alphafold-database

To download AlphaFold predicted protein structures, query the database by UniProt accession like P00520 to retrieve model coordinates and download them in mmCIF, bcif, or PDB format for local structural biology analysis.

pLDDT and PAE confidence metrics in AlphaFold predictions indicate per-residue positional confidence and predicted aligned error, helping researchers prioritize high-confidence regions for downstream modeling or docking workflows.

Yes, you can retrieve AlphaFold model coordinates in PDB format. The database supports downloading predictions in multiple coordinate formats including mmCIF, bcif, and PDB to accommodate various structural biology workflows.

The best way to access bulk AlphaFold structures and confidence metrics is by leveraging Google Cloud or BigQuery, which supports bulk access and analytics for large-scale downstream processing without querying individual predictions individually.

Yes, the AlphaFold database provides model predictions compatible with the v4 data version. You can download the model_v4.cif file directly using a valid UniProt ID to ensure you are using the latest prediction data.

AlphaFold DB confidence metrics like pLDDT and PAE should be used to identify reliable domains, but high confidence does not guarantee accurate docking interfaces, meaning you must independently validate interaction surfaces for downstream docking workflows.