Literature DB >> 8293329

GEPASI: a software package for modelling the dynamics, steady states and control of biochemical and other systems.

P Mendes1.   

Abstract

GEPASI is a software system for modelling chemical and biochemical reaction networks on computers running Microsoft Windows. For any system of up to 45 metabolites and 45 reactions, each with any user-defined or one of 35 predefined rate equations, one can produce trajectories of the metabolite concentrations and obtain a steady state (if it does exist). When steady-state solutions are produced, elasticity and control coefficients, as defined in metabolic control analysis, are calculated. GEPASI also allows the automatic generation of a sequence of simulations with different combinations of parameter values, effectively scanning a hyper-solid in parameter space. Together with the ability to produce user-defined columnar data files, these features allow for both very quick and systematic study of biochemical pathway models. The source code (in C) is available on request from the author, and while the user interface is dependent on having MS-Windows as the operating system, the numerical part is portable to other operating systems. GEPASI is suitable both for research and educational purposes. Although GEPASI was written with biochemical pathways in mind, it can equally be used to stimulate other dynamical systems.

Mesh:

Year:  1993        PMID: 8293329     DOI: 10.1093/bioinformatics/9.5.563

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  92 in total

1.  Sensitive detection of DNA polymorphisms by the serial invasive signal amplification reaction.

Authors:  J G Hall; P S Eis; S M Law; L P Reynaldo; J R Prudent; D J Marshall; H T Allawi; A L Mast; J E Dahlberg; R W Kwiatkowski; M de Arruda; B P Neri; V I Lyamichev
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-18       Impact factor: 11.205

2.  An integrated study of threonine-pathway enzyme kinetics in Escherichia coli.

Authors:  C Chassagnole; B Raïs; E Quentin; D A Fell; J P Mazat
Journal:  Biochem J       Date:  2001-06-01       Impact factor: 3.857

3.  The aMAZE LightBench: a web interface to a relational database of cellular processes.

Authors:  Christian Lemer; Erick Antezana; Fabian Couche; Frédéric Fays; Xavier Santolaria; Rekin's Janky; Yves Deville; Jean Richelle; Shoshana J Wodak
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

4.  Parameter estimation in biochemical pathways: a comparison of global optimization methods.

Authors:  Carmen G Moles; Pedro Mendes; Julio R Banga
Journal:  Genome Res       Date:  2003-10-14       Impact factor: 9.043

5.  Discretization of time series data.

Authors:  Elena S Dimitrova; M Paola Vera Licona; John McGee; Reinhard Laubenbacher
Journal:  J Comput Biol       Date:  2010-06       Impact factor: 1.479

6.  Discrimination between conformational selection and induced fit protein-ligand binding using Integrated Global Fit analysis.

Authors:  Franz-Josef Meyer-Almes
Journal:  Eur Biophys J       Date:  2015-11-04       Impact factor: 1.733

7.  The catalytic and conformational cycle of Aquifex aeolicus KDO8P synthase: role of the L7 loop.

Authors:  Xingjue Xu; Fathima Kona; Jian Wang; Jinshuang Lu; Timothy Stemmler; Domenico L Gatti
Journal:  Biochemistry       Date:  2005-09-20       Impact factor: 3.162

8.  Experimental and theoretical studies on the excess capacity of Photosystem II.

Authors:  Radek Kana; Dusan Lazár; Ondrej Prásil; Jan Naus
Journal:  Photosynth Res       Date:  2002       Impact factor: 3.573

9.  Monitoring and modeling 4-chlorophenol biodegradation kinetics by phenol-acclimated activated sludge by using open respirometry.

Authors:  Cintia C Lobo; Nora C Bertola; Edgardo M Contreras; Noemí E Zaritzky
Journal:  Environ Sci Pollut Res Int       Date:  2017-07-20       Impact factor: 4.223

10.  Modeling the energy transfer pathways. creatine kinase activities and heterogeneous distribution of ADP in the perfused heart.

Authors:  F Joubert; J A Hoerter; J L Mazet
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

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