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Graph methods for the investigation of metabolic networks in parasitology

Published online by Cambridge University Press:  06 May 2010

LUDOVIC COTTRET  and
FABIEN JOURDAN
LUDOVIC COTTRET
Affiliation:
INRA, UMR 1089 Xénobiotiques, 180 chemin de Tournefeuille BP 93173, F31027 Toulouse Cedex3, France
FABIEN JOURDAN*
Affiliation:
INRA, UMR 1089 Xénobiotiques, 180 chemin de Tournefeuille BP 93173, F31027 Toulouse Cedex3, France
*
*Corresponding author: INRA, UMR 1089 Xénobiotiques, 180 chemin de Tournefeuille BP 93173, F31027 Toulouse Cedex3, France. Tel: +33 561 28 57 15. Fax: +33 561 28 52 44. E-mail: Fabien.Jourdan@toulouse.inra.fr
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Summary

Recently, a way was opened with the development of many mathematical methods to model and analyze genome-scale metabolic networks. Among them, methods based on graph models enable to us quickly perform large-scale analyses on large metabolic networks. However, it could be difficult for parasitologists to select the graph model and methods adapted to their biological questions. In this review, after briefly addressing the problem of the metabolic network reconstruction, we propose an overview of the graph-based approaches used in whole metabolic network analyses. Applications highlight the usefulness of this kind of approach in the field of parasitology, especially by suggesting metabolic targets for new drugs. Their development still represents a major challenge to fight against the numerous diseases caused by parasites.

Keywords

Metabolismmetabolic networkgraph modelling
Type
Research Article
Information
Parasitology , Volume 137 , Special Issue 9: Insights into the metabolomes of parasites , August 2010 , pp. 1393 - 1407
Copyright
Copyright © Cambridge University Press 2010

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