Literature DB >> 17954223

A guide to biochemical systems modeling of sphingolipids for the biochemist.

Kellie J Sims1, Fernando Alvarez-Vasquez, Eberhard O Voit, Yusuf A Hannun.   

Abstract

The last several years have brought an avalanche of data from various high throughput, genome-wide analyses of yeast and other model organisms. Still, scientists struggle to comprehend the complex behavior of biological systems. One method that has been available for decades but now is more necessary than ever is the mathematical modeling of biological systems. Unfortunately, a chasm of terminology and techniques has separated most biologists from mathematical modelers. This chapter hopes to bridge that gap for metabolic models by delineating the general process used to develop a system of differential equations that describes a biochemical pathway. This modeling process can be generally applied to many biological phenomena. In addition, the specific approach of Biochemical Systems Theory (BST) is demonstrated for the nitty-gritty details of the model equations. These methods are demonstrated using the core section of ceramide metabolism in yeast.

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Year:  2007        PMID: 17954223     DOI: 10.1016/S0076-6879(07)32013-2

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  5 in total

Review 1.  Sphingolipid and glycosphingolipid metabolic pathways in the era of sphingolipidomics.

Authors:  Alfred H Merrill
Journal:  Chem Rev       Date:  2011-09-26       Impact factor: 60.622

2.  Biochemical systems analysis of signaling pathways to understand fungal pathogenicity.

Authors:  Jacqueline Garcia; Kellie J Sims; John H Schwacke; Maurizio Del Poeta
Journal:  Methods Mol Biol       Date:  2011

3.  Identification of cancer mechanisms through computational systems modeling.

Authors:  Zhen Qi; Eberhard O Voit
Journal:  Transl Cancer Res       Date:  2014-06-01       Impact factor: 1.241

4.  Mathematical modeling and validation of the ergosterol pathway in Saccharomyces cerevisiae.

Authors:  Fernando Alvarez-Vasquez; Howard Riezman; Yusuf A Hannun; Eberhard O Voit
Journal:  PLoS One       Date:  2011-12-14       Impact factor: 3.240

5.  Canonical modeling of the multi-scale regulation of the heat stress response in yeast.

Authors:  Luis L Fonseca; Po-Wei Chen; Eberhard O Voit
Journal:  Metabolites       Date:  2012-02-27
  5 in total

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