alphafold-database

Retrieve AlphaFold structures by querying the database with a UniProt accession ID, which returns AI-predicted protein coordinates in PDB or mmCIF format. Download model files directly to your local system for structural analysis and visualization.

pLDDT measures per-residue confidence in predicted structure, while PAE quantifies relative domain confidence. Both metrics identify reliable regions in AlphaFold predictions, helping you assess which parts of a protein model are trustworthy for drug discovery and structural studies.

Yes, bulk AlphaFold data is accessible through Google Cloud Platform and BigQuery, enabling large-scale programmatic analysis of multiple proteins or entire proteomes without downloading individual structure files manually.

Access AlphaFold-DB via Biopython interfaces or REST API for programmatic retrieval of structures and confidence data. Both methods support automated pipelines for downloading PDB/mmCIF files and extracting metrics into your analysis code.

AlphaFold-DB provides mmCIF and PDB coordinate files, including model versions like model_v4.cif. These standard structural biology formats are compatible with most visualization, analysis, and molecular modeling software.

The Skill retrieves structures by UniProt ID or protein name, so you can query using either identifier type. This flexibility accommodates workflows where you have common protein names but need to map them to structure predictions programmatically.