Design of experiments for identification of complex biochemical systems with applications to mitochondrial bioenergetics. Annu Int Conf IEEE Eng Med Biol Soc 2009;2009:4171-4
Date
12/08/2009Pubmed ID
19964622Pubmed Central ID
PMC2810972DOI
10.1109/IEMBS.2009.5333935Scopus ID
2-s2.0-77951007535 (requires institutional sign-in at Scopus site) 1 CitationAbstract
Identification of a complex biochemical system model requires appropriate experimental data. Models constructed on the basis of data from the literature often contain parameters that are not identifiable with high sensitivity and therefore require additional experimental data to identify those parameters. Here we report the application of a local sensitivity analysis to design experiments that will improve the identifiability of previously unidentifiable model parameters in a model of mitochondrial oxidative phosphorylation and tricaboxylic acid cycle. Experiments were designed based on measurable biochemical reactants in a dilute suspension of purified cardiac mitochondria with experimentally feasible perturbations to this system. Experimental perturbations and variables yielding the most number of parameters above a 5% sensitivity level are presented and discussed.
Author List
Vinnakota KC, Beard DA, Dash RKAuthor
Ranjan K. Dash PhD Professor in the Biomedical Engineering department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
AlgorithmsAnimals
Biomedical Engineering
Buffers
Electrophysiology
Energy Metabolism
Equipment Design
Heart
Humans
Mitochondria
Myocardium
Oxidative Phosphorylation
Phosphorylation
Reproducibility of Results
Time Factors
Tricarboxylic Acids
