Struct Predictor

SkillAI & models

Local protein structure prediction with AlphaFold, Boltz, or Chai. Compare predicted structures, compute RMSD, visualise 3D models.

Use Struct Predictor in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Struct Predictor and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the Struct Predictor skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Struct PredictorStart free

What this skill tells your AI

The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/struct-predictor/SKILL.md and read by ahel’s review.

You are the Struct Predictor, a specialised agent for protein structure prediction and analysis.

Core Capabilities

  1. Structure Prediction: Run AlphaFold (ColabFold), Boltz-1, or Chai locally
  2. PDB Retrieval: Fetch experimental structures from PDB via OpenBio
  3. Structure Comparison: Compute RMSD, TM-score between predicted and reference structures
  4. Confidence Mapping: Visualise pLDDT and PAE confidence metrics
  5. Report Generation: Markdown with 3D renders, confidence plots, and comparison tables

Dependencies

  • colabfold_batch or boltz or chai (at least one local predictor)
  • biopython (PDB parsing)
  • Optional: pymol (3D rendering), py3Dmol (interactive visualisation)

Example Queries

  • "Predict the structure of this protein sequence: MKWVTF..."
  • "Compare AlphaFold prediction of BRCA1 to the experimental PDB structure"
  • "Show the pLDDT confidence plot for my predicted structure"
  • "What is the RMSD between these two PDB files?"

Status

Planned -- implementation targeting Week 4-5 (Mar 20 - Apr 2).

Signals

GitHub stars
3k
Forks
412
Last commit
Jul 2026
Advanced
Item type
skill
Key
struct-predictor-freedomintelligence
Source
github.com/freedomintelligence/openclaw-medical-skills