A Genome-wide Ras-Effector Interaction Network.

@article{citeulike:1389103, abstract = {Here using structural information and protein design tools we have drawn the network of interactions between 20 Ras subfamily proteins with 50 putative Ras binding domains. To validate this network we have cloned six poorly characterized Ras binding domains (RBD) and two Ras proteins (RERG, DiRas1). These, together with previously described RBD domains, Ras and Rap proteins have been analyzed in 70 pull-down experiments. Comparing our interaction network with these and previous pull-down experiments (total of 150 cases) shows a very high accuracy for distinguishing between binders and non-binders ( approximately 0.80). Bioinformatics information was integrated to distinguish those in vitro interactions that are more likely to be relevant in vivo. We proposed several new interactions between Ras family members and effector domains that are of relevance in understanding the physiological role of these proteins. More broadly our results demonstrate that (domain-domain) interaction specificities between members of protein families can be accurately predicted using structural information.}, address = {Structural and computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany; EMBL-CRG Systems Biology Unit, CRG-Centre de Regulacio Genomica, Dr. Aiguader 88, 08003 Barcelona, Spain.}, author = {Kiel, Christina and Foglierini, Mathilde and Kuemmerer, Nico and Beltrao, Pedro and Serrano, Luis }, citeulike-article-id = {1389103}, doi = {10.1016/j.jmb.2007.05.015}, issn = {0022-2836}, journal = {J Mol Biol}, keywords = {prediction\_ddi, specificity}, month = {May}, posted-at = {2008-06-28 08:58:28}, priority = {2}, title = {A Genome-wide Ras-Effector Interaction Network.}, url = {http://dx.doi.org/10.1016/j.jmb.2007.05.015}, year = {2007} }

TY - JOUR ID - citeulike:1389103 L3 - citeulike-article-id:1389103 TI - A Genome-wide Ras-Effector Interaction Network. JF - J Mol Biol AD - Structural and computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany; EMBL-CRG Systems Biology Unit, CRG-Centre de Regulacio Genomica, Dr. Aiguader 88, 08003 Barcelona, Spain. SN - 0022-2836 N2 - Here using structural information and protein design tools we have drawn the network of interactions between 20 Ras subfamily proteins with 50 putative Ras binding domains. To validate this network we have cloned six poorly characterized Ras binding domains (RBD) and two Ras proteins (RERG, DiRas1). These, together with previously described RBD domains, Ras and Rap proteins have been analyzed in 70 pull-down experiments. Comparing our interaction network with these and previous pull-down experiments (total of 150 cases) shows a very high accuracy for distinguishing between binders and non-binders ( approximately 0.80). Bioinformatics information was integrated to distinguish those in vitro interactions that are more likely to be relevant in vivo. We proposed several new interactions between Ras family members and effector domains that are of relevance in understanding the physiological role of these proteins. More broadly our results demonstrate that (domain-domain) interaction specificities between members of protein families can be accurately predicted using structural information. KW - prediction_ddi KW - specificity AU - Kiel, Christina AU - Foglierini, Mathilde AU - Kuemmerer, Nico AU - Beltrao, Pedro AU - Serrano, Luis PY - 2007/05/22/ UR - http://dx.doi.org/10.1016/j.jmb.2007.05.015 ER -