Computational discovery of dynamic cell line specific Boolean networks from multiplex time-course data.

ABSTRACT: Protein signaling networks are static views of dynamic processes where proteins go through many biochemical modifications such as ubiquitination and phosphorylation to propagate signals that regulate cells and can act as feed-back systems. Understanding the precise mechanisms underlying protein interactions can elucidate how signaling and cell cycle progression occur within cells in different diseases such as cancer. Large-scale protein signaling networks contain an important number of experimentally verified protein relations but lack the capability to predict the outcomes of the system, and therefore to be trained with respect to experimental measurements. Boolean Networks (BNs) are a simple yet powerful framework to study and model the dynamics of the protein signaling networks. While m

SUBMITTER: Razzaq M 

PROVIDER: S-EPMC6224120 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature