Literature DB >> 14683609

Next generation simulation tools: the Systems Biology Workbench and BioSPICE integration.

Herbert M Sauro1, Michael Hucka, Andrew Finney, Cameron Wellock, Hamid Bolouri, John Doyle, Hiroaki Kitano.   

Abstract

Researchers in quantitative systems biology make use of a large number of different software packages for modelling, analysis, visualization, and general data manipulation. In this paper, we describe the Systems Biology Workbench (SBW), a software framework that allows heterogeneous application components--written in diverse programming languages and running on different platforms--to communicate and use each others' capabilities via a fast binary encoded-message system. Our goal was to create a simple, high performance, opensource software infrastructure which is easy to implement and understand. SBW enables applications (potentially running on separate, distributed computers) to communicate via a simple network protocol. The interfaces to the system are encapsulated in client-side libraries that we provide for different programming languages. We describe in this paper the SBW architecture, a selection of current modules, including Jarnac, JDesigner, and SBWMeta-tool, and the close integration of SBW into BioSPICE, which enables both frameworks to share tools and compliment and strengthen each others capabilities.

Mesh:

Year:  2003        PMID: 14683609     DOI: 10.1089/153623103322637670

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  83 in total

Review 1.  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

Review 2.  Computational tools for metabolic engineering.

Authors:  Wilbert B Copeland; Bryan A Bartley; Deepak Chandran; Michal Galdzicki; Kyung H Kim; Sean C Sleight; Costas D Maranas; Herbert M Sauro
Journal:  Metab Eng       Date:  2012-05       Impact factor: 9.783

3.  SBML2TikZ: supporting the SBML render extension in LaTeX.

Authors:  Si Yuan Shen; Frank Bergmann; Herbert M Sauro
Journal:  Bioinformatics       Date:  2010-09-09       Impact factor: 6.937

Review 4.  A system biology approach to identify regulatory pathways underlying the neuroendocrine control of female puberty in rats and nonhuman primates.

Authors:  Alejandro Lomniczi; Hollis Wright; Juan Manuel Castellano; Kemal Sonmez; Sergio R Ojeda
Journal:  Horm Behav       Date:  2013-07       Impact factor: 3.587

5.  Trading the micro-world of combinatorial complexity for the macro-world of protein interaction domains.

Authors:  Nikolay M Borisov; Nick I Markevich; Jan B Hoek; Boris N Kholodenko
Journal:  Biosystems       Date:  2005-10-19       Impact factor: 1.973

Review 6.  Computational modelling of the receptor-tyrosine-kinase-activated MAPK pathway.

Authors:  Richard J Orton; Oliver E Sturm; Vladislav Vyshemirsky; Muffy Calder; David R Gilbert; Walter Kolch
Journal:  Biochem J       Date:  2005-12-01       Impact factor: 3.857

7.  CADLIVE dynamic simulator: direct link of biochemical networks to dynamic models.

Authors:  Hiroyuki Kurata; Kouichi Masaki; Yoshiyuki Sumida; Rei Iwasaki
Journal:  Genome Res       Date:  2005-04       Impact factor: 9.043

8.  Signaling through receptors and scaffolds: independent interactions reduce combinatorial complexity.

Authors:  Nikolay M Borisov; Nick I Markevich; Jan B Hoek; Boris N Kholodenko
Journal:  Biophys J       Date:  2005-05-27       Impact factor: 4.033

Review 9.  Mathematical modeling as a tool for investigating cell cycle control networks.

Authors:  Jill C Sible; John J Tyson
Journal:  Methods       Date:  2007-02       Impact factor: 3.608

10.  Quantitative Systems Pharmacology: A Framework for Context.

Authors:  Ioannis P Androulakis
Journal:  Curr Pharmacol Rep       Date:  2016-04-08
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