Unknown

Dataset Information

Identification of polycystic ovary syndrome potential drug targets based on pathobiological similarity in the protein-protein interaction network.


ABSTRACT: Polycystic ovary syndrome (PCOS) is one of the most common endocrinological disorders in reproductive aged women. PCOS and Type 2 Diabetes (T2D) are closely linked in multiple levels and possess high pathobiological similarity. Here, we put forward a new computational approach based on the pathobiological similarity to identify PCOS potential drug target modules (PPDT-Modules) and PCOS potential drug targets in the protein-protein interaction network (PPIN). From the systems level and biological background, 1 PPDT-Module and 22 PCOS potential drug targets were identified, 21 of which were verified by literatures to be associated with the pathogenesis of PCOS. 42 drugs targeting to 13 PCOS potential drug targets were investigated experimentally or clinically for PCOS. Evaluated by independe

SUBMITTER: Huang H 

PROVIDER: S-EPMC5122359 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature