Literature DB >> 3450354

A discrete model of bacterial metabolism.

M R Watson1.   

Abstract

This paper describes a computer model of the intermediary metabolism of bacteria during steady-state growth and during adaptations, e.g. to new carbon sources. Metabolic regulation is represented as a process of optimisation, in which the trend is towards improved metabolic performance. The model uses linear programming techniques for the optimisation. The implementation falls into four phases: (i) assembly of model parameters; (ii) calculations; (iii) storage of solutions and (iv) projection of solutions. The use of a commercial database and a commercial spreadsheet has proved to be of great assistance in the first and third phases. A metabolic map format, with the optional addition of conversion values, names of enzymes or co-factors has been used to project the results in a form convenient for inspection.

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Year:  1986        PMID: 3450354     DOI: 10.1093/bioinformatics/2.1.23

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  7 in total

1.  Regulatory on/off minimization of metabolic flux changes after genetic perturbations.

Authors:  Tomer Shlomi; Omer Berkman; Eytan Ruppin
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-16       Impact factor: 11.205

2.  Use of game-theoretical methods in biochemistry and biophysics.

Authors:  Stefan Schuster; Jan-Ulrich Kreft; Anja Schroeter; Thomas Pfeiffer
Journal:  J Biol Phys       Date:  2008-08-06       Impact factor: 1.365

Review 3.  The best models of metabolism.

Authors:  Eberhard O Voit
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2017-05-19

4.  Genome-scale dynamic modeling of the competition between Rhodoferax and Geobacter in anoxic subsurface environments.

Authors:  Kai Zhuang; Mounir Izallalen; Paula Mouser; Hanno Richter; Carla Risso; Radhakrishnan Mahadevan; Derek R Lovley
Journal:  ISME J       Date:  2010-07-29       Impact factor: 10.302

5.  Stoichiometric interpretation of Escherichia coli glucose catabolism under various oxygenation rates.

Authors:  A Varma; B W Boesch; B O Palsson
Journal:  Appl Environ Microbiol       Date:  1993-08       Impact factor: 4.792

6.  Stoichiometric flux balance models quantitatively predict growth and metabolic by-product secretion in wild-type Escherichia coli W3110.

Authors:  A Varma; B O Palsson
Journal:  Appl Environ Microbiol       Date:  1994-10       Impact factor: 4.792

7.  A scalable metabolite supplementation strategy against antibiotic resistant pathogen Chromobacterium violaceum induced by NAD+/NADH+ imbalance.

Authors:  Deepanwita Banerjee; Dharmeshkumar Parmar; Nivedita Bhattacharya; Avinash D Ghanate; Venkateswarlu Panchagnula; Anu Raghunathan
Journal:  BMC Syst Biol       Date:  2017-04-26
  7 in total

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