Identifying Protein Complexes from Dynamic Temporal Interval Protein-Protein Interaction Networks.

ABSTRACT: Identification of protein complex is very important for revealing the underlying mechanism of biological processes. Many computational methods have been developed to identify protein complexes from static protein-protein interaction (PPI) networks. Recently, researchers are considering the dynamics of protein-protein interactions. Dynamic PPI networks are closer to reality in the cell system. It is expected that more protein complexes can be accurately identified from dynamic PPI networks. In this paper, we use the undulating degree above the base level of gene expression instead of the gene expression level to construct dynamic temporal PPI networks. Further we convert dynamic temporal PPI networks into dynamic Temporal Interval Protein Interaction Networks (TI-PINs) and propose a novel m

SUBMITTER: Zhang J 

PROVIDER: S-EPMC6720829 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature