Title :
On Constructing Thermodynamically Consistent Parametrizations of Kinetic Models
Author :
Jenkinson, W. Garrett ; Goutsias, John
Author_Institution :
Whitaker Biomed. Eng. Inst., Johns Hopkins Univ., Baltimore, MD, USA
fDate :
May 31 2010-June 3 2010
Abstract :
Experimental construction of biochemical reaction systems that model cellular behavior often leads to kinetic parameter values that do not satisfy important thermodynamic constraints, thus resulting in models that are not physically realizable. In this paper, we propose a method that takes thermodynamically infeasible published kinetic parameter values and recomputes a new set of thermodynamically consistent values. The method is based on formulating and implementing an appropriate constrained optimization problem by assuming that the molecular dynamics produced by the published values are “noisy” versions of the corresponding dynamics produced by the thermodynamically consistent “true” values.
Keywords :
biochemistry; molecular dynamics method; reaction kinetics; thermochemistry; biochemical reaction systems; cellular behavior; constrained optimization problem; kinetic models; molecular dynamics; thermodynamic constraints; thermodynamically consistent parametrizations; Bioinformatics; Biomedical engineering; Chaos; Constraint optimization; Kinetic theory; Monte Carlo methods; Noise generators; Open systems; Stochastic processes; Thermodynamics; biochemical models; inverse problem; kinetics; mass action; parameter estimation; systems biology; thermodynamics;
Conference_Titel :
BioInformatics and BioEngineering (BIBE), 2010 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4244-7494-3
DOI :
10.1109/BIBE.2010.42