Biochemical network of drug-induced enzyme production: parameter estimation based on the periodic dosing response measurement

Title:

Biochemical network of drug-induced enzyme production: parameter estimation based on the periodic dosing response measurement

Creator:

Lynnyk, Volodymyr, Papáček, Štěpán, and Rehák, Branislav

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:8d60a065-49f7-4744-b38b-6570631fb7cb
uuid:8d60a065-49f7-4744-b38b-6570631fb7cb
doi:10.14736/kyb-2021-6-1005

Subject:

parameter estimation, dynamical system, systems pharmacology, biochemical network, input-output regulation, and fast Fourier transform

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The well-known bottleneck of systems pharmacology, i. e., systems biology applied to pharmacology, refers to the model parameters determination from experimentally measured datasets. This paper represents the development of our earlier studies devoted to inverse (ill-posed) problems of model parameters identification. The key feature of this research is the introduction of control (or periodic forcing by an input signal being a drug intake) of the nonlinear model of drug-induced enzyme production in the form of a system of ordinary differential equations. First, we tested the model features under periodic dosing, and subsequently, we provided an innovative method for a parameter estimation based on the periodic dosing response measurement. A numerical example approved the satisfactory behavior of the proposed algorithm.

Language:

English

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

1005-1018

Source:

Kybernetika | 2021 Volume:57 | Number:6

Harvested from:

CDK

Metadata only:

false