A comparison of the functional modules identified from time course and static PPI network data.

ABSTRACT:

Background

Cellular systems are highly dynamic and responsive to cues from the environment. Cellular function and response patterns to external stimuli are regulated by biological networks. A protein-protein interaction (PPI) network with static connectivity is dynamic in the sense that the nodes implement so-called functional activities that evolve in time. The shift from static to dynamic network analysis is essential for further understanding of molecular systems.

Results

In this paper, Time Course Protein Interaction Networks (TC-PINs) are reconstructed by incorporating time series gene expression into PPI networks. Then, a clustering algorithm is used to create functional modules from three kinds of networks: the TC-PINs, a static PPI network and a pseudorandom network.

SUBMITTER: Tang X 

PROVIDER: S-EPMC3174950 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature