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10.3390/cancers12092694 http://scihub22266oqcxt.onion/10.3390/cancers12092694 32967266!7563533!32967266     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cancers+(Basel) 2020 ; 12 (9): ä Nephropedia Template TP {{tp|p=32967266|t=2020. Applications of Genome-Wide Screening and Systems Biology Approaches in Drug Repositioning |pdf=|usr=}}{{32967266}} gab.com Text Applications of Genome-Wide Screening and Systems Biology Approaches in Drug Repositioning JO: Cancers (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=32967266 #FOAvip Modern drug discovery through de novo drug discovery entails high financial costs, low success rates, and lengthy trial periods. Drug repositioning presents a suitable approach for overcoming these issues by re-evaluating biological targets and modes of action of approved drugs. Coupling high-throughput technologies with genome-wide essentiality screens, network analysis, genome-scale metabolic modeling, and machine learning techniques enables the proposal of new drug-target signatures and uncovers unanticipated modes of action for available drugs. Here, we discuss the current issues associated with drug repositioning in light of curated high-throughput multi-omic databases, genome-wide screening technologies, and their application in systems biology/medicine approaches. Twit Text FOAVip Applications of Genome-Wide Screening and Systems Biology Approaches in Drug Repositioning ????Cancers (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=32967266 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32967266 #FOAvip English Wikipedia <ref>{{Cite pmid|32967266}}</ref> Applications of Genome-Wide Screening and Systems Biology Approaches in Drug Repositioning #MMPMID32967266 Mohammadi E; Benfeitas R; Turkez H; Boren J; Nielsen J; Uhlen M; Mardinoglu A Cancers (Basel) 2020[Sep]; 12 (9): ä PMID32967266show ga Modern drug discovery through de novo drug discovery entails high financial costs, low success rates, and lengthy trial periods. Drug repositioning presents a suitable approach for overcoming these issues by re-evaluating biological targets and modes of action of approved drugs. Coupling high-throughput technologies with genome-wide essentiality screens, network analysis, genome-scale metabolic modeling, and machine learning techniques enables the proposal of new drug-target signatures and uncovers unanticipated modes of action for available drugs. Here, we discuss the current issues associated with drug repositioning in light of curated high-throughput multi-omic databases, genome-wide screening technologies, and their application in systems biology/medicine approaches. äApplications of Genome-Wide Screening and Systems Biology Approaches i(epmc).pdf DeepDyve Pubget Overpricing