Agent skill
protein-structure-prediction
Predicts 3D protein structures from amino acid sequences using ESMFold or AlphaFold3 (mock).
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/protein-structure
Metadata
Additional technical details for this skill
- author
- AI Group
- version
- 1.0.0
SKILL.md
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
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