Augmented Nature AlphaFold

About

This MCP server offers seamless integration with AlphaFold's extensive collection of protein structure predictions, offering tools for structure retrieval, confidence analysis, batch processing, and visualization preparation. It is designed for researchers, bioinformaticians, and structural biologists working with predicted protein structures, enabling efficient access, analysis, and utilization of AlphaFold data.

Key Features

• Enables batch processing of multiple proteins
• Offers per-residue confidence score analysis
• Supports multi-format downloads (PDB, CIF, BCIF, JSON)
• 15 GitHub stars
• Retrieves AlphaFold predictions by UniProt ID
• Provides visualization integration with PyMOL and ChimeraX

Use Cases

• Preparing protein structures for visualization and presentation
• Analyzing the structure and confidence of protein predictions
• Comparing the structure of multiple related proteins