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10.1155/2017/7024516 http://scihub22266oqcxt.onion/10.1155/2017/7024516 C5392402!5392402!28469669     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Comput+Intell+Neurosci 2017 ; 2017 (ä): ä Nephropedia Template TP {{tp|p=28469669|t=2017. PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway |pdf=|usr=}}{{28469669}} gab.com Text PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway JO: Comput Intell Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=28469669 #FOAvip Uncovering the signaling architecture in protein-protein interaction (PPI) can certainly benefit the understanding of disease mechanisms and promise to facilitate the therapeutic interventions. Therefore, it is important to reveal the signaling relationship from one protein to another in terms of activation and inhibition. In this study, we propose a new measurement to characterize the regulation relationship of a PPI pair. By utilizing both Gene Ontology (GO) functional annotation and protein domain information, we developed a tool called Prediction of Activation/Inhibition Regulation Signaling Pathway (PAIRS) that takes protein interaction pairs as input and gives both known and predicted result of the human protein regulation relationship in terms of activation and inhibition. It helps to give prognostic regulation information for further signaling pathway reconstruction. Twit Text FOAVip PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway ????Comput Intell Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=28469669 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28469669 #FOAvip English Wikipedia <ref>{{Cite pmid|28469669}}</ref> PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway #MMPMID28469669 Wang T; Feng Y; Wang Q Comput Intell Neurosci 2017[]; 2017 (ä): ä PMID28469669show ga Uncovering the signaling architecture in protein-protein interaction (PPI) can certainly benefit the understanding of disease mechanisms and promise to facilitate the therapeutic interventions. Therefore, it is important to reveal the signaling relationship from one protein to another in terms of activation and inhibition. In this study, we propose a new measurement to characterize the regulation relationship of a PPI pair. By utilizing both Gene Ontology (GO) functional annotation and protein domain information, we developed a tool called Prediction of Activation/Inhibition Regulation Signaling Pathway (PAIRS) that takes protein interaction pairs as input and gives both known and predicted result of the human protein regulation relationship in terms of activation and inhibition. It helps to give prognostic regulation information for further signaling pathway reconstruction. äPAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathwa(epmc).pdf DeepDyve Pubget Overpricing