AlterLab AlphaFold DB
Skill Verified ActiveAccess AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology. Part of the AlterLab Academic Skills suite.
To enable researchers to easily access, download, and analyze AI-predicted protein structures from the AlphaFold database for applications in drug discovery and structural biology.
Features
- Retrieve AlphaFold structures by UniProt ID
- Download PDB/mmCIF coordinate files
- Analyze pLDDT and PAE confidence metrics
- Access bulk data via Google Cloud
- Integrate with Biopython for structural analysis
Use Cases
- Investigating protein structures for drug discovery targets
- Analyzing confidence metrics of predicted structures
- Integrating AlphaFold data into computational biology pipelines
- Downloading large datasets of protein structures for research
Non-Goals
- Predicting new protein structures
- Experimental structure determination
- Performing complex molecular dynamics simulations
Practices
- Bioinformatics data access
- Structural biology analysis
Prerequisites
- Python 3.8+
- Biopython library
- Requests library
Trust
- info:Issues AttentionThere are 2 open issues and 0 closed issues in the last 90 days, indicating low current activity but also a small number of issues.
Installation
npx skills add AlterLab-IEU/AlterLab-Academic-SkillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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