Literature DB >> 15217809

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

Michael L Blinov1, James R Faeder, Byron Goldstein, William S Hlavacek.   

Abstract

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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Year:  2004        PMID: 15217809     DOI: 10.1093/bioinformatics/bth378

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  127 in total

1.  Leveraging modeling approaches: reaction networks and rules.

Authors:  Michael L Blinov; Ion I Moraru
Journal:  Adv Exp Med Biol       Date:  2012       Impact factor: 2.622

Review 2.  Software for systems biology: from tools to integrated platforms.

Authors:  Samik Ghosh; Yukiko Matsuoka; Yoshiyuki Asai; Kun-Yi Hsin; Hiroaki Kitano
Journal:  Nat Rev Genet       Date:  2011-11-03       Impact factor: 53.242

3.  Dramatic reduction of dimensionality in large biochemical networks owing to strong pair correlations.

Authors:  Michael Dworkin; Sayak Mukherjee; Ciriyam Jayaprakash; Jayajit Das
Journal:  J R Soc Interface       Date:  2012-02-29       Impact factor: 4.118

Review 4.  Classic and contemporary approaches to modeling biochemical reactions.

Authors:  William W Chen; Mario Niepel; Peter K Sorger
Journal:  Genes Dev       Date:  2010-09-01       Impact factor: 11.361

5.  Timescale analysis of rule-based biochemical reaction networks.

Authors:  David J Klinke; Stacey D Finley
Journal:  Biotechnol Prog       Date:  2011-09-26

6.  Rule-based modelling and simulation of biochemical systems with molecular finite automata.

Authors:  J Yang; X Meng; W S Hlavacek
Journal:  IET Syst Biol       Date:  2010-11       Impact factor: 1.615

7.  Shaping the response: the role of FcεRI and Syk expression levels in mast cell signaling.

Authors:  Ambarish Nag; James R Faeder; Byron Goldstein
Journal:  IET Syst Biol       Date:  2010-11       Impact factor: 1.615

8.  SpringSaLaD: A Spatial, Particle-Based Biochemical Simulation Platform with Excluded Volume.

Authors:  Paul J Michalski; Leslie M Loew
Journal:  Biophys J       Date:  2016-02-02       Impact factor: 4.033

9.  Spatial aspects in biological system simulations.

Authors:  Haluk Resat; Michelle N Costa; Harish Shankaran
Journal:  Methods Enzymol       Date:  2011       Impact factor: 1.600

10.  Kinetic Monte Carlo method for rule-based modeling of biochemical networks.

Authors:  Jin Yang; Michael I Monine; James R Faeder; William S Hlavacek
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-09-10
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