Literature DB >> 19669467

Approaches to biosimulation of cellular processes.

F J Bruggeman1, H V Westerhoff.   

Abstract

Modelling and simulation are at the heart of the rapidly developing field of systems biology. This paper reviews various types of models, simulation methods, and theoretical approaches that are presently being used in the quantitative description of cellular processes. We first describe how molecular interaction networks can be represented by means of stoichiometric, topological and kinetic models. We briefly discuss the formulation of kinetic models using mesoscopic (stochastic) or macroscopic (continuous) approaches, and we go on to describe how detailed models of molecular interaction networks (silicon cells) can be constructed on the basis of experimentally determined kinetic parameters for cellular processes. We show how theory can help in analyzing models by applying control analysis to a recently published silicon cell model. Finally, we review some of the theoretical approaches available to analyse kinetic models and experimental data, respectively.

Entities:  

Year:  2006        PMID: 19669467      PMCID: PMC2651526          DOI: 10.1007/s10867-006-9016-x

Source DB:  PubMed          Journal:  J Biol Phys        ISSN: 0092-0606            Impact factor:   1.365


  84 in total

Review 1.  PII signal transduction proteins.

Authors:  A J Ninfa; M R Atkinson
Journal:  Trends Microbiol       Date:  2000-04       Impact factor: 17.079

2.  Metabolic engineering of lactic acid bacteria, the combined approach: kinetic modelling, metabolic control and experimental analysis.

Authors:  Marcel H N Hoefnagel; Marjo J C Starrenburg; Dirk E Martens; Jeroen Hugenholtz; Michiel Kleerebezem; Iris I Van Swam; Roger Bongers; Hans V Westerhoff; Jacky L Snoep
Journal:  Microbiology (Reading)       Date:  2002-04       Impact factor: 2.777

3.  Network motifs: simple building blocks of complex networks.

Authors:  R Milo; S Shen-Orr; S Itzkovitz; N Kashtan; D Chklovskii; U Alon
Journal:  Science       Date:  2002-10-25       Impact factor: 47.728

4.  The kinetics of enzyme-catalyzed reactions with two or more substrates or products. I. Nomenclature and rate equations.

Authors:  W W CLELAND
Journal:  Biochim Biophys Acta       Date:  1963-01-08

5.  Sensitivity analysis of stoichiometric networks: an extension of metabolic control analysis to non-steady state trajectories.

Authors:  Brian P Ingalls; Herbert M Sauro
Journal:  J Theor Biol       Date:  2003-05-07       Impact factor: 2.691

6.  Kinetic model of mitochondrial Krebs cycle: unraveling the mechanism of salicylate hepatotoxic effects.

Authors:  Ekaterina Mogilevskaya; Oleg Demin; Igor Goryanin
Journal:  J Biol Phys       Date:  2006-10-26       Impact factor: 1.365

Review 7.  The danger of metabolic pathways with turbo design.

Authors:  B Teusink; M C Walsh; K van Dam; H V Westerhoff
Journal:  Trends Biochem Sci       Date:  1998-05       Impact factor: 13.807

8.  A linear steady-state treatment of enzymatic chains. General properties, control and effector strength.

Authors:  R Heinrich; T A Rapoport
Journal:  Eur J Biochem       Date:  1974-02-15

9.  Adenylylation of bacterial glutamine synthetase: physiological significance.

Authors:  S Kustu; J Hirschman; J C Meeks
Journal:  Curr Top Cell Regul       Date:  1985

10.  Some characteristics of the binding of substrates of glutamine synthetase from Escherichia coli.

Authors:  M D Denton; A Ginsburg
Journal:  Biochemistry       Date:  1970-02-03       Impact factor: 3.162

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  4 in total

1.  Mathematical modeling-guided evaluation of biochemical, developmental, environmental, and genotypic determinants of essential oil composition and yield in peppermint leaves.

Authors:  Rigoberto Rios-Estepa; Iris Lange; James M Lee; B Markus Lange
Journal:  Plant Physiol       Date:  2010-02-10       Impact factor: 8.340

2.  In Silico Augmentation of the Drug Development Pipeline: Examples from the study of Acute Inflammation.

Authors:  Gary An; John Bartels; Yoram Vodovotz
Journal:  Drug Dev Res       Date:  2011-03-01       Impact factor: 4.360

3.  Understanding complexity in neurodegenerative diseases: in silico reconstruction of emergence.

Authors:  Alexey Kolodkin; Evangelos Simeonidis; Rudi Balling; Hans V Westerhoff
Journal:  Front Physiol       Date:  2012-07-23       Impact factor: 4.566

Review 4.  Importance of understanding the main metabolic regulation in response to the specific pathway mutation for metabolic engineering of Escherichia coli.

Authors:  Yu Matsuoka; Kazuyuki Shimizu
Journal:  Comput Struct Biotechnol J       Date:  2013-01-16       Impact factor: 7.271

  4 in total

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