Nonparametric simulation of signal transduction networks with semi-synchronized update.

ABSTRACT: Simulating signal transduction in cellular signaling networks provides predictions of network dynamics by quantifying the changes in concentration and activity-level of the individual proteins. Since numerical values of kinetic parameters might be difficult to obtain, it is imperative to develop non-parametric approaches that combine the connectivity of a network with the response of individual proteins to signals which travel through the network. The activity levels of signaling proteins computed through existing non-parametric modeling tools do not show significant correlations with the observed values in experimental results. In this work we developed a non-parametric computational framework to describe the profile of the evolving process and the time course of the proportion of active

SUBMITTER: Nassiri I 

PROVIDER: S-EPMC3380921 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature