Query and retrieve AI-predicted protein structures from DeepMind's AlphaFold database. Fetch structures via UniProt accession, interpret pLDDT/PAE confidence scores, and access bulk proteome data for structural biology workflows.
Quickly install alphafold-database AI skill to your development environment via command line
Source: aminoanalytica/amina-skills.
Programmatic access to DeepMind's AlphaFold Protein Structure Database (200M+ predicted structures).
| UniProt Accession | Protein identifier (e.g., P00520) used to query | | AlphaFold ID | Format: AF-{UniProt}-F{fragment} (e.g., AF-P00520-F1) | | pLDDT | Per-residue confidence (0-100); >90 = reliable, <50 = disordered | | PAE | Predicted Aligned Error; <5A = high confidence domain positions |
See references/confidence-scores.md for detailed interpretation guidance.
Query and retrieve AI-predicted protein structures from DeepMind's AlphaFold database. Fetch structures via UniProt accession, interpret pLDDT/PAE confidence scores, and access bulk proteome data for structural biology workflows. Source: aminoanalytica/amina-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/aminoanalytica/amina-skills --skill alphafold-databaseQuery and retrieve AI-predicted protein structures from DeepMind's AlphaFold database. Fetch structures via UniProt accession, interpret pLDDT/PAE confidence scores, and access bulk proteome data for structural biology workflows. Source: aminoanalytica/amina-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/aminoanalytica/amina-skills --skill alphafold-database Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/aminoanalytica/amina-skills