Nullspace approach to determine the elementary modes of chemical reaction systems

被引:43
作者
Wagner, C [1 ]
机构
[1] Univ Bern, Inst Pharmacol, CH-3010 Bern, Switzerland
关键词
D O I
10.1021/jp034523f
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The analysis of a chemical reaction network by elementary flux modes is a very elegant method to deal with the stationary states of the system. Each steady state of the network can be represented as a convex combination of these modes. They are elements of the nullspace of the stoichiometry matrix due to the imposed steady-state condition. We propose an approach, which first derives the basis vectors of the nullspace and then calculates the elementary modes by an apt linear combination of the basis vectors. The algorithm exploits the special representation of the nullspace matrix in the space of flows and the fact that elementary modes consist of a minimal set of flows. These two ingredients lead to construction rules, which diminish the combinatorial possibilities to design elementary modes and, hence, reduce the computational costs. Further, we show that the algorithm also accounts for reversible reactions. If a system includes reversible reactions, it can be transformed into an unidirectional network by considering the forward and the backward flow separately. We derive a projection operator, which reveals the interrelationship between the two representations.
引用
收藏
页码:2425 / 2431
页数:7
相关论文
共 17 条
[1]  
[Anonymous], 1974, THEORIE LINEAREN PAR
[2]   COMPLETE SET OF STEADY-STATES FOR THE GENERAL STOICHIOMETRIC DYNAMICAL SYSTEM [J].
CLARKE, BL .
JOURNAL OF CHEMICAL PHYSICS, 1981, 75 (10) :4970-4979
[3]  
Clarke BL, 1980, ADV CHEM PHYS, V43
[4]   The Escherichia coli MG1655 in silico metabolic genotype:: Its definition, characteristics, and capabilities [J].
Edwards, JS ;
Palsson, BO .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2000, 97 (10) :5528-5533
[5]   In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data [J].
Edwards, JS ;
Ibarra, RU ;
Palsson, BO .
NATURE BIOTECHNOLOGY, 2001, 19 (02) :125-130
[6]   MULTIPLE REACTION-MECHANISMS IN CATALYSIS [J].
HAPPEL, J ;
SELLERS, PH .
INDUSTRIAL & ENGINEERING CHEMISTRY FUNDAMENTALS, 1982, 21 (01) :67-76
[7]  
Heinrich R., 1996, REGULATION CELLULAR, DOI DOI 10.1007/978-1-4613-1161-4
[8]   Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth [J].
Ibarra, RU ;
Edwards, JS ;
Palsson, BO .
NATURE, 2002, 420 (6912) :186-189
[9]  
SCHUSTER R, 1993, COMPUT APPL BIOSCI, V9, P79
[10]   A general definition of metabolic pathways useful for systematic organization and analysis of complex metabolic networks [J].
Schuster, S ;
Fell, DA ;
Dandekar, T .
NATURE BIOTECHNOLOGY, 2000, 18 (03) :326-332