%0 Journal Article %1 Przytycka2010Toward %A Przytycka, Teresa M. %A Singh, Mona %A Slonim, Donna K. %D 2010 %I Oxford University Press %J Briefings in Bioinformatics %K dynamics interactions networks %N 1 %P bbp057--29 %R 10.1093/bib/bbp057 %T Toward the dynamic interactome: it's about time %U http://dx.doi.org/10.1093/bib/bbp057 %V 11 %X Dynamic molecular interactions play a central role in regulating the functioning of cells and organisms. The availability of experimentally determined large-scale cellular networks, along with other high-throughput experimental data sets that provide snapshots of biological systems at different times and conditions, is increasingly helpful in elucidating interaction dynamics. Here we review the beginnings of a new subfield within computational biology, one focused on the global inference and analysis of the dynamic interactome. This burgeoning research area, which entails a shift from static to dynamic network analysis, promises to be a major step forward in our ability to model and reason about cellular function and behavior.

@article{Przytycka2010Toward, abstract = {Dynamic molecular interactions play a central role in regulating the functioning of cells and organisms. The availability of experimentally determined large-scale cellular networks, along with other high-throughput experimental data sets that provide snapshots of biological systems at different times and conditions, is increasingly helpful in elucidating interaction dynamics. Here we review the beginnings of a new subfield within computational biology, one focused on the global inference and analysis of the dynamic interactome. This burgeoning research area, which entails a shift from static to dynamic network analysis, promises to be a major step forward in our ability to model and reason about cellular function and behavior.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {Przytycka, Teresa M. and Singh, Mona and Slonim, Donna K.}, biburl = {https://www.bibsonomy.org/bibtex/21cc337cd23f1c0adf154d1aa9a987c01/karthikraman}, citeulike-article-id = {6530429}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/bib/bbp057}, citeulike-linkout-1 = {http://bib.oxfordjournals.org/content/11/1/15.abstract}, citeulike-linkout-2 = {http://bib.oxfordjournals.org/content/11/1/15.full.pdf}, citeulike-linkout-3 = {http://bib.oxfordjournals.org/cgi/content/abstract/11/1/15}, citeulike-linkout-4 = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2810115/}, citeulike-linkout-5 = {http://view.ncbi.nlm.nih.gov/pubmed/20061351}, citeulike-linkout-6 = {http://www.hubmed.org/display.cgi?uids=20061351}, day = 08, doi = {10.1093/bib/bbp057}, interhash = {9bfe5089fa8d91d3327869adccd0185b}, intrahash = {1cc337cd23f1c0adf154d1aa9a987c01}, issn = {1477-4054}, journal = {Briefings in Bioinformatics}, keywords = {dynamics interactions networks}, month = jan, number = 1, pages = {bbp057--29}, pmcid = {PMC2810115}, pmid = {20061351}, posted-at = {2010-01-12 14:57:52}, priority = {4}, publisher = {Oxford University Press}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {Toward the dynamic interactome: it's about time}, url = {http://dx.doi.org/10.1093/bib/bbp057}, volume = 11, year = 2010 }