--> --- 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 --- 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).
Scanned 9/8/2026
Install to Claude Code
npx -y skills add mdbabumiamssm/AI-Agentic-Skills-by-Dr.-Mia --skill Protein_Structure --agent claude-codeInstalls into .claude/skills of the current project.
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---
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
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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