Literature DB >> 15613400

Exploring the diversity of complex metabolic networks.

Vassily Hatzimanikatis1, Chunhui Li, Justin A Ionita, Christopher S Henry, Matthew D Jankowski, Linda J Broadbelt.   

Abstract

MOTIVATION: Metabolism, the network of chemical reactions that make life possible, is one of the most complex processes in nature. We describe here the development of a computational approach for the identification of every possible biochemical reaction from a given set of enzyme reaction rules that allows the de novo synthesis of metabolic pathways composed of these reactions, and the evaluation of these novel pathways with respect to their thermodynamic properties.
RESULTS: We applied this framework to the analysis of the aromatic amino acid pathways and discovered almost 75,000 novel biochemical routes from chorismate to phenylalanine, more than 350,000 from chorismate to tyrosine, but only 13 from chorismate to tryptophan. Thermodynamic analysis of these pathways suggests that the native pathways are thermodynamically more favorable than the alternative possible pathways. The pathways generated involve compounds that exist in biological databases, as well as compounds that exist in chemical databases and novel compounds, suggesting novel biochemical routes for these compounds and the existence of biochemical compounds that remain to be discovered or synthesized through enzyme and pathway engineering. AVAILABILITY: Framework will be available via web interface at http://systemsbiology.northwestern.edu/BNICE (site under construction). CONTACT: vassily@northwestern.edu or broadbelt@northwestern.edu SUPPLEMENTARY INFORMATION: http://systemsbiology.northwestern.edu/BNICE/publications.

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Year:  2004        PMID: 15613400     DOI: 10.1093/bioinformatics/bti213

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  98 in total

Review 1.  Computational tools for the synthetic design of biochemical pathways.

Authors:  Marnix H Medema; Renske van Raaphorst; Eriko Takano; Rainer Breitling
Journal:  Nat Rev Microbiol       Date:  2012-01-23       Impact factor: 60.633

Review 2.  Systematizing the generation of missing metabolic knowledge.

Authors:  Jeffrey D Orth; Bernhard Ø Palsson
Journal:  Biotechnol Bioeng       Date:  2010-10-15       Impact factor: 4.530

3.  Timescale analysis of rule-based biochemical reaction networks.

Authors:  David J Klinke; Stacey D Finley
Journal:  Biotechnol Prog       Date:  2011-09-26

4.  Enumerating metabolic pathways for the production of heterologous target chemicals in chassis organisms.

Authors:  Pablo Carbonell; Davide Fichera; Shashi B Pandit; Jean-Loup Faulon
Journal:  BMC Syst Biol       Date:  2012-02-06

5.  Systems approach to refining genome annotation.

Authors:  Jennifer L Reed; Trina R Patel; Keri H Chen; Andrew R Joyce; Margaret K Applebee; Christopher D Herring; Olivia T Bui; Eric M Knight; Stephen S Fong; Bernhard O Palsson
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-06       Impact factor: 11.205

6.  Group contribution method for thermodynamic analysis of complex metabolic networks.

Authors:  Matthew D Jankowski; Christopher S Henry; Linda J Broadbelt; Vassily Hatzimanikatis
Journal:  Biophys J       Date:  2008-08       Impact factor: 4.033

Review 7.  Systems metabolic engineering of microorganisms for natural and non-natural chemicals.

Authors:  Jeong Wook Lee; Dokyun Na; Jong Myoung Park; Joungmin Lee; Sol Choi; Sang Yup Lee
Journal:  Nat Chem Biol       Date:  2012-05-17       Impact factor: 15.040

8.  Metabolic engineering: from retrofitting to green field.

Authors:  Lars K Nielsen
Journal:  Nat Chem Biol       Date:  2011-06-17       Impact factor: 15.040

9.  Prediction of metabolic reactions based on atomic and molecular properties of small-molecule compounds.

Authors:  Fangping Mu; Clifford J Unkefer; Pat J Unkefer; William S Hlavacek
Journal:  Bioinformatics       Date:  2011-04-08       Impact factor: 6.937

10.  Brønsted-Evans-Polanyi relationships for C-C bond forming and C-C bond breaking reactions in thiamine-catalyzed decarboxylation of 2-keto acids using density functional theory.

Authors:  Rajeev Surendran Assary; Linda J Broadbelt; Larry A Curtiss
Journal:  J Mol Model       Date:  2011-04-27       Impact factor: 1.810

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