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Improved enzyme annotation with EC-specific cutoffs using DETECT v2.


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.

SUBMITTER: Nursimulu N 

PROVIDER: S-EPMC6157075 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Improved enzyme annotation with EC-specific cutoffs using DETECT v2.

Nursimulu Nirvana N   Xu Leon L LL   Wasmuth James D JD   Krukov Ivan I   Parkinson John J  

Bioinformatics (Oxford, England) 20181001 19


<h4>Summary</h4>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.<h4>Availability and implementation</h4>https://github.com/ParkinsonLab/DETE  ...[more]

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