AlphaFold Database Access

概要

This skill integrates AlphaFold DB's massive repository of AI-predicted 3D protein structures directly into computational workflows. It enables developers and researchers to retrieve protein structures using UniProt IDs, download coordinate files in PDB or mmCIF formats, and interpret critical confidence metrics like pLDDT and PAE. Whether performing single-protein analysis or large-scale proteome studies via Google Cloud, this skill provides the implementation patterns needed to bridge the gap between AI-driven structural predictions and practical biological research applications.

主な機能

• Integrate structural data into Biopython and bioinformatics pipelines
• Analyze prediction reliability using pLDDT and PAE confidence metrics
• Download model coordinates in high-fidelity mmCIF and PDB formats
• 1 GitHub stars
• Access bulk proteome datasets via Google Cloud Storage and BigQuery
• Retrieve 3D protein structures via UniProt IDs and protein names

ユースケース

• Large-scale structural proteomics and proteome-wide data analysis
• Protein engineering and mutation modeling in high-confidence regions
• Structure-based drug discovery and target protein docking studies