Prediction of disease-gene-drug relationships following a differential network analysis.

ABSTRACT: Great efforts are being devoted to get a deeper understanding of disease-related dysregulations, which is central for introducing novel and more effective therapeutics in the clinics. However, most human diseases are highly multifactorial at the molecular level, involving dysregulation of multiple genes and interactions in gene regulatory networks. This issue hinders the elucidation of disease mechanism, including the identification of disease-causing genes and regulatory interactions. Most of current network-based approaches for the study of disease mechanisms do not take into account significant differences in gene regulatory network topology between healthy and disease phenotypes. Moreover, these approaches are not able to efficiently guide database search for connections between drugs,

SUBMITTER: Zickenrott S 

PROVIDER: S-EPMC4816176 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature