Agent skill

protein-structure-prediction

Predicts 3D protein structures from amino acid sequences using ESMFold or AlphaFold3 (mock).

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Forks 31

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

  1. Folding: Generates atomic coordinates (PDB format).
  2. Confidence Scoring: Returns pLDDT scores per residue.
  3. Visualization: (Optional) Generates a static view of the structure.

Workflow

  1. Input: Amino acid sequence (FASTA string).
  2. Process: Sends sequence to ESMFold API (or local inference).
  3. Output: Saves .pdb file and returns confidence metrics.

Example Usage

User: "Fold this sequence: MKTIIALSY..."

Agent Action:

bash
python3 Skills/Drug_Discovery/Protein_Structure/esmfold_client.py \
    --sequence "MKTIIALSYIFCLVFDYDY" \
    --output structure.pdb

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