Working together to develop, promote and protect our data resources. Lessons learnt developing CATH and TED
The CATH protein domain structure classification was the vision of the pioneering computational scientist Janet Thornton. Algorithms developed by Orengo and Taylor in the lab of Willie Taylor enabled the analyses that laid the foundations for CATH. Since then, the Orengo team have taken CATH forward in many ways. Working closely with the protein sequence, structural and evolutionary biology communities provided the focus and feedback to shape the resource. Maintaining the value and integrity of CATH has necessitated continuously embracing new types of data as it became relevant and developing the appropriate tools for this. For example, CATH was recently expanded >400-fold with predicted structures from AlphaFold Database (AFDB) using novel AI-based tools and the CATH team are collaborating with the AFDB team at the EBI to make the data available to the wider community. CATH is also a partner resource in InterPro and was also used by the Structural Genomics Consortia in the States for more than 15 years to probe novel fold and function space. All CATH data and tools are publicly available. The talk will present landmark developments and how the resource has benefitted from extensive collaborations with the wider community to handle the data expansions and to provide accurate data needed by the community. It will also draw on CATH experience to reflect on strategies for supporting open data and open source.
Institutions
- University College London (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-13
- DOI
- https://doi.org/10.5281/zenodo.16858224
- Primary Topic
- Enzyme Structure and Function
- Type
- article
- Field-Weighted Citation Impact
- 0.00