%0 Journal Article %1 Smialowski2010Negatome %A Smialowski, Pawel %A Pagel, Philipp %A Wong, Philip %A Brauner, Barbara %A Dunger, Irmtraud %A Fobo, Gisela %A Frishman, Goar %A Montrone, Corinna %A Rattei, Thomas %A Frishman, Dmitrij %A Ruepp, Andreas %B Nucl. Acids Res. %D 2010 %I Oxford University Press %J Nucleic Acids Research %K database protein-protein-interactions %N suppl 1 %P D540--D544 %R 10.1093/nar/gkp1026 %T The Negatome database: a reference set of non-interacting protein pairs %U http://dx.doi.org/10.1093/nar/gkp1026 %V 38 %X The Negatome is a collection of protein and domain pairs that are unlikely to be engaged in direct physical interactions. The database currently contains experimentally supported non-interacting protein pairs derived from two distinct sources: by manual curation of literature and by analyzing protein complexes with known 3D structure. More stringent lists of non-interacting pairs were derived from these two datasets by excluding interactions detected by high-throughput approaches. Additionally, non-interacting protein domains have been derived from the stringent manual and structural data, respectively. The Negatome is much less biased toward functionally dissimilar proteins than the negative data derived by randomly selecting proteins from different cellular locations. It can be used to evaluate protein and domain interactions from new experiments and improve the training of interaction prediction algorithms. The Negatome database is available at http://mips.helmholtz-muenchen.de/proj/ppi/negatome.

@article{Smialowski2010Negatome, abstract = {The Negatome is a collection of protein and domain pairs that are unlikely to be engaged in direct physical interactions. The database currently contains experimentally supported non-interacting protein pairs derived from two distinct sources: by manual curation of literature and by analyzing protein complexes with known {3D} structure. More stringent lists of non-interacting pairs were derived from these two datasets by excluding interactions detected by high-throughput approaches. Additionally, non-interacting protein domains have been derived from the stringent manual and structural data, respectively. The Negatome is much less biased toward functionally dissimilar proteins than the negative data derived by randomly selecting proteins from different cellular locations. It can be used to evaluate protein and domain interactions from new experiments and improve the training of interaction prediction algorithms. The Negatome database is available at http://mips.helmholtz-muenchen.de/proj/ppi/negatome.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {Smialowski, Pawel and Pagel, Philipp and Wong, Philip and Brauner, Barbara and Dunger, Irmtraud and Fobo, Gisela and Frishman, Goar and Montrone, Corinna and Rattei, Thomas and Frishman, Dmitrij and Ruepp, Andreas}, biburl = {https://www.bibsonomy.org/bibtex/21e7fba7272c93b8d2a6e934091e87342/karthikraman}, booktitle = {Nucl. Acids Res.}, citeulike-article-id = {6207859}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/nar/gkp1026}, citeulike-linkout-1 = {http://nar.oxfordjournals.org/content/gkp1026v1/.abstract}, citeulike-linkout-2 = {http://nar.oxfordjournals.org/content/gkp1026v1/.full.pdf}, citeulike-linkout-3 = {http://nar.oxfordjournals.org/cgi/content/abstract/38/suppl\_1/D540}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/19920129}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=19920129}, day = 01, doi = {10.1093/nar/gkp1026}, interhash = {2dbcad7c9ec6e5ff9f1313f144305b0b}, intrahash = {1e7fba7272c93b8d2a6e934091e87342}, issn = {1362-4962}, journal = {Nucleic Acids Research}, keywords = {database protein-protein-interactions}, month = jan, number = {suppl 1}, pages = {D540--D544}, pmid = {19920129}, posted-at = {2009-12-09 10:24:49}, priority = {2}, publisher = {Oxford University Press}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {The Negatome database: a reference set of non-interacting protein pairs}, url = {http://dx.doi.org/10.1093/nar/gkp1026}, volume = 38, year = 2010 }