Comparative analysis and unification of domain-domain interaction networks Export

@article{citeulike:5695279, abstract = {Motivation: Certain protein domains are known to preferentially interact with other domains. Several approaches have been proposed to predict domain-domain interactions, and over nine datasets are available. Our aim is to analyse the coverage and quality of the existing resources, as well as the extent of their overlap. With this knowledge, we have the opportunity to merge individual domain interaction networks to construct a comprehensive and reliable database. Results: In this article we introduce a new approach towards comparing domain-domain interaction networks. This approach is used to compare nine predicted domain and protein interaction networks. The networks were used to generate a database of unified domain interactions, UniDomInt. Each interaction in the dataset is scored according to the benchmarked reliability of the sources. The performance of UniDomInt is an improvement compared to the underlying source networks and to another composite resource, Domine. Availability: http://sonnhammer.sbc.su.se/download/UniDomInt/ Contact: Erik.Sonnhammer@sbc.su.se 10.1093/bioinformatics/btp522}, author = {Bjorkholm, Patrik and Sonnhammer, Erik L. L.}, booktitle = {Bioinformatics}, citeulike-article-id = {5695279}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/bioinformatics/btp522}, citeulike-linkout-1 = {http://bioinformatics.oxfordjournals.org/content/25/22/3020.abstract}, citeulike-linkout-2 = {http://bioinformatics.oxfordjournals.org/content/25/22/3020.full.pdf}, citeulike-linkout-3 = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/25/22/3020}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/19720675}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=19720675}, day = {15}, doi = {10.1093/bioinformatics/btp522}, journal = {Bioinformatics}, keywords = {network\_analysis, prediction\_ddi}, month = {November}, number = {22}, pages = {3020--3025}, posted-at = {2009-09-01 02:09:26}, priority = {3}, title = {Comparative analysis and unification of domain-domain interaction networks}, url = {http://dx.doi.org/10.1093/bioinformatics/btp522}, volume = {25}, year = {2009} }

TY - JOUR ID - citeulike:5695279 L3 - citeulike-article-id:5695279 N2 - Motivation: Certain protein domains are known to preferentially interact with other domains. Several approaches have been proposed to predict domain-domain interactions, and over nine datasets are available. Our aim is to analyse the coverage and quality of the existing resources, as well as the extent of their overlap. With this knowledge, we have the opportunity to merge individual domain interaction networks to construct a comprehensive and reliable database. Results: In this article we introduce a new approach towards comparing domain-domain interaction networks. This approach is used to compare nine predicted domain and protein interaction networks. The networks were used to generate a database of unified domain interactions, UniDomInt. Each interaction in the dataset is scored according to the benchmarked reliability of the sources. The performance of UniDomInt is an improvement compared to the underlying source networks and to another composite resource, Domine. Availability: http://sonnhammer.sbc.su.se/download/UniDomInt/ Contact: Erik.Sonnhammer@sbc.su.se 10.1093/bioinformatics/btp522 IS - 22 JF - Bioinformatics EP - 3025 TI - Comparative analysis and unification of domain-domain interaction networks VL - 25 T2 - Bioinformatics SP - 3020 KW - network_analysis KW - prediction_ddi AU - Bjorkholm, Patrik AU - Sonnhammer, Erik PY - 2009/11/15/ UR - http://dx.doi.org/10.1093/bioinformatics/btp522 ER -