Improved enzyme annotation with EC-specific cutoffs using DETECT v2

Bioinformatics. 2018 Oct 1;34(19):3393-3395. doi: 10.1093/bioinformatics/bty368.

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology
  • Enzymes / chemistry*
  • Software*

Substances

  • Enzymes