Literature DB >> 11294796

Dynamic simulation of the human red blood cell metabolic network.

N Jamshidi1, J S Edwards, T Fahland, G M Church, B O Palsson.   

Abstract

We have developed a Mathematica application package to perform dynamic simulations of the red blood cell (RBC) metabolic network. The package relies on, and integrates, many years of mathematical modeling and biochemical work on red blood cell metabolism. The extensive data regarding the red blood cell metabolic network and the previous kinetic analysis of all the individual components makes the human RBC an ideal 'model' system for mathematical metabolic models. The Mathematica package can be used to understand the dynamics and regulatory characteristics of the red blood cell.

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Year:  2001        PMID: 11294796     DOI: 10.1093/bioinformatics/17.3.286

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


  32 in total

1.  Description and analysis of metabolic connectivity and dynamics in the human red blood cell.

Authors:  Kenneth J Kauffman; John David Pajerowski; Neema Jamshidi; Bernhard O Palsson; Jeremy S Edwards
Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

2.  Extreme pathway analysis of human red blood cell metabolism.

Authors:  Sharon J Wiback; Bernhard O Palsson
Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

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Journal:  Ann N Y Acad Sci       Date:  2004-05       Impact factor: 5.691

4.  Mass action stoichiometric simulation models: incorporating kinetics and regulation into stoichiometric models.

Authors:  Neema Jamshidi; Bernhard Ø Palsson
Journal:  Biophys J       Date:  2010-01-20       Impact factor: 4.033

Review 5.  Biochemical and statistical network models for systems biology.

Authors:  Nathan D Price; Ilya Shmulevich
Journal:  Curr Opin Biotechnol       Date:  2007-08-03       Impact factor: 9.740

Review 6.  Clinical metabolomics: the next stage of clinical biochemistry.

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7.  Syzygium cumini is more effective in preventing the increase of erythrocytic ADA activity than phenolic compounds under hyperglycemic conditions in vitro.

Authors:  Karine S De Bona; Gabriela Bonfanti; Paula E R Bitencourt; Lariane O Cargnelutti; Priscila S da Silva; Thainan P da Silva; Régis A Zanette; Aline S Pigatto; Maria B Moretto
Journal:  J Physiol Biochem       Date:  2014-01-10       Impact factor: 4.158

8.  Network-level analysis of metabolic regulation in the human red blood cell using random sampling and singular value decomposition.

Authors:  Christian L Barrett; Nathan D Price; Bernhard O Palsson
Journal:  BMC Bioinformatics       Date:  2006-03-13       Impact factor: 3.169

9.  A systems biology framework for modeling metabolic enzyme inhibition of Mycobacterium tuberculosis.

Authors:  Xin Fang; Anders Wallqvist; Jaques Reifman
Journal:  BMC Syst Biol       Date:  2009-09-15

Review 10.  Nutritional systems biology modeling: from molecular mechanisms to physiology.

Authors:  Albert A de Graaf; Andreas P Freidig; Baukje De Roos; Neema Jamshidi; Matthias Heinemann; Johan A C Rullmann; Kevin D Hall; Martin Adiels; Ben van Ommen
Journal:  PLoS Comput Biol       Date:  2009-11-26       Impact factor: 4.475

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