Running summarizing tools on a new article

Check the paper below, then start its synthesis.


Network‐based prediction of protein function

Roded Sharan (Tel Aviv University), Igor Ulitsky (Tel Aviv University), Ron Shamir A (Tel Aviv University)

Molecular Systems Biology
DOI: 10.1038/msb4100129 (Biochemistry, Genetics and Molecular Biology)
License: not stated (all rights reserved)

Abstract: Functional annotation of proteins is a fundamental problem in the post-genomic era. The recent availability of protein interaction networks for many model species has spurred on the development of computational methods for interpreting such data in order to elucidate protein function. In this review, we describe the current computational approaches for the task, including direct methods, which propagate functional information through the network, and module-assisted methods, which infer functional modules within the network and use those for the annotation task. Although a broad variety of interesting approaches has been developed, further progress in the field will depend on systematic evaluation of the methods and their dissemination in the biological community.

Published on 13 Mar. 2007