<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>The paper deals with the analysis of signaling pathways aimed at uncovering new regulatory processes regulating cell responses. First, general issues of comparing simulation and experimental data are discussed, and various aspects of data normalization are covered. Then, a model of a particular signaling pathway, induced by Interferon-β, is briefly introduced. It serves as an example illustrating how mathematical modeling can be used for inferring the structure of a regulatory system governing the dynamics of intracellular processes. In this pathway, experimental results suggest that a hitherto unknown process is responsible for a decrease in the levels of one of the important molecules used in the pathway. Then, equilibrium points of the model are analyzed, allowing the rejection of all but one explanation of the phenomena observed experimentally. Numerical simulations confirm that the model can mimic the dynamics of the processes in the pathway under consideration. Finally, some remarks about the applicability of the method based on an analysis of equilibrium points are made.</p></abstract>

The paper deals with the analysis of signaling pathways aimed at uncovering new regulatory processes regulating cell responses. First, general issues of comparing simulation and experimental data are discussed, and various aspects of data normalization are covered. Then, a model of a particular signaling pathway, induced by Interferon-β, is briefly introduced. It serves as an example illustrating how mathematical modeling can be used for inferring the structure of a regulatory system governing the dynamics of intracellular processes. In this pathway, experimental results suggest that a hitherto unknown process is responsible for a decrease in the levels of one of the important molecules used in the pathway. Then, equilibrium points of the model are analyzed, allowing the rejection of all but one explanation of the phenomena observed experimentally. Numerical simulations confirm that the model can mimic the dynamics of the processes in the pathway under consideration. Finally, some remarks about the applicability of the method based on an analysis of equilibrium points are made.

Coupled analytical and numerical approach to uncovering new regulatory mechanisms of intracellular processes

Institute of Automatic Control, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland

International Journal of Applied Mathematics and Computer Science

The paper deals with the analysis of signaling pathways aimed at uncovering new regulatory processes regulating cell responses. First, general issues of...

Coupled analytical and numerical approach to uncovering new regulatory mechanisms of intracellular processes

Published Online: Dec 20, 2010

Page range: 781 - 788

DOI: https://doi.org/10.2478/v10006-010-0060-0

Keywords
signaling pathways, equilibrium points, simulation

This content is open access.

Coupled analytical and numerical approach to uncovering new regulatory mechanisms of intracellular processes

Published Online: Dec 20, 2010

Page range: 781 - 788

DOI: https://doi.org/10.2478/v10006-010-0060-0

Keywordssignaling pathways, equilibrium points, simulation

This content is open access.

Keywords
signaling pathways, equilibrium points, simulation