alphafold-database

Retrieve AlphaFold structures and confidence metrics for UniProt accessions.

94|11|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/swaruplab/operon --skill alphafold-database-swaruplab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: alphafold-database
Source: https://github.com/swaruplab/operon/tree/main/src-tauri/protocols/alphafold-database
Command: npx skills add https://github.com/swaruplab/operon --skill alphafold-database-swaruplab

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Retrieves AlphaFold predictions and metadata for a given UniProt accession, enabling researchers to quickly access structure data and confidence metrics for downstream analysis.

Core Features & Use Cases

  • Structure retrieval by UniProt: Fetch AlphaFold predictions using UniProt IDs and obtain CIF/PDB files for modeling, docking, and visualization.
  • Confidence analysis: Access pLDDT and PAE metrics to assess reliability and guide interpretation of predicted structures.
  • Bulk access & integrations: Leverage Google Cloud or 3D-Beacons federated endpoints to scale analyses across proteomes or protein families.

Quick Start

Fetch the AlphaFold prediction for a UniProt ID and download the corresponding mmCIF or PDB file for immediate analysis.

Frequently Asked Questions about alphafold-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fetch AlphaFold protein structures using a UniProt ID?

To fetch AlphaFold protein structures, provide a UniProt accession to retrieve predicted coordinates in mmCIF or PDB format along with metadata for immediate analysis.

How can I access pLDDT and PAE confidence metrics for AlphaFold predictions?

You can access pLDDT and PAE confidence metrics by retrieving AlphaFold predictions via UniProt accessions, allowing you to assess structure reliability and guide downstream interpretation.

Can I retrieve AlphaFold structures in bulk for proteome-scale analysis?

Yes, you can retrieve AlphaFold structures in bulk by leveraging Google Cloud or 3D-Beacons federated endpoints to scale analyses across protein families or entire proteomes.

Does this AlphaFold database retrieval method support Python-based pipelines?

Yes, this retrieval method supports programmatic access within Python-based pipelines, relying on public AlphaFold DB APIs and file endpoints for downstream workflows.

What is the best way to download mmCIF files for AlphaFold predicted structures?

The best way to download mmCIF files for AlphaFold predicted structures is to query the database using a UniProt identifier and fetch the corresponding coordinate files programmatically.

When should I use 3D-Beacons versus direct AlphaFold DB APIs for structure retrieval?

Use 3D-Beacons for federated access across multiple structure providers, while direct AlphaFold DB APIs are suited for targeted retrieval of AlphaFold-specific predictions and metadata.