db-alphafold
OfficialAccess AI-predicted protein structures.
Education & Research#bioinformatics#protein structure#drug discovery#alphafold#biophysics#structural biology
Authorbiomaps-infra
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides access to a vast database of AI-predicted 3D protein structures, enabling researchers to analyze protein function and design new therapeutics even when experimental data is unavailable.
Core Features & Use Cases
- Structure Retrieval: Get predicted structures for millions of proteins by UniProt ID.
- Confidence Analysis: Evaluate the reliability of predictions using pLDDT and PAE metrics.
- Bulk Data Access: Download entire proteomes or specific datasets via Google Cloud.
- Use Case: A drug discovery team needs to analyze the structure of a novel kinase. They use this Skill to download the AlphaFold prediction, examine its active site confidence, and plan their inhibitor design strategy.
Quick Start
Use the db-alphafold skill to retrieve the structure for UniProt ID P00520.
Dependency Matrix
Required Modules
biopythonrequestsnumpymatplotlibpandasscipygoogle-cloud-bigquerygsutil
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: db-alphafold Download link: https://github.com/biomaps-infra/blender-opencode/archive/main.zip#db-alphafold Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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