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10.1371/journal.pcbi.1004597 http://scihub22266oqcxt.onion/10.1371/journal.pcbi.1004597 C4689399!4689399!26699810     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       PLoS+Comput+Biol 2015 ; 11 (12): ä Nephropedia Template TP {{tp|p=26699810|t=2015. Distinctive Behaviors of Druggable Proteins in Cellular Networks |pdf=|usr=}}{{26699810}} gab.com Text Distinctive Behaviors of Druggable Proteins in Cellular Networks JO: PLoS Comput Biol http://www.kidney.de/pget.php?&tw=1&pmid=26699810 #FOAvip The interaction environment of a protein in a cellular network is important in defining the role that the protein plays in the system as a whole, and thus its potential suitability as a drug target. Despite the importance of the network environment, it is neglected during target selection for drug discovery. Here, we present the first systematic, comprehensive computational analysis of topological, community and graphical network parameters of the human interactome and identify discriminatory network patterns that strongly distinguish drug targets from the interactome as a whole. Importantly, we identify striking differences in the network behavior of targets of cancer drugs versus targets from other therapeutic areas and explore how they may relate to successful drug combinations to overcome acquired resistance to cancer drugs. We develop, computationally validate and provide the first public domain predictive algorithm for identifying druggable neighborhoods based on network parameters. We also make available full predictions for 13,345 proteins to aid target selection for drug discovery. All target predictions are available through canSAR.icr.ac.uk. Underlying data and tools are available at https://cansar.icr.ac.uk/cansar/publications/druggable_network_neighbourhoods/. Twit Text FOAVip Distinctive Behaviors of Druggable Proteins in Cellular Networks ????PLoS Comput Biol http://www.kidney.de/pget.php?&tw=1&pmid=26699810 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26699810 #FOAvip English Wikipedia <ref>{{Cite pmid|26699810}}</ref> Distinctive Behaviors of Druggable Proteins in Cellular Networks #MMPMID26699810 Mitsopoulos C; Schierz AC; Workman P; Al-Lazikani B PLoS Comput Biol 2015[Dec]; 11 (12): ä PMID26699810show ga The interaction environment of a protein in a cellular network is important in defining the role that the protein plays in the system as a whole, and thus its potential suitability as a drug target. Despite the importance of the network environment, it is neglected during target selection for drug discovery. Here, we present the first systematic, comprehensive computational analysis of topological, community and graphical network parameters of the human interactome and identify discriminatory network patterns that strongly distinguish drug targets from the interactome as a whole. Importantly, we identify striking differences in the network behavior of targets of cancer drugs versus targets from other therapeutic areas and explore how they may relate to successful drug combinations to overcome acquired resistance to cancer drugs. We develop, computationally validate and provide the first public domain predictive algorithm for identifying druggable neighborhoods based on network parameters. We also make available full predictions for 13,345 proteins to aid target selection for drug discovery. All target predictions are available through canSAR.icr.ac.uk. Underlying data and tools are available at https://cansar.icr.ac.uk/cansar/publications/druggable_network_neighbourhoods/. äDistinctive Behaviors of Druggable Proteins in Cellular Networks (epmc).pdf DeepDyve Pubget Overpricing