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protein-structure

Analyzes protein 3D structures, performs homology modeling, interprets AlphaFold predictions, conducts molecular docking, and evaluates protein-ligand interactions; trigger when users ask about PDB files, folding, binding sites, or structural biology.

Installable skillMITBy beita6969Updated Oct 30, 2026
INTENDED FORClaude CodeCodexOpenClawCursorInstall in a listed agent.

instructions.md

---
name: protein-structure-38806ec61d2e
description: Analyzes protein 3D structures, performs homology modeling, interprets AlphaFold predictions, conducts molecular docking, and evaluates protein-ligand interactions; trigger when users ask about PDB files, folding, binding sites, or structural biology.
---

## When to Trigger

Activate this skill when the user mentions:
- Protein folding, AlphaFold, ESMFold, RoseTTAFold
- PDB files, structural analysis, Ramachandran plots
- Molecular docking, binding affinity, binding pockets
- Homology modeling, threading, ab initio structure prediction
- Protein-protein interactions (PPI), interface analysis
- Structural alignment, RMSD, TM-score
- Cryo-EM, X-ray crystallography data interpretation

## Step-by-Step Methodology

1. **Retrieve or predict structure** - Search PDB for experimental structures (by UniProt ID or gene name). If unavailable, use AlphaFold DB or run ESMFold. Check pLDDT confidence scores for predicted structures.
2. **Quality assessment** - For experimental structures: check resolution, R-free, and completeness. For predictions: evaluate pLDDT per-residue and PAE (predicted aligned error) matrices.
3. **Structural analysis** - Identify secondary structure elements (helices, sheets, loops). Compute solvent-accessible surface area. Map conserved residues and functional domains.
4. **Binding site identification** - Use fpocket, SiteMap, or DoGSiteScorer for pocket detection. Cross-reference with known ligand binding from PDBe or BindingDB.
5. **Molecular docking** - Recommend AutoDock Vina, GNINA, or Glide. Define grid box around binding site. Report binding energy (kcal/mol) and key interactions (H-bonds, hydrophobic, pi-stacking).
6. **Structural comparison** - Align structures using TM-align or FATCAT. Report RMSD and TM-score. Identify conformational changes between states.
7. **Visualization guidance** - Recommend PyMOL, ChimeraX, or Mol* for rendering. Specify coloring schemes (by chain, B-factor, electrostatics, or conservation).

## Key Databases and Tools

- **PDB / PDBe** - Experimental protein structures
- **AlphaFold DB** - AI-predicted structures for UniProt entries
- **UniProt** - Protein sequences, domains, and annotations
- **InterPro / Pfam** - Domain classification
- **BindingDB / ChEMBL** - Binding affinity data
- **RCSB PDB REST API** - Programmatic structure queries
- **PDBe-KB** - Aggregated structural annotations

## Output Format

- Report structures with PDB ID, resolution, method, and chain identifiers.
- Binding energies in kcal/mol with interaction fingerprints.
- Structural alignments with RMSD (in Angstroms) and TM-score.
- Residue numbering must match the canonical UniProt sequence or PDB SEQRES.
- Include PyMOL/ChimeraX commands for reproducing visualizations.

## Quality Checklist

- [ ] Structure source and method (X-ray, cryo-EM, NMR, predicted) clearly stated
- [ ] Resolution or confidence metric (pLDDT) reported
- [ ] Binding site residues listed with chain and numbering
- [ ] Docking results include top poses and interaction details
- [ ] Limitations of predicted structures acknowledged where relevant
- [ ] All PDB IDs verified as valid and current
- [ ] Biological assembly vs. asymmetric unit distinguished

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Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.