The abstract is read at the publisher; the summary is JClub's.
CATH expands its protein structural domain coverage by integrating experimentally determined PDB structures with rapidly growing AlphaFold predicted structures, alongside new homology detection and automated end-to-end workflows.
- Why it matters: The field needs scalable, up-to-date domain annotation that keeps pace with both experimental structure growth and large-scale predicted structure collections.
- What they did: The authors update CATH by adding AlphaFold Protein Structure Database predictions via The Encyclopedia of Domains and improving homology detection protocols and automated workflows for end-to-end domain annotation and classification.
- The result: These advances enable CATH to process large-scale protein structural data more effectively, strengthening its integrated evolutionary, structural, and functional annotation and visualization capabilities.
The findingWhy it mattersWhat they didThe result
AI summary of the abstract · may contain errors · not medical advice · read the paper.