Parameter estimation of kinetic models from metabolic profiles: two-phase dynamic decoupling method.

ABSTRACT:

Motivation

Time-series measurements of metabolite concentration have become increasingly more common, providing data for building kinetic models of metabolic networks using ordinary differential equations (ODEs). In practice, however, such time-course data are usually incomplete and noisy, and the estimation of kinetic parameters from these data is challenging. Practical limitations due to data and computational aspects, such as solving stiff ODEs and finding global optimal solution to the estimation problem, give motivations to develop a new estimation procedure that can circumvent some of these constraints.

Results

In this work, an incremental and iterative parameter estimation method is proposed that combines and iterates between two estimation phases. One phase involves

SUBMITTER: Jia G 

PROVIDER: S-EPMC6281308 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature