Synonyms
Definition
Dynamic experiments refer to the lab measurements performed under time-varying stimulation conditions. Optimal dynamic experiments are those that have been designed to attend to a given optimality criteria (Walter and Pronzato 1997). The optimal design problem is formulated as a dynamic optimization (Biochemical Systems Optimization Through Mathematical Programming) problem where the objective is to compute the experimental setup that maximizes (or minimizes) a performance index subject to the system dynamics, mathematical representation (model or models), and the experimental constraints (Balsa-Canto et al. 2010).
Characteristics
Definition: Model Candidates
Model candidates are each of the mathematical structures that encode different hypothesis to describe a given system behavior. Each of the model candidates (Σ(p)i) may be formulated as:
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Balsa-Canto E, Alonso AA, Banga JR (2010) An iterative identification procedure for dynamic modeling of biochemical networks. BMC Syst Biol 4:11
Horst R, Pardalos PM (1995) Handbook of global optimization. Kluwer, Dordrecht
Lipniacki T, Paszek P, Brasier A, Luxon B, Kimmel M (2004) Mathematical model of NFκB regulatory module. J Theor Biol 228:195–215
Talbi E-G (2009) Metaheuristics: from design to implementation. Wiley, Hoboken
Walter E, Pronzato L (1997) Identification of parametric models from experimental data. Springer, Masson
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media, LLC
About this entry
Cite this entry
Balsa-Canto, E., Banga, J.R. (2013). Optimal Dynamic Experiments. In: Dubitzky, W., Wolkenhauer, O., Cho, KH., Yokota, H. (eds) Encyclopedia of Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9863-7_1220
Download citation
DOI: https://doi.org/10.1007/978-1-4419-9863-7_1220
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-9862-0
Online ISBN: 978-1-4419-9863-7
eBook Packages: Biomedical and Life SciencesReference Module Biomedical and Life Sciences