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

Michael L. Blinov | Zendy; James R. Faeder | Zendy; Byron Goldstein | Zendy; William S. Hlavacek | Zendy

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

Author(s) -

Michael L. Blinov,

James R. Faeder,

Byron Goldstein,

William S. Hlavacek

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bth378

Subject(s) - signal transduction , computer science , computational biology , signal (programming language) , software , drug discovery , transduction (biophysics) , biological system , biology , bioinformatics , microbiology and biotechnology , biochemistry , programming language

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.

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