Literature DB >> 12801880

Modular modeling of cellular systems with ProMoT/Diva.

M Ginkel1, A Kremling, T Nutsch, R Rehner, E D Gilles.   

Abstract

MOTIVATION: Need for software to setup and analyze complex mathematical models for cellular systems in a modular way, that also integrates the experimental environment of the cells.
RESULTS: A computer framework is described which allows the building of modularly structured models using an abstract, modular and general modeling methodology. With this methodology, reusable modeling entities are introduced which lead to the development of a modeling library within the modeling tool ProMot. The simulation environment Diva is used for numerical analysis and parameter identification of the models. The simulation environment provides a number of tools and algorithms to simulate and analyze complex biochemical networks. The described tools are the first steps towards an integrated computer-based modeling, simulation and visualization environment Availability: Available on request to the authors. The software itself is free for scientific purposes but requires commercial libraries. SUPPLEMENTARY INFORMATION: http://www.mpi-magdeburg.mpg.de/projects/promot

Entities:  

Mesh:

Year:  2003        PMID: 12801880     DOI: 10.1093/bioinformatics/btg128

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


  21 in total

1.  Signal processing and flagellar motor switching during phototaxis of Halobacterium salinarum.

Authors:  Torsten Nutsch; Wolfgang Marwan; Dieter Oesterhelt; Ernst Dieter Gilles
Journal:  Genome Res       Date:  2003-10-14       Impact factor: 9.043

2.  A benchmark for methods in reverse engineering and model discrimination: problem formulation and solutions.

Authors:  Andreas Kremling; Sophia Fischer; Kapil Gadkar; Francis J Doyle; Thomas Sauter; Eric Bullinger; Frank Allgöwer; Ernst D Gilles
Journal:  Genome Res       Date:  2004-09       Impact factor: 9.043

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

Authors:  Florian Gnad; Javier Estrada; Jeremy Gunawardena
Journal:  Bioinformatics       Date:  2012-03-15       Impact factor: 6.937

4.  Subnetwork analysis reveals dynamic features of complex (bio)chemical networks.

Authors:  Carsten Conradi; Dietrich Flockerzi; Jörg Raisch; Jörg Stelling
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-27       Impact factor: 11.205

Review 5.  Designing and encoding models for synthetic biology.

Authors:  Lukas Endler; Nicolas Rodriguez; Nick Juty; Vijayalakshmi Chelliah; Camille Laibe; Chen Li; Nicolas Le Novère
Journal:  J R Soc Interface       Date:  2009-04-01       Impact factor: 4.118

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

7.  Model aggregation: a building-block approach to creating large macromolecular regulatory networks.

Authors:  Ranjit Randhawa; Clifford A Shaffer; John J Tyson
Journal:  Bioinformatics       Date:  2009-10-29       Impact factor: 6.937

8.  Model composition for macromolecular regulatory networks.

Authors:  Ranjit Randhawa; Clifford A Shaffer; John J Tyson
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2010 Apr-Jun       Impact factor: 3.710

9.  Discrete diffusion models to study the effects of Mg2+ concentration on the PhoPQ signal transduction system.

Authors:  Preetam Ghosh; Samik Ghosh; Kalyan Basu; Sajal K Das; Chaoyang Zhang
Journal:  BMC Genomics       Date:  2010-12-01       Impact factor: 3.969

10.  TinkerCell: modular CAD tool for synthetic biology.

Authors:  Deepak Chandran; Frank T Bergmann; Herbert M Sauro
Journal:  J Biol Eng       Date:  2009-10-29       Impact factor: 4.355

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