protein-structure-prediction
SkillDev toolsThe Protein Structure Prediction Skill provides an interface to state-of-the-art folding models. It takes an amino acid sequence and returns a PDB file or structure metrics (pLDDT).
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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About this skill
The largest open-source medical AI skills library for OpenClaw🦞.
What this skill tells your AI
The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/protein-structure-prediction/SKILL.md and read by Ahel’s review.
name: 'protein-structure-prediction' description: 'Predicts 3D protein structures from amino acid sequences using ESMFold or AlphaFold3 (mock).' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:
- read_file
- run_shell_command
Protein Structure Prediction (ESMFold/AF3)
The Protein Structure Prediction Skill provides an interface to state-of-the-art folding models. It takes an amino acid sequence and returns a PDB file or structure metrics (pLDDT).
When to Use This Skill
- When you have a protein sequence and need its 3D coordinates.
- To check if a designed sequence folds into a stable structure.
- To prepare a receptor for docking simulations.
Core Capabilities
- Folding: Generates atomic coordinates (PDB format).
- Confidence Scoring: Returns pLDDT scores per residue.
- Visualization: (Optional) Generates a static view of the structure.
Workflow
- Input: Amino acid sequence (FASTA string).
- Process: Sends sequence to ESMFold API (or local inference).
- Output: Saves
.pdbfile and returns confidence metrics.
Example Usage
User: "Fold this sequence: MKTIIALSY..."
Agent Action:
python3 Skills/Drug_Discovery/Protein_Structure/esmfold_client.py \
--sequence "MKTIIALSYIFCLVFDYDY" \
--output structure.pdb
Signals
- GitHub stars
- 3k
- Forks
- 412
- Last commit
- Jul 2026
Ahel review
K1binfo
installs-packages (in README.md)
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
protein-structure-prediction- Source
- github.com/freedomintelligence/openclaw-medical-skills