Literature DB >> 19399433

Computational modeling of biochemical networks using COPASI.

Pedro Mendes1, Stefan Hoops, Sven Sahle, Ralph Gauges, Joseph Dada, Ursula Kummer.   

Abstract

Computational modeling and simulation of biochemical networks is at the core of systems biology and this includes many types of analyses that can aid understanding of how these systems work. COPASI is a generic software package for modeling and simulation of biochemical networks which provides many of these analyses in convenient ways that do not require the user to program or to have deep knowledge of the numerical algorithms. Here we provide a description of how these modeling techniques can be applied to biochemical models using COPASI. The focus is both on practical aspects of software usage as well as on the utility of these analyses in aiding biological understanding. Practical examples are described for steady-state and time-course simulations, stoichiometric analyses, parameter scanning, sensitivity analysis (including metabolic control analysis), global optimization, parameter estimation, and stochastic simulation. The examples used are all published models that are available in the BioModels database in SBML format.

Mesh:

Year:  2009        PMID: 19399433     DOI: 10.1007/978-1-59745-525-1_2

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  58 in total

Review 1.  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

2.  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

Review 3.  Rule-based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems.

Authors:  Lily A Chylek; Leonard A Harris; Chang-Shung Tung; James R Faeder; Carlos F Lopez; William S Hlavacek
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-09-30

4.  CytoSolve: A Scalable Computational Method for Dynamic Integration of Multiple Molecular Pathway Models.

Authors:  V A Shiva Ayyadurai; C Forbes Dewey
Journal:  Cell Mol Bioeng       Date:  2010-10-23       Impact factor: 2.321

Review 5.  Systems biology for molecular life sciences and its impact in biomedicine.

Authors:  Miguel Ángel Medina
Journal:  Cell Mol Life Sci       Date:  2012-08-19       Impact factor: 9.261

6.  Crosstalk between the lipopolysaccharide and phospholipid pathways during outer membrane biogenesis in Escherichia coli.

Authors:  Akintunde Emiola; Steven S Andrews; Carolin Heller; John George
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-29       Impact factor: 11.205

7.  Multiscale Modelling Tool: Mathematical modelling of collective behaviour without the maths.

Authors:  James A R Marshall; Andreagiovanni Reina; Thomas Bose
Journal:  PLoS One       Date:  2019-09-30       Impact factor: 3.240

8.  Simulation and visualization of multiple KEGG pathways using BioNSi.

Authors:  Adva Yeheskel; Adam Reiter; Metsada Pasmanik-Chor; Amir Rubinstein
Journal:  F1000Res       Date:  2017-12-11

Review 9.  Modeling of spatially-restricted intracellular signaling.

Authors:  Susana R Neves
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2011-07-15

10.  BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models.

Authors:  Chen Li; Marco Donizelli; Nicolas Rodriguez; Harish Dharuri; Lukas Endler; Vijayalakshmi Chelliah; Lu Li; Enuo He; Arnaud Henry; Melanie I Stefan; Jacky L Snoep; Michael Hucka; Nicolas Le Novère; Camille Laibe
Journal:  BMC Syst Biol       Date:  2010-06-29
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