Predicting functions of proteins in mouse based on weighted protein-protein interaction network and protein hybrid properties.

ABSTRACT:

Background

With the huge amount of uncharacterized protein sequences generated in the post-genomic age, it is highly desirable to develop effective computational methods for quickly and accurately predicting their functions. The information thus obtained would be very useful for both basic research and drug development in a timely manner.

Methodology/principal findings

Although many efforts have been made in this regard, most of them were based on either sequence similarity or protein-protein interaction (PPI) information. However, the former often fails to work if a query protein has no or very little sequence similarity to any function-known proteins, while the latter had similar problem if the relevant PPI information is not available. In view of this, a new approach is p

SUBMITTER: Hu L 

PROVIDER: S-EPMC3023709 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature