Work

Improved enzyme annotation with EC-specific cutoffs using DETECT v2

Year: 2018

Type: article

Abstract: Summary: We present DETECT v2-an enzyme annotation tool which considers the effect of sequence diversity when assigning enzymatic function [as an Enzyme Commission (EC) number] to a protein sequence. In addition to capturing more enzyme classes than the previous version, we now provide EC-specific cutoffs that greatly increase precision and recall of assignments and show its performance in the context of pathways. Availability and implementation: https://github.com/ParkinsonLab/DETECT-v2. Supplementary information: Supplementary data are available at Bioinformatics online.

Source: Bioinformatics

DOI: 10.1093/bioinformatics/bty368

Authors: Nirvana Nursimulu, Leon L Xu, James D Wasmuth, Ivan Krukov, John Parkinson

Institutions: University of Toronto, Hospital for Sick Children, University of Calgary

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: Government of Ontario, National Institutes of Health, Natural Sciences and Engineering Research Council of Canada, National Institute of Allergy and Infectious Diseases

Awards: Metabolic network reconstruction in Filaria-Wolbachia symbiosis, G5323500438