alphafold-database

Retrieve AlphaFold predictions by querying with a UniProt accession to get direct download links for coordinate files in mmCIF, bcif, or PDB formats. The system handles versioning and file-format variations with robust error handling for reliable access.

Access pLDDT and PAE confidence metrics by retrieving AlphaFold predictions associated with a specific UniProt ID. The output clearly exposes these confidence data values alongside metadata and download URLs to support structure-based analyses.

Retrieve bulk AlphaFold datasets for large-scale protein analyses by leveraging Google Cloud access. This approach supports extensive structure-based analyses in drug discovery and protein engineering workflows by exposing pLDDT and PAE data programmatically.

Integrate AlphaFold predictions into drug discovery workflows by programmatically retrieving model coordinates and confidence metrics via UniProt ID. The system outputs clear URLs, metadata, and pLDDT or PAE metrics to support structure-based computational pipelines.

If a UniProt ID query fails when fetching AlphaFold structures, the system applies robust error handling for versioning and file-format variations. It ensures clear output of URLs, metadata, and metrics to prevent silent failures during retrieval.

You do not need a single specific file format to analyze AlphaFold protein structures, as coordinate files are available in mmCIF, bcif, and PDB formats. The system handles these file-format variations to support diverse protein science workflows.