EFICAz
Computational Tool
FAIR Metrics
0 evaluations
General Information
DescriptionApplication of a high-precision enzyme function predictor to 396 proteomes
Homepagehttp://cssb.biology.gatech.edu/EFICAz2.5
Publications
EFICAz: application of a high-precision enzyme function predictor to 396 proteomes
Narendra Kumar; Jeffrey Skolnick
Summary: 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, EFICAz2 (enzyme function inference by a combined approach). Here, we present an updated improved version, EFICAz2.5, that is trained on a significantly larger data set of enzyme sequences and PROSITE patterns. We also present the results of the application of EFICAz2.5 to the enzyme reannotation of 396 genomes cataloged in the ENSEMBL database.
Availability: The EFICAz2.5 server and database is freely available with a use-friendly interface at http://cssb.biology.gatech.edu/EFICAz2.5.
Contact: skolnick@gatech.edu
Supplementary information: Supplementary data are available at Bioinformatics online.
Metrics:
Canned Analyses generated by the tool
There are no indexed analyses by this tool at the moment.
Datasets analyzed by the tool
There are no indexed analyses by this tool at the moment.
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.