BioNetGen: software for rule-based modeling of signal transduction based on the interactions of molecular domains

被引：269

作者：

Blinov, ML ^{[1
]}

Faeder, JR ^{[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

来源：

BIOINFORMATICS | 2004年 / 20卷 / 17期

关键词：

D O I：

10.1093/bioinformatics/bth378

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

BioNetGen allows a user to create a computational model that characterizes the dynamics of a signal transduction system, and that accounts comprehensively and precisely for specified enzymatic activities, potential post-translational modifications and interactions of the domains of signaling molecules. The output defines and parameterizes the network of molecular species that can arise during signaling and provides functions that relate model variables to experimental readouts of interest. Models that can be generated are relevant for rational drug discovery, analysis of proteomic data and mechanistic studies of signal transduction.

引用

页码：3289 / 3291

页数：3

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