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

Samuel J Hinshaw; Amy H Y Lee; Erin E Gill; Robert E W Hancock

doi:10.1093/bioinformatics/bty331

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

Bioinformatics. 2018 Sep 15;34(18):3225-3227. doi: 10.1093/bioinformatics/bty331.

Authors

Samuel J Hinshaw¹, Amy H Y Lee¹, Erin E Gill¹, Robert E W Hancock¹

Affiliation

¹ Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, BC, Canada.

PMID: 29688253
DOI: 10.1093/bioinformatics/bty331

Abstract

Summary: 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.

Availability and implementation: MetaBridge has been implemented as a web tool at https://www.metabridge.org, and the source code is available at https://github.com/samhinshaw/metabridge_shiny (GNU GPLv3).

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Humans
Metabolic Networks and Pathways*
Metabolomics / methods*
Software*
Systems Biology / methods*

Grants and funding

FDN-154287/CIHR/Canada