Network‐based prediction of protein function
Year: 2007
Type: review
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.
Source: Molecular Systems Biology
DOI: 10.1038/msb4100129
Authors: Roded Sharan, Igor Ulitsky, Ron Shamir
Institution: Tel Aviv University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $7,990
OpenAlex ID: W2166468869