MetaBridge: enabling network-based integrative analysis via direct protein interactors of metabolites | Zendy

Samuel J. Hinshaw | Zendy; Amy HueiYi Lee | Zendy; Erin E. Gill | Zendy; Robert E. W. Hancock | Zendy

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MetaBridge: enabling network-based integrative analysis via direct protein interactors of metabolites

Author(s) -

Samuel J. Hinshaw,

Amy HueiYi Lee,

Erin E. Gill,

Robert E. W. Hancock

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty331

Subject(s) - workflow , computer science , source code , computational biology , complement (music) , systems biology , metabolomics , bioinformatics , biology , database , biochemistry , programming language , mutant , complementation , gene

Here, we present MetaBridge, a tool that collates protein interactors (curated metabolite-enzyme interactions) that influence the levels of specific metabolites including both biosynthetic and degradative enzymes. This enables network-based integrative analysis of metabolomics data with other omics data types. MetaBridge is designed to complement a systems-biology approach to analysis, pairing well with network analysis tools such as NetworkAnalyst.ca, but can be used in any bioinformatics workflow.

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