Literature DB >> 12651737

Cellerator: extending a computer algebra system to include biochemical arrows for signal transduction simulations.

Bruce E Shapiro1, Andre Levchenko, Elliot M Meyerowitz, Barbara J Wold, Eric D Mjolsness.   

Abstract

Cellerator describes single and multi-cellular signal transduction networks (STN) with a compact, optionally palette-driven, arrow-based notation to represent biochemical reactions and transcriptional activation. Multi-compartment systems are represented as graphs with STNs embedded in each node. Interactions include mass-action, enzymatic, allosteric and connectionist models. Reactions are translated into differential equations and can be solved numerically to generate predictive time courses or output as systems of equations that can be read by other programs. Cellerator simulations are fully extensible and portable to any operating system that supports Mathematica, and can be indefinitely nested within larger data structures to produce highly scaleable models.

Keywords:  NASA Discipline Cell Biology; NASA Program Fundamental Space Biology; Non-NASA Center

Mesh:

Year:  2003        PMID: 12651737     DOI: 10.1093/bioinformatics/btg042

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


  28 in total

1.  MathSBML: a package for manipulating SBML-based biological models.

Authors:  Bruce E Shapiro; Michael Hucka; Andrew Finney; John Doyle
Journal:  Bioinformatics       Date:  2004-04-15       Impact factor: 6.937

Review 2.  Systems biology in immunology: a computational modeling perspective.

Authors:  Ronald N Germain; Martin Meier-Schellersheim; Aleksandra Nita-Lazar; Iain D C Fraser
Journal:  Annu Rev Immunol       Date:  2011       Impact factor: 28.527

3.  Pycellerator: an arrow-based reaction-like modelling language for biological simulations.

Authors:  Bruce E Shapiro; Eric Mjolsness
Journal:  Bioinformatics       Date:  2015-10-26       Impact factor: 6.937

Review 4.  Consistent design schematics for biological systems: standardization of representation in biological engineering.

Authors:  Yukiko Matsuoka; Samik Ghosh; Hiroaki Kitano
Journal:  J R Soc Interface       Date:  2009-06-03       Impact factor: 4.118

5.  Programming with models: modularity and abstraction provide powerful capabilities for systems biology.

Authors:  Aneil Mallavarapu; Matthew Thomson; Benjamin Ullian; Jeremy Gunawardena
Journal:  J R Soc Interface       Date:  2009-03-06       Impact factor: 4.118

6.  The efficiency of reactant site sampling in network-free simulation of rule-based models for biochemical systems.

Authors:  Jin Yang; William S Hlavacek
Journal:  Phys Biol       Date:  2011-08-10       Impact factor: 2.583

7.  A dynamic model of interactions of Ca2+, calmodulin, and catalytic subunits of Ca2+/calmodulin-dependent protein kinase II.

Authors:  Shirley Pepke; Tamara Kinzer-Ursem; Stefan Mihalas; Mary B Kennedy
Journal:  PLoS Comput Biol       Date:  2010-02-12       Impact factor: 4.475

8.  Modelling the response of FOXO transcription factors to multiple post-translational modifications made by ageing-related signalling pathways.

Authors:  Graham R Smith; Daryl P Shanley
Journal:  PLoS One       Date:  2010-06-14       Impact factor: 3.240

9.  Simulating in vitro transcriptional response of zinc homeostasis system in Escherichia coli.

Authors:  Jiangjun Cui; Jaap A Kaandorp; Catherine M Lloyd
Journal:  BMC Syst Biol       Date:  2008-10-24

10.  Modeling metabolic networks in C. glutamicum: a comparison of rate laws in combination with various parameter optimization strategies.

Authors:  Andreas Dräger; Marcel Kronfeld; Michael J Ziller; Jochen Supper; Hannes Planatscher; Jørgen B Magnus; Marco Oldiges; Oliver Kohlbacher; Andreas Zell
Journal:  BMC Syst Biol       Date:  2009-01-14
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