Literature DB >> 22426344

Proteus: a web-based, context-specific modelling tool for molecular networks.

Florian Gnad1, Javier Estrada, Jeremy Gunawardena.   

Abstract

SUMMARY: Molecular networks are often studied in diverse cellular or experimental contexts, with highly context-specific details. Modelling introduces further choices as to levels of mathematical description. The resulting possibilities are difficult to explore rapidly, hampering the integration of modelling and experiment. We have developed Proteus, a web-based, context-specific tool for building compartmentalized, ordinary differential equation (ODE) models. It is inspired by the idea of a molecular 'toolkit' for Ca(2+) signalling. Toolkits in Proteus are context-independent representations of biological systems as sets of components, which may correspond to mechanisms of differing levels of complexity. Users pick and choose components from a toolkit and, for each component, pick and choose from different mechanisms, each of which describes a different instantiation of the component's mechanism. Proteus combines these choices into a system of ODEs, which may then be downloaded in SBML (Systems Biology Markup Language), Matlab or Fortran format and independently analyzed. Toolkits, components and mechanisms are user-constructible, either de novo or by cannibalizing existing models, including all those in the Biomodels database. A wide variety of context-specific models may thereby be rapidly built, modified and explored.
AVAILABILITY AND IMPLEMENTATION: Proteus, implemented in C#, and a prototype toolkit for modelling calcium signalling are freely and universally available at www.modularmodeling.com CONTACT: gnad.florian@gene.com; jeremy@hms.harvard.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Year:  2012        PMID: 22426344      PMCID: PMC3338017          DOI: 10.1093/bioinformatics/bts126

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


  9 in total

1.  Modular modeling of cellular systems with ProMoT/Diva.

Authors:  M Ginkel; A Kremling; T Nutsch; R Rehner; E D Gilles
Journal:  Bioinformatics       Date:  2003-06-12       Impact factor: 6.937

Review 2.  Calcium signalling: dynamics, homeostasis and remodelling.

Authors:  Michael J Berridge; Martin D Bootman; H Llewelyn Roderick
Journal:  Nat Rev Mol Cell Biol       Date:  2003-07       Impact factor: 94.444

Review 3.  Rules for modeling signal-transduction systems.

Authors:  William S Hlavacek; James R Faeder; Michael L Blinov; Richard G Posner; Michael Hucka; Walter Fontana
Journal:  Sci STKE       Date:  2006-07-18

Review 4.  Evolving a lingua franca and associated software infrastructure for computational systems biology: the Systems Biology Markup Language (SBML) project.

Authors:  M Hucka; A Finney; B J Bornstein; S M Keating; B E Shapiro; J Matthews; B L Kovitz; M J Schilstra; A Funahashi; J C Doyle; H Kitano
Journal:  Syst Biol (Stevenage)       Date:  2004-06

5.  Rule-based modeling of biochemical systems with BioNetGen.

Authors:  James R Faeder; Michael L Blinov; William S Hlavacek
Journal:  Methods Mol Biol       Date:  2009

6.  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

Review 7.  Modelling of simple and complex calcium oscillations. From single-cell responses to intercellular signalling.

Authors:  Stefan Schuster; Marko Marhl; Thomas Höfer
Journal:  Eur J Biochem       Date:  2002-03

8.  Repetitive transient rises in cytoplasmic free calcium in hormone-stimulated hepatocytes.

Authors:  N M Woods; K S Cuthbertson; P H Cobbold
Journal:  Nature       Date:  1986 Feb 13-19       Impact factor: 49.962

9.  BioModels Database: a free, centralized database of curated, published, quantitative kinetic models of biochemical and cellular systems.

Authors:  Nicolas Le Novère; Benjamin Bornstein; Alexander Broicher; Mélanie Courtot; Marco Donizelli; Harish Dharuri; Lu Li; Herbert Sauro; Maria Schilstra; Bruce Shapiro; Jacky L Snoep; Michael Hucka
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

  9 in total
  2 in total

1.  Programming biological models in Python using PySB.

Authors:  Carlos F Lopez; Jeremy L Muhlich; John A Bachman; Peter K Sorger
Journal:  Mol Syst Biol       Date:  2013       Impact factor: 11.429

2.  Cellular Interrogation: Exploiting Cell-to-Cell Variability to Discriminate Regulatory Mechanisms in Oscillatory Signalling.

Authors:  Javier Estrada; Natalie Andrew; Daniel Gibson; Frederick Chang; Florian Gnad; Jeremy Gunawardena
Journal:  PLoS Comput Biol       Date:  2016-07-01       Impact factor: 4.475

  2 in total

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