Network-based prediction of protein function Export

@article{Sharan2007, 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.}, author = {Sharan, Roded and Ulitsky, Igor and Shamir, Ron}, citeulike-article-id = {1159615}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/msb4100129}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/msb4100129}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/17353930}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=17353930}, day = {13}, doi = {10.1038/msb4100129}, issn = {1744-4292}, journal = {Molecular Systems Biology}, keywords = {function\_prediction, kernel}, month = {March}, posted-at = {2009-03-11 15:17:02}, priority = {2}, publisher = {Nature Publishing Group}, title = {Network-based prediction of protein function}, url = {http://dx.doi.org/10.1038/msb4100129}, volume = {3}, year = {2007} }

TY - JOUR ID - Sharan2007 L3 - citeulike-article-id:1159615 N2 - 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. JF - Molecular Systems Biology SN - 1744-4292 TI - Network-based prediction of protein function PB - Nature Publishing Group VL - 3 KW - function_prediction KW - kernel AU - Sharan, Roded AU - Ulitsky, Igor AU - Shamir, Ron PY - 2007/03/13/ UR - http://dx.doi.org/10.1038/msb4100129 ER -