Linked Metabolites: A tool for the construction of directed metabolic graphs

Authors:
John M. Easton;Lisa M. Harris;Mark R. Viant;Andrew C. Peet;Theodoros N. Arvanitis
Affiliations:
School of Electronic, Electrical and Computer Engineering, University of Birmingham Edgbaston Birmingham, B15 2TT, UK;Cancer Sciences, University of Birmingham, Birmingham, UK and Birmingham Children's Hospital NHS Foundation Trust, Birmingham, UK;School of Biosciences, University of Birmingham, Birmingham, UK;Cancer Sciences, University of Birmingham, Birmingham, UK and Birmingham Children's Hospital NHS Foundation Trust, Birmingham, UK;School of Electronic, Electrical and Computer Engineering, University of Birmingham Edgbaston Birmingham, B15 2TT, UK and Birmingham Children's Hospital NHS Foundation Trust, Birmingham, UK
Venue:
Computers in Biology and Medicine
Year:
2010

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Abstract

Metabolic pathway diagrams provide a wealth of information on how reactions combine to perform biological functions. While pathway diagrams are arranged in a way that allows a specific area of metabolism to be visualised, the inherent complexity of each pathway makes it difficult to identify the sets of reactions linking groups of compounds; a common task for researchers attempting to explain observed correlations or looking for further compounds of potential interest to use in validation work. Here we introduce Linked Metabolites, a tool that identifies sets of reactions linking groups of compounds in the context of the KEGG pathway diagrams.