Literature DB >> 17195475

Metabolic control analysis to identify optimal drug targets.

Jorrit J Hornberg1, Frank J Bruggeman, Barbara M Bakker, Hans V Westerhoff.   

Abstract

This chapter describes the basic principles of Metabolic Control Analysis (MCA) which is a quantitative methodology to evaluate the importance and relative contribution of individual metabolic steps in the overall functioning of a particular system. The control on the flux through a metabolic pathway or subsystem can be quantified by the control coefficients of the individual enzymes or components which reflects the extent to which the component is rate-limiting. The perturbation of an individual step is measured by its elasticity coefficient. The effect of perturbation of a single step on the entire pathway or subsystem is, in turn, measured by the response coefficient. Differential control analysis can be used to compare flux through a single metabolic pathway in a pathogen with the same pathway in its host to identify uniquely vulnerable steps with the greatest potential for specifically inhibiting flux through the pathogen metabolic pathway. The utility of this methodology is illustrated with the glycolysis in Trypanosomes and with oncogenic signaling.

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Year:  2007        PMID: 17195475     DOI: 10.1007/978-3-7643-7567-6_7

Source DB:  PubMed          Journal:  Prog Drug Res        ISSN: 0071-786X


  8 in total

Review 1.  A critical review of the role of M2PYK in the Warburg effect.

Authors:  Robert A Harris; Aron W Fenton
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2019-01-29       Impact factor: 10.680

2.  Network-based assessment of the selectivity of metabolic drug targets in Plasmodium falciparum with respect to human liver metabolism.

Authors:  Susanna Bazzani; Andreas Hoppe; Hermann-Georg Holzhütter
Journal:  BMC Syst Biol       Date:  2012-08-31

3.  Whole genome re-sequencing identifies a mutation in an ABC transporter (mdr2) in a Plasmodium chabaudi clone with altered susceptibility to antifolate drugs.

Authors:  Axel Martinelli; Gisela Henriques; Pedro Cravo; Paul Hunt
Journal:  Int J Parasitol       Date:  2010-09-19       Impact factor: 3.981

4.  Glycolysis in the african trypanosome: targeting enzymes and their subcellular compartments for therapeutic development.

Authors:  April F Coley; Heidi C Dodson; Meredith T Morris; James C Morris
Journal:  Mol Biol Int       Date:  2011-04-11

Review 5.  Dupuytren's: a systems biology disease.

Authors:  Samrina Rehman; Royston Goodacre; Philip J Day; Ardeshir Bayat; Hans V Westerhoff
Journal:  Arthritis Res Ther       Date:  2011-09-12       Impact factor: 5.156

6.  Multi-target pharmacology: possibilities and limitations of the "skeleton key approach" from a medicinal chemist perspective.

Authors:  Alan Talevi
Journal:  Front Pharmacol       Date:  2015-09-22       Impact factor: 5.810

Review 7.  Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery.

Authors:  Douglas B Kell; Royston Goodacre
Journal:  Drug Discov Today       Date:  2013-07-26       Impact factor: 7.851

Review 8.  Mathematical modeling of complex biological systems: from parts lists to understanding systems behavior.

Authors:  Hans Peter Fischer
Journal:  Alcohol Res Health       Date:  2008
  8 in total

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