An extended gene protein/products Boolean network model including post-transcriptional regulation.

ABSTRACT:

Background

Networks Biology allows the study of complex interactions between biological systems using formal, well structured, and computationally friendly models. Several different network models can be created, depending on the type of interactions that need to be investigated. Gene Regulatory Networks (GRN) are an effective model commonly used to study the complex regulatory mechanisms of a cell. Unfortunately, given their intrinsic complexity and non discrete nature, the computational study of realistic-sized complex GRNs requires some abstractions. Boolean Networks (BNs), for example, are a reliable model that can be used to represent networks where the possible state of a node is a boolean value (0 or 1). Despite this strong simplification, BNs have been used to study both st

SUBMITTER: Benso A 

PROVIDER: S-EPMC4108923 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature