tooluniverse-protein-structure-retrieval
Protein structure retrieval from RCSB PDB, PDBe, and AlphaFold with disambiguation, quality assessment (resolution, R-factor, pLDDT), and metadata. Distinguishes high-quality experimental (X-ray under 2 Angstrom) vs predicted vs medium-quality structures. Use for fetching protein structures, structure-quality comparison, and selecting structures for drug design or modeling.
How do I install this agent skill?
npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-protein-structure-retrievalIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill is a specialized tool for biological structure retrieval from trusted scientific databases. It presents a minor security surface related to indirect prompt injection from external scientific database content and includes documentation examples that demonstrate writing to the local filesystem without explicit path sanitization.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
- Runlayerwarn
3/3 files flagged
- ZeroLeakspass
Score: 93/100 · 2 sections analyzed
What does this agent skill do?
Protein Structure Data Retrieval
Retrieve protein structures with disambiguation, quality assessment, and comprehensive metadata.
IMPORTANT: Always use English terms in tool calls. Respond in the user's language.
LOOK UP DON'T GUESS: Never assume PDB IDs, resolution, or availability. Always query RCSB/PDBe and AlphaFold to confirm.
Domain Reasoning
Not all structures are equal. X-ray <2 A is high-quality for drug design. Cryo-EM 3-4 A is good for fold but not side chains. AlphaFold is excellent for well-folded domains but unreliable for disordered regions. Always check pLDDT (AlphaFold) or resolution (experimental) before drawing conclusions.
Workflow
Phase 0: Clarify (if needed) → Phase 1: Disambiguate Protein → Phase 2: Retrieve Structures → Phase 3: Report
Phase 0: Clarification (When Needed)
Ask ONLY if: protein name ambiguous (e.g., "kinase"), organism not specified, unclear if experimental vs AlphaFold needed. Skip for: specific PDB IDs, UniProt accessions, unambiguous protein+organism.
Phase 1: Protein Disambiguation
# By PDB ID: direct retrieval
# By UniProt: get AlphaFold + search experimental structures
af_structure = tu.tools.alphafold_get_prediction(uniprot_id=uniprot_id)
# By protein name: search
result = tu.tools.PDBeSearch_search_structures(protein_name=protein_name)
Identity Checklist
- Protein name/gene identified, organism confirmed
- UniProt accession (if available), isoform/variant specified (if relevant)
Phase 2: Data Retrieval (Internal)
Retrieve silently. Do NOT narrate the process.
pdb_id = "4INS"
# Search, metadata, quality, ligands, similar structures
result = tu.tools.PDBeSearch_search_structures(protein_name=name)
metadata = tu.tools.get_protein_metadata_by_pdb_id(pdb_id=pdb_id)
exp = tu.tools.RCSBData_get_entry(pdb_id=pdb_id)
quality = tu.tools.PDBeValidation_get_quality_scores(pdb_id=pdb_id)
ligands = tu.tools.PDBe_KB_get_ligand_sites(pdb_id=pdb_id)
similar = tu.tools.PDBeSIFTS_get_all_structures(pdb_id=pdb_id, cutoff=2.0)
# PDBe additional data
summary = tu.tools.pdbe_get_entry_summary(pdb_id=pdb_id)
molecules = tu.tools.pdbe_get_entry_molecules(pdb_id=pdb_id)
# AlphaFold (when no experimental structure, or for comparison)
af = tu.tools.alphafold_get_prediction(uniprot_id=uniprot_id)
Fallback Chains
| Primary | Fallback |
|---|---|
| RCSB search | PDBe search |
| get_protein_metadata | pdbe_get_entry_summary |
| Experimental structure | AlphaFold prediction |
| get_protein_ligands | PDBe_KB_get_ligand_sites |
Phase 3: Report Structure Profile
Present as a Structure Profile Report. Hide search process. Include:
- Search Summary: query, organism, experimental + AlphaFold structure counts
- Best Structure: PDB ID, UniProt, organism, method, resolution, date, quality assessment
- Experimental Details: method, resolution, R-factor, R-free, space group
- Composition: chains, residues (coverage%), ligands, waters, metals
- Bound Ligands: ligand ID, name, type, binding site
- Binding Site Details (for drug discovery): location, key residues, druggability
- Alternative Structures: ranked by quality with resolution, method, ligands
- AlphaFold Prediction: UniProt, model version, pLDDT confidence distribution, use cases
- Structure Comparison: resolution, completeness, ligands across structures
- Download Links: PDB/mmCIF/AlphaFold formats, database URLs
Quality Assessment
Experimental Structures
| Tier | Criteria |
|---|---|
| Excellent | X-ray <1.5A, complete, R-free <0.22 |
| High | X-ray <2.0A OR Cryo-EM <3.0A |
| Good | X-ray 2.0-3.0A OR Cryo-EM 3.0-4.0A |
| Moderate | X-ray >3.0A OR NMR ensemble |
| Low | >4.0A, incomplete, or problematic |
Resolution Use Cases
<1.5A: atomic detail, H-bond analysis. 1.5-2.0A: drug design. 2.0-2.5A: structure-based design. 2.5-3.5A: overall architecture. >3.5A: domain arrangement only.
AlphaFold Confidence (pLDDT)
90: very high, experimental-like. 70-90: good backbone. 50-70: uncertain/flexible. <50: likely disordered.
Error Handling
| Error | Response |
|---|---|
| "PDB ID not found" | Verify 4-char format, check if obsoleted |
| "No structures" | Offer AlphaFold, suggest similar proteins |
| "Download failed" | Retry once, provide alternative link |
| "Resolution unavailable" | Likely NMR/model, note in assessment |
Tool Reference
RCSB PDB: PDBeSearch_search_structures (search), get_protein_metadata_by_pdb_id (basic info), RCSBData_get_entry (details), PDBeValidation_get_quality_scores (quality), PDBe_KB_get_ligand_sites (ligands), PDBeSIFTS_get_all_structures (homologs)
PDBe: pdbe_get_entry_summary (overview), pdbe_get_entry_molecules (entities), pdbe_get_entry_experiment (experimental), PDBe_KB_get_ligand_sites (pockets)
AlphaFold: alphafold_get_prediction (get prediction), alphafold_get_summary (search)
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/mims-harvard/tooluniverse/tooluniverse-protein-structure-retrieval">View tooluniverse-protein-structure-retrieval on skillZs</a>