Unknown

Dataset Information

Formal modeling and analysis of ER-α associated Biological Regulatory Network in breast cancer.


ABSTRACT:

Background

Breast cancer (BC) is one of the leading cause of death among females worldwide. The increasing incidence of BC is due to various genetic and environmental changes which lead to the disruption of cellular signaling network(s). It is a complex disease in which several interlinking signaling cascades play a crucial role in establishing a complex regulatory network. The logical modeling approach of René Thomas has been applied to analyze the behavior of estrogen receptor-alpha (ER-α) associated Biological Regulatory Network (BRN) for a small part of complex events that leads to BC metastasis.

Methods

A discrete model was constructed using the kinetic logic formalism and its set of logical parameters were obtained using the model checking technique implemented

SUBMITTER: Khalid S 

PROVIDER: S-EPMC5075711 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature