Simple data-driven models of intracellular calcium dynamics with predictive power

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Biology is complex. However, it is not clear how much of this complexity must necessarily translate into complicated mathematical models of biological processes. Simple models can be appealing to physicists but are usually deceiving for biologists. Complicated models, on the other hand, depend on to...

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Autor principal: Ventura, A.C
Otros Autores: Bruno, Luciana, Dawson, S.P
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 2006
Acceso en línea:Registro en Scopus
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Biblioteca Central Dr. Luis F. Leloir (FCEN) de Universidad de Buenos Aires
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100 1 |a Ventura, A.C. 
245 1 0 |a Simple data-driven models of intracellular calcium dynamics with predictive power 
260 |c 2006 
270 1 0 |m Ventura, A.C.; Departamento de Física, Facultad de Ciencias Exactas y Naturales, Pabellón I, (1428) Buenos Aires, Argentina 
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504 |a Bruno, L., Ventura, A.C., Dargan, S., Parker, I., Ponce Dawson, S., 
506 |2 openaire  |e Política editorial 
520 3 |a Biology is complex. However, it is not clear how much of this complexity must necessarily translate into complicated mathematical models of biological processes. Simple models can be appealing to physicists but are usually deceiving for biologists. Complicated models, on the other hand, depend on too many parameters whose values are frequently unknown. Therefore, complicated models, although in principle more realistic, can lead to erroneous results if they are sensitive to these unknown parameter values. Intracellular calcium signals provide an example of utmost biological importance in which the issue of "simple vs complex" can be explored. In this paper we show that simple models describing the dynamics of intracellular calcium can be directly inferred from experimental data, without no a priori information on unknown parameters. A similar approach can be followed to study other reaction-diffusion systems. In spite of their simplicity, these models can provide quantitative information on some of the processes that shape calcium signals, such as the calcium current that underlies an experimental observation. This shows that simple models of biological systems are not limited to qualitative descriptions. © 2006 The American Physical Society.  |l eng 
593 |a Departamento de Física, Facultad de Ciencias Exactas y Naturales, Pabellón I, (1428) Buenos Aires, Argentina 
690 1 0 |a COMPUTATIONAL COMPLEXITY 
690 1 0 |a DATA HANDLING 
690 1 0 |a DIFFUSION 
690 1 0 |a INVERSE KINEMATICS 
690 1 0 |a MATHEMATICAL MODELS 
690 1 0 |a PARAMETER ESTIMATION 
690 1 0 |a BIOLOGICAL SYSTEMS 
690 1 0 |a DATA DRIVEN MODELS 
690 1 0 |a DIFFUSION SYSTEMS 
690 1 0 |a INTRACELLULAR CALCIUM 
690 1 0 |a CALCIUM 
700 1 |a Bruno, Luciana 
700 1 |a Dawson, S.P. 
773 0 |d 2006  |g v. 74  |k n. 1  |p Phys. Rev. E Stat. Nonlinear Soft Matter Phys.  |x 15393755  |t Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 
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