alphafold-database-access
CommunityAccess AI-predicted protein structures
Education & Research#bioinformatics#protein structure#drug discovery#alphafold#uniprot#structural biology
Authorjaechang-hits
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides access to AlphaFold DB's vast collection of AI-predicted protein structures, enabling researchers to quickly retrieve and analyze 3D protein models for proteins lacking experimental data.
Core Features & Use Cases
- Retrieve Structures: Get predicted structures by UniProt ID.
- Download Files: Obtain PDB or mmCIF coordinate files.
- Analyze Confidence: Evaluate prediction quality using pLDDT and PAE metrics.
- Bulk Access: Download entire proteomes via Google Cloud.
- Use Case: A drug discovery scientist needs to investigate potential binding sites on a protein that has no experimental structure. They use this Skill to download the high-confidence AlphaFold prediction and analyze its active site.
Quick Start
Use the alphafold-database-access skill to download the structure for UniProt ID P00520.
Dependency Matrix
Required Modules
biopythonrequestsnumpymatplotlibgoogle-cloud-bigquerygoogle-cloud-storage
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: alphafold-database-access Download link: https://github.com/jaechang-hits/SciAgent-Skills/archive/main.zip#alphafold-database-access Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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