Literature DB >> 14637052

A mathematical model of the methionine cycle.

Michael C Reed1, H Frederik Nijhout, Rachel Sparks, Cornelia M Ulrich.   

Abstract

Building on the work of Martinov et al. (2000), a mathematical model is developed for the methionine cycle. A large amount of information is available about the enzymes that catalyse individual reaction steps in the cycle, from methionine to S-adenosylmethionine to S-adenosylhomocysteine to homocysteine, and the removal of mass from the cycle by the conversion of homocysteine to cystathionine. Nevertheless, the behavior of the cycle is very complicated since many substrates alter the activities of the enzymes in the reactions that produce them, and some can also alter the activities of other enzymes in the cycle. The model consists of four differential equations, based on known reaction kinetics, that can be solved to give the time course of the concentrations of the four main substrates in the cycle under various circumstances. We show that the behavior of the model in response to genetic abnormalities and dietary deficiencies is similar to the changes seen in a wide variety of experimental studies. We conduct computational "experiments" that give understanding of the regulatory behavior of the methionine cycle under normal conditions and the behavior in the presence of genetic variation and dietary deficiencies.

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Year:  2004        PMID: 14637052     DOI: 10.1016/j.jtbi.2003.08.001

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  35 in total

1.  Multistage sampling for latent variable models.

Authors:  Duncan C Thomas
Journal:  Lifetime Data Anal       Date:  2007-10-18       Impact factor: 1.588

2.  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

3.  Mechanism-based pharmacokinetic-pharmacodynamic modeling of bidirectional effect of danshensu on plasma homocysteine in rats.

Authors:  Yuancheng Chen; Yanguang Cao; Jia Zhou; Xiaoquan Liu
Journal:  Pharm Res       Date:  2009-05-07       Impact factor: 4.200

4.  Mathematical modeling of the methionine cycle and transsulfuration pathway in individuals with autism spectrum disorder.

Authors:  Troy Vargason; Daniel P Howsmon; Stepan Melnyk; S Jill James; Juergen Hahn
Journal:  J Theor Biol       Date:  2016-12-29       Impact factor: 2.691

5.  Perspective: Advancing Understanding of Population Nutrient-Health Relations via Metabolomics and Precision Phenotypes.

Authors:  Stephanie Andraos; Melissa Wake; Richard Saffery; David Burgner; Martin Kussmann; Justin O'Sullivan
Journal:  Adv Nutr       Date:  2019-11-01       Impact factor: 8.701

6.  Targeted metabolomics and mathematical modeling demonstrate that vitamin B-6 restriction alters one-carbon metabolism in cultured HepG2 cells.

Authors:  Vanessa R da Silva; Maria A Ralat; Eoin P Quinlivan; Barbara N DeRatt; Timothy J Garrett; Yueh-Yun Chi; H Frederik Nijhout; Michael C Reed; Jesse F Gregory
Journal:  Am J Physiol Endocrinol Metab       Date:  2014-05-13       Impact factor: 4.310

7.  Transcriptomic and proteomic profiling revealed global changes in Streptococcus thermophilus during pH-controlled batch fermentations.

Authors:  Yali Qiao; Cong Leng; Gefei Liu; Yanjiao Zhang; Xuepeng Lv; Hongyu Chen; Jiahui Sun; Zhen Feng
Journal:  J Microbiol       Date:  2019-06-14       Impact factor: 3.422

8.  The nutrigenetics of hyperhomocysteinemia: quantitative proteomics reveals differences in the methionine cycle enzymes of gene-induced versus diet-induced hyperhomocysteinemia.

Authors:  Patricia M DiBello; Sanjana Dayal; Suma Kaveti; Dongmei Zhang; Michael Kinter; Steven R Lentz; Donald W Jacobsen
Journal:  Mol Cell Proteomics       Date:  2009-12-14       Impact factor: 5.911

Review 9.  The logic of the hepatic methionine metabolic cycle.

Authors:  M V Martinov; V M Vitvitsky; R Banerjee; F I Ataullakhanov
Journal:  Biochim Biophys Acta       Date:  2009-10-13

10.  Mathematical modeling of folate metabolism.

Authors:  John C Panetta; Steven W Paugh; William E Evans
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-05-22
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