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CATH: comprehensive structural and functional annotations for genome sequences
Ian Sillitoe1, Tony E Lewis2, Alison Cuff2
1Institute of Structural and Molecular Biology, UCL, 636 Darwin Building, Gower Street, WC1E 6BT, UK i.sillitoe@ucl.ac.uk.
Nucleic Acids Research
|October 29, 2014
Summary
The CATH-Gene3D database (version 4.0) now offers enhanced protein domain structure annotations and predictions. Key updates include improved functional family predictions and new datasets for benchmarking.
Area of Science:
- Structural bioinformatics
- Computational biology
- Protein domain analysis
Background:
- The CATH-Gene3D database classifies protein domain structures.
- Previous versions have provided valuable annotations and predictions.
- Continuous updates are essential for advancing structural bioinformatics.
Purpose of the Study:
- To report major developments in the CATH-Gene3D database since its last publication.
- To highlight improvements in functional family (FunFams) prediction accuracy.
- To introduce new resources for the scientific community, including CATH-B and CATH-40.
Main Methods:
- Database curation and annotation of protein domain structures.
- Development and refinement of algorithms for predicting functional families (FunFams).
- Creation of non-redundant datasets (CATH-40) for homology benchmarking.
Main Results:
- CATH-Gene3D version 4.0 includes over 235,000 domain structures and 25 million predictions.
- Significant improvements in the predictive power of functional families (FunFams).
- Release of 'current' putative domain assignments (CATH-B) and a non-redundant CATH domain set (CATH-40).
Conclusions:
- The updated CATH-Gene3D database offers enhanced resources for protein structure classification and analysis.
- Improvements in FunFams and new datasets facilitate more accurate protein research and homology benchmarking.
- Ongoing development ensures CATH-Gene3D remains a vital tool in structural bioinformatics.
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