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TEDLH: domain HMMs for sensitive detection of remote homologues.
Bioinformatics · · Journal Article · Open access
Alvarez-Carreño, Petrov + more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
TEDLH links nearly one million protein domain HMMs to structural data, expanding detection of remote homologues and revealing evolutionary relationships across protein families.
- Why it matters: Understanding distant protein homologies is crucial for accurate annotation and functional prediction, yet existing methods often lack sensitivity for divergent sequences, creating gaps in evolutionary knowledge.
- What they did: Constructed from AlphaFold protein annotations, TEDLH comprises 934,186 domain HMMs connected to CATH-PDB structures through direct and transitive relationships, enhancing coverage of divergent regions and superfamily diversity.
- The result: This approach improves detection of structurally similar but sequence-divergent proteins, offers insights into evolutionary links between superfamilies, and supports systematic exploration of protein domain evolution.
The findingWhy it mattersWhat they didThe result
- Open access
- 1 cites