Predicting diabetes mellitus genes via protein-protein interaction and protein subcellular localization information.

ABSTRACT:

Background

Diabetes mellitus characterized by hyperglycemia as a result of insufficient production of or reduced sensitivity to insulin poses a growing threat to the health of people. It is a heterogeneous disorder with multiple etiologies consisting of type 1 diabetes, type 2 diabetes, gestational diabetes and so on. Diabetes-associated protein/gene prediction is a key step to understand the cellular mechanisms related to diabetes mellitus. Compared with experimental methods, computational predictions of candidate proteins/genes are cheaper and more effortless. Protein-protein interaction (PPI) data produced by the high-throughput technology have been used to prioritize candidate disease genes/proteins. However, the false interactions in the PPI data seriously hurt computational m

SUBMITTER: Tang X 

PROVIDER: S-EPMC5001230 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature