Mathematical simulation and analysis of cellular metabolism and regulation

117Citations
Citations of this article
61Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Motivation: A better understanding of the biological phenomena observed in cells requires the creation and analysis of mathematical models of cellular metabolism and physiology. The formulation and study of such models must also be simplified as far as possible to cope with the increasing complexity demanded and exponential accumulation of the metabolic reconstructions computed from sequenced genomes. Results: A mathematical simulation workbench, DBsolve, has been developed to simplify the derivation and analysis of mathematical models. It combines: (i) derivation of large-scale mathematical models from metabolic reconstructions and other data sources; (ii) solving and parameter continuation of non-linear algebraic equations (NAEs), including metabolic control analysis; (iii) solving the non-linear stiff systems of ordinary differential equations (ODEs); (iv) bifurcation analysis of ODEs; (v) parameters fitting to experimental data or functional criteria based on constrained optimization. The workbench has been successfully used for dynamic metabolic modeling of some typical biochemical networks including microbial glycolytic pathways, signal transduction pathways and receptor-ligand interactions. Availability: DBsolve 5.00 is freely available from http://websites.ntl.com/~igor.goryanin.

Cite

CITATION STYLE

APA

Goryanin, I., Hodgman, T. C., & Selkov, E. (1999). Mathematical simulation and analysis of cellular metabolism and regulation. Bioinformatics, 15(9), 749–758. https://doi.org/10.1093/bioinformatics/15.9.749

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free