Literature DB >> 12886878

Metabolic analysis in drug design.

Athel Cornish-Bowden1, María Luz Cárdenas.   

Abstract

Biotechnology is often presented as if progress in the past two decades represented a major success, but the reality is quite different. For example, ten major classes of antibiotics were discovered between 1935 and 1963, but after 1963 there has been just one, the oxazolidones. To illustrate the possibilities of doing better by taking account of the real behaviour of metabolic systems, we can examine how one might modify the activity of an enzyme in the cell (for example by genetic manipulation, or by the action of an inhibitor, etc.) to satisfy a technological aim. For example, if the objective is to eliminate a pest, one might suppose that the effect of an inhibitor could be to depress an essential flux to a level insufficient for life, or to raise the concentration of an intermediate to a toxic level. The former may seem the more obvious, but the latter is easier to achieve in practice, and there are some excellent examples of industrial products that work in that way, such as the herbicide 'Roundup' and antimalarials of the quinine class. A study of glycolysis in the parasite Trypanosoma brucei (which causes African sleeping sickness) indicates that for this approach to work the selected target enzyme must have a substrate with a concentration that is not limited by stoichiometric constraints. That is not necessarily easy to find in a complicated system, and typically needs the metabolic network to be analysed in the computer.

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Year:  2003        PMID: 12886878     DOI: 10.1016/s1631-0691(03)00117-3

Source DB:  PubMed          Journal:  C R Biol        ISSN: 1631-0691            Impact factor:   1.583


  7 in total

Review 1.  Intelligently deciphering unintelligible designs: algorithmic algebraic model checking in systems biology.

Authors:  Bud Mishra
Journal:  J R Soc Interface       Date:  2009-04-08       Impact factor: 4.118

2.  Weighting schemes in metabolic graphs for identifying biochemical routes.

Authors:  S Ghosh; P Baloni; S Vishveshwara; N Chandra
Journal:  Syst Synth Biol       Date:  2013-11-06

Review 3.  Eating at the table of another: metabolomics of host-parasite interactions.

Authors:  Björn F C Kafsack; Manuel Llinás
Journal:  Cell Host Microbe       Date:  2010-02-18       Impact factor: 21.023

Review 4.  1,4-naphthoquinones and other NADPH-dependent glutathione reductase-catalyzed redox cyclers as antimalarial agents.

Authors:  Didier Belorgey; Don Antoine Lanfranchi; Elisabeth Davioud-Charvet
Journal:  Curr Pharm Des       Date:  2013       Impact factor: 3.116

5.  In silico identification of drug target pathways in breast cancer subtypes using pathway cross-talk inhibition.

Authors:  Claudia Cava; Gloria Bertoli; Isabella Castiglioni
Journal:  J Transl Med       Date:  2018-06-05       Impact factor: 5.531

6.  targetTB: a target identification pipeline for Mycobacterium tuberculosis through an interactome, reactome and genome-scale structural analysis.

Authors:  Karthik Raman; Kalidas Yeturu; Nagasuma Chandra
Journal:  BMC Syst Biol       Date:  2008-12-19

7.  Metabolomic Profile of BALB/c Macrophages Infected with Leishmania amazonensis: Deciphering L-Arginine Metabolism.

Authors:  Sandra Marcia Muxel; Maricruz Mamani-Huanca; Juliana Ide Aoki; Ricardo Andrade Zampieri; Lucile Maria Floeter-Winter; Ángeles López-Gonzálvez; Coral Barbas
Journal:  Int J Mol Sci       Date:  2019-12-11       Impact factor: 5.923

  7 in total

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