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GEPASI: a software package for modelling the dynamics, steady states and control of biochemical and other systems
Open accessAbstract
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.
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Cited by
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de Jong, H. (2002) · Journal of Computational Biology · doi:10.1089/10665270252833208 · Cited by 2,663
COPASI—a COmplex PAthway SImulator
Hoops, S., Sahle, S., Gauges, R., Lee, C., Pahle, J., Simus, N., Singhal, M., Xu, L., Mendes, P., & Kummer, U. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl485 · Cited by 2,618
Self-citationParameter estimation in biochemical pathways: a comparison of global optimization methods
Moles, C. G., Mendes, P., & Banga, J. R. (2003) · Genome Research · doi:10.1101/gr.1262503 · Cited by 858
Self-citationDiscovery of meaningful associations in genomic data using partial correlation coefficients
de la Fuente, A., Bing, N., Hoeschele, I., & Mendes, P. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth445 · Cited by 553
Self-citationCuevasanta, E., Lange, M., Bonanata, J., Coitiño, E. L., Ferrer-Sueta, G., Filipovic, M. R., & Alvarez, B. (2015) · Journal of Biological Chemistry · doi:10.1074/jbc.m115.672816 · Cited by 344
Metadata
- Authors
- Mendes, P.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 1993
- Volume
- 9
- Issue
- 5
- Pages
- 563-571
- ISSN
- 0266-7061 (ISSN-L)
- 1367-4803
- 1460-2059
- OpenAlex
- W1963861745
- Cited by
- 519
- References
- 0
- FWCI
- 0.75
- Type
- journal article
- Language
- en
- Open access
- hybrid
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