Hidden information revealed by optimal community structure from a protein-complex bipartite network improves protein function prediction.

ABSTRACT: The task of extracting the maximal amount of information from a biological network has drawn much attention from researchers, for example, predicting the function of a protein from a protein-protein interaction (PPI) network. It is well known that biological networks consist of modules/communities, a set of nodes that are more densely inter-connected among themselves than with the rest of the network. However, practical applications of utilizing the community information have been rather limited. For protein function prediction on a network, it has been shown that none of the existing community-based protein function prediction methods outperform a simple neighbor-based method. Recently, we have shown that proper utilization of a highly optimal modularity community structure for protein fu

SUBMITTER: Lee J 

PROVIDER: S-EPMC3618231 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature