Rule-based modeling of biochemical networks

被引:92
作者
Faeder, JR [1 ]
Blinov, ML [1 ]
Goldstein, B [1 ]
Hlavacek, WS [1 ]
机构
[1] Los Alamos Natl Lab, Div Theoret, Theoret Biol & Biophys Grp, Los Alamos, NM 87545 USA
关键词
local rules; automatic model generation; networks; signal transduction; combinatorial complexity; systems biology;
D O I
10.1002/cplx.20074
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We present a method for generating a biochemical reaction network from a description of the interactions of components of biomolecules. The interactions are specified in the form of reaction rules, each of which defines a class of reaction associated with a type of interaction. Reactants within a class have shared properties, which are specified in the rule defining the class. A rule also provides a rate law, which governs each reaction in a class, and a template for transforming reactants into products. A set of reaction rules can be applied to a seed set Of chemical species and, subsequently, any new species that are found as products of reactions to generate a list of reactions and a list of the chemical species that participate in these reactions, i.e., a reaction network, which can be translated into a mathematical model. (c) 2005 Wiley Periodicals, Inc.
引用
收藏
页码:22 / 41
页数:20
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