Easy parameter identifiability analysis with COPASI.
Biosystems
; 110(3): 183-5, 2012 Dec.
Article
en En
| MEDLINE
| ID: mdl-23041463
BACKGROUND AND SCOPE: Differential equation systems modeling biochemical reaction networks can only give quantitative predictions, when they are in accordance with experimental data. However, even if a model can well recapitulate given data, it is often the case that some of its kinetic parameters can be arbitrarily chosen without significantly affecting the simulation results. This indicates a lack of appropriate data to determine those parameters. In this case, the parameter is called to be practically non-identifiable. Well-identified parameters are paramount for reliable quantitative predictions and, therefore, identifiability analysis is an important topic in modeling of biochemical reaction networks. Here, we describe a hidden feature of the free modeling software COPASI, which can be exploited to easily and quickly conduct a parameter identifiability analysis of differential equation systems by calculating likelihood profiles. The proposed combination of an established method for parameter identifiability analysis with the user-friendly features of COPASI offers an easy and rapid access to parameter identifiability analysis even for non-experts. AVAILABILITY: COPASI is freely available for academic use at http://www.copasi.org.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Simulación por Computador
/
Programas Informáticos
/
Biología de Sistemas
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Modelos Biológicos
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Biosystems
Año:
2012
Tipo del documento:
Article
País de afiliación:
Alemania
Pais de publicación:
Irlanda