Modeling cellular machinery through biological network comparison. Export

@article{citeulike:578988, abstract = {Molecular networks represent the backbone of molecular activity within the cell. Recent studies have taken a comparative approach toward interpreting these networks, contrasting networks of different species and molecular types, and under varying conditions. In this review, we survey the field of comparative biological network analysis and describe its applications to elucidate cellular machinery and to predict protein function and interaction. We highlight the open problems in the field as well as propose some initial mathematical formulations for addressing them. Many of the methodological and conceptual advances that were important for sequence comparison will likely also be important at the network level, including improved search algorithms, techniques for multiple alignment, evolutionary models for similarity scoring and better integration with public databases.}, author = {Sharan, Roded and Ideker, Trey}, citeulike-article-id = {578988}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nbt1196}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nbt1196}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/16601728}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=16601728}, day = {06}, doi = {10.1038/nbt1196}, issn = {1087-0156}, journal = {Nature biotechnology}, keywords = {network-analysis, protein-function-prediction, protein-protein-interactions}, month = {April}, number = {4}, pages = {427--433}, posted-at = {2007-05-22 06:30:37}, priority = {2}, publisher = {Nature Publishing Group}, title = {Modeling cellular machinery through biological network comparison.}, url = {http://dx.doi.org/10.1038/nbt1196}, volume = {24}, year = {2006} }

TY - JOUR ID - citeulike:578988 L3 - citeulike-article-id:578988 N2 - Molecular networks represent the backbone of molecular activity within the cell. Recent studies have taken a comparative approach toward interpreting these networks, contrasting networks of different species and molecular types, and under varying conditions. In this review, we survey the field of comparative biological network analysis and describe its applications to elucidate cellular machinery and to predict protein function and interaction. We highlight the open problems in the field as well as propose some initial mathematical formulations for addressing them. Many of the methodological and conceptual advances that were important for sequence comparison will likely also be important at the network level, including improved search algorithms, techniques for multiple alignment, evolutionary models for similarity scoring and better integration with public databases. IS - 4 JF - Nature biotechnology SN - 1087-0156 EP - 433 TI - Modeling cellular machinery through biological network comparison. PB - Nature Publishing Group VL - 24 SP - 427 KW - network-analysis KW - protein-function-prediction KW - protein-protein-interactions AU - Sharan, Roded AU - Ideker, Trey PY - 2006/04/06/ UR - http://dx.doi.org/10.1038/nbt1196 ER -