Literature DB >> 19481614

Metabolite-centric approaches for the discovery of antibacterials using genome-scale metabolic networks.

Tae Yong Kim1, Hyun Uk Kim, Sang Yup Lee.   

Abstract

Development of genome-scale metabolic models and various constraints-based flux analyses have enabled more sophisticated examination of metabolism. Recently reported metabolite essentiality studies are also based on the constraints-based modeling, but approaches metabolism from a metabolite-centric perspective, providing synthetic lethal combination of reactions and clues for the rational discovery of antibacterials. In this study, metabolite essentiality analysis was applied to the genome-scale metabolic models of four microorganisms: Escherichia coli, Helicobacter pylori, Mycobacterium tuberculosis and Staphylococcus aureus. Furthermore, chokepoints, metabolites surrounded by enzymes that uniquely consume and/or produce them, were also calculated based on the network properties of the above organisms. A systematic drug targeting strategy was developed by combining information from these two methods. Final drug target metabolites are presented and examined with knowledge from the literature. (c) 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19481614     DOI: 10.1016/j.ymben.2009.05.004

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  27 in total

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Journal:  Brief Bioinform       Date:  2009-12-02       Impact factor: 11.622

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Authors:  Hyun Uk Kim; Jae Yong Ryu; Jong Ok Lee; Sang Yup Lee
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3.  Fast automated reconstruction of genome-scale metabolic models for microbial species and communities.

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Review 4.  Tuberculosis: global approaches to a global disease.

Authors:  Denise E Kirschner; Douglas Young; JoAnne L Flynn
Journal:  Curr Opin Biotechnol       Date:  2010-07-14       Impact factor: 9.740

5.  Flux-sum analysis: a metabolite-centric approach for understanding the metabolic network.

Authors:  Bevan Kai Sheng Chung; Dong-Yup Lee
Journal:  BMC Syst Biol       Date:  2009-12-19

6.  Drug off-target effects predicted using structural analysis in the context of a metabolic network model.

Authors:  Roger L Chang; Li Xie; Lei Xie; Philip E Bourne; Bernhard Ø Palsson
Journal:  PLoS Comput Biol       Date:  2010-09-23       Impact factor: 4.475

Review 7.  Accomplishments in genome-scale in silico modeling for industrial and medical biotechnology.

Authors:  Caroline B Milne; Pan-Jun Kim; James A Eddy; Nathan D Price
Journal:  Biotechnol J       Date:  2009-12       Impact factor: 4.677

8.  Small Molecule Inhibitors of Metabolic Enzymes Repurposed as a New Class of Anthelmintics.

Authors:  Rahul Tyagi; Amarendar Reddy Maddirala; Mostafa Elfawal; Chelsea Fischer; Christina A Bulman; Bruce A Rosa; Xin Gao; Ryan Chugani; Mingzhou Zhou; Jon Helander; Paul J Brindley; Chih-Chung Tseng; Iain R Greig; Judy Sakanari; Scott A Wildman; Raffi Aroian; James W Janetka; Makedonka Mitreva
Journal:  ACS Infect Dis       Date:  2018-05-14       Impact factor: 5.084

9.  Impact of stoichiometry representation on simulation of genotype-phenotype relationships in metabolic networks.

Authors:  Ana Rita Brochado; Sergej Andrejev; Costas D Maranas; Kiran R Patil
Journal:  PLoS Comput Biol       Date:  2012-11-01       Impact factor: 4.475

Review 10.  Basic and applied uses of genome-scale metabolic network reconstructions of Escherichia coli.

Authors:  Douglas McCloskey; Bernhard Ø Palsson; Adam M Feist
Journal:  Mol Syst Biol       Date:  2013       Impact factor: 11.429

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