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- Title
EFICAz2.5: application of a high-precision enzyme function predictor to 396 proteomes.
- Authors
Kumar, Narendra; Skolnick, Jeffrey
- Abstract
High-quality enzyme function annotation is essential for understanding the biochemistry, metabolism and disease processes of organisms. Previously, we developed a multi-component high-precision enzyme function predictor, EFICAz(2) (enzyme function inference by a combined approach). Here, we present an updated improved version, EFICAz(2.5), that is trained on a significantly larger data set of enzyme sequences and PROSITE patterns. We also present the results of the application of EFICAz(2.5) to the enzyme reannotation of 396 genomes cataloged in the ENSEMBL database.
- Publication
Bioinformatics (Oxford, England), 2012, Vol 28, Issue 20, p2687
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/bts510