease, and it generates a complete, executable research plan.

What It Does

Input: A TCM formula or herb + a disease target + an optional mechanism focus

Output: A structured 11-section research plan including:

  1. Core scientific question formulation
  2. Specific aims (2-3 testable hypotheses)
  3. Complete study design
  4. 14-step analytical pipeline (from compound screening to pathway enrichment)
  5. Molecular docking protocol
  6. Multi-omics integration strategy
  7. Validation experimental design
  8. Timeline and milestones
  9. Resource and feasibility assessment
  10. Expected outcomes
  11. Limitations and contingency plans

Example prompt:

Design a network pharmacology study for Huangqi (Astragalus)
targeting diabetic nephropathy, focusing on the PI3K/Akt pathway.

Databases and Tools Referenced

The skill designs plans that leverage standard TCM research databases:

DatabasePurpose
TCMSPTCM compound-target screening
GeneCardsDisease-related gene identification
STRINGProtein-protein interaction networks
KEGGPathway enrichment analysis
UniProtProtein annotation
PDBMolecular docking structures
AutoDock VinaDocking simulation
CytoscapeNetwork visualization

Installation

clawhub install tcm-biomedical-research-strategist

Or visit: ClawHub page

  • License: MIT-0 (completely free)
  • API keys needed: None
  • Dependencies: None (instruction-only skill)
  • Part of: AIPOCH Medical Research Skills (200+ skills)

Important Limitations

  • Outputs are computational research plans, not experimental results
  • All plans require wet-lab experimental validation
  • Not for clinical trials, patient dosing, or regulatory submissions
  • The skill designs the study — you still need to execute it

Who Should Use This

  • TCM researchers transitioning to network pharmacology approaches
  • Pharmacology students learning study design methodology
  • Bioinformatics labs receiving TCM-related collaboration requests
  • Grant writers needing a structured research framework for TCM proposals

Last updated: March 30, 2026. This skill is part of the AIPOCH Medical Research Skills library, actively maintained.

TCM Research Strategist: AI Skill Guide | Blog