Literature DB >> 10753761

Mathematical modelling of metabolism.

A K Gombert1, J Nielsen.   

Abstract

Mathematical models of the cellular metabolism have a special interest within biotechnology. Many different kinds of commercially important products are derived from the cell factory, and metabolic engineering can be applied to improve existing production processes, as well as to make new processes available. Both stoichiometric and kinetic models have been used to investigate the metabolism, which has resulted in defining the optimal fermentation conditions, as well as in directing the genetic changes to be introduced in order to obtain a good producer strain or cell line. With the increasing availability of genomic information and powerful analytical techniques, mathematical models also serve as a tool for understanding the cellular metabolism and physiology.

Mesh:

Year:  2000        PMID: 10753761     DOI: 10.1016/s0958-1669(00)00079-3

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  31 in total

Review 1.  Metabolomics--the link between genotypes and phenotypes.

Authors:  Oliver Fiehn
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

2.  Unraveling the complex regulatory relationships between metabolism and signal transduction in cancer.

Authors:  Michelle L Wynn; Sofia D Merajver; Santiago Schnell
Journal:  Adv Exp Med Biol       Date:  2012       Impact factor: 2.622

3.  Genome-scale metabolic model of Helicobacter pylori 26695.

Authors:  Christophe H Schilling; Markus W Covert; Iman Famili; George M Church; Jeremy S Edwards; Bernhard O Palsson
Journal:  J Bacteriol       Date:  2002-08       Impact factor: 3.490

4.  Modeling of the role of a Bax-activation switch in the mitochondrial apoptosis decision.

Authors:  Chun Chen; Jun Cui; Haizhu Lu; Rui Wang; Shuai Zhang; Pingping Shen
Journal:  Biophys J       Date:  2007-03-30       Impact factor: 4.033

5.  Diverse metabolic model parameters generate similar methionine cycle dynamics.

Authors:  Matthew Piazza; Xiao-Jiang Feng; Joshua D Rabinowitz; Herschel Rabitz
Journal:  J Theor Biol       Date:  2007-12-23       Impact factor: 2.691

6.  Metabolic engineering of Klebsiella pneumoniae based on in silico analysis and its pilot-scale application for 1,3-propanediol and 2,3-butanediol co-production.

Authors:  Jong Myoung Park; Chelladurai Rathnasingh; Hyohak Song
Journal:  J Ind Microbiol Biotechnol       Date:  2016-12-31       Impact factor: 3.346

Review 7.  Recent advances in elementary flux modes and yield space analysis as useful tools in metabolic network studies.

Authors:  Predrag Horvat; Martin Koller; Gerhart Braunegg
Journal:  World J Microbiol Biotechnol       Date:  2015-06-12       Impact factor: 3.312

8.  A systematic investigation of Escherichia coli central carbon metabolism in response to superoxide stress.

Authors:  Bin Rui; Tie Shen; Hong Zhou; Jianping Liu; Jiusheng Chen; Xiaosong Pan; Haiyan Liu; Jihui Wu; Haoran Zheng; Yunyu Shi
Journal:  BMC Syst Biol       Date:  2010-09-01

9.  Description and interpretation of adaptive evolution of Escherichia coli K-12 MG1655 by using a genome-scale in silico metabolic model.

Authors:  Stephen S Fong; Jennifer Y Marciniak; Bernhard Ø Palsson
Journal:  J Bacteriol       Date:  2003-11       Impact factor: 3.490

10.  Modeling metabolic networks in C. glutamicum: a comparison of rate laws in combination with various parameter optimization strategies.

Authors:  Andreas Dräger; Marcel Kronfeld; Michael J Ziller; Jochen Supper; Hannes Planatscher; Jørgen B Magnus; Marco Oldiges; Oliver Kohlbacher; Andreas Zell
Journal:  BMC Syst Biol       Date:  2009-01-14
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