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10.1038/ncomms16081 http://scihub22266oqcxt.onion/10.1038/ncomms16081 C5520047!5520047 !28714473     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28714473 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Nat+Commun 2017 ; 8 (?): 16081 Nephropedia Template TP {{tp|p=28714473 |t=2017. Prioritizing multiple therapeutic targets in parallel using automated DNA-encoded library screening |pdf=|usr=}}{{28714473 }} gab.com Text Prioritizing multiple therapeutic targets in parallel using automated DNA-encoded library screening JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=28714473 #FOAvip The identification and prioritization of chemically tractable therapeutic targets is a significant challenge in the discovery of new medicines. We have developed a novel method that rapidly screens multiple proteins in parallel using DNA-encoded library technology (ELT). Initial efforts were focused on the efficient discovery of antibacterial leads against 119 targets from Acinetobacter baumannii and Staphylococcus aureus. The success of this effort led to the hypothesis that the relative number of ELT binders alone could be used to assess the ligandability of large sets of proteins. This concept was further explored by screening 42 targets from Mycobacterium tuberculosis. Active chemical series for six targets from our initial effort as well as three chemotypes for DHFR from M. tuberculosis are reported. The findings demonstrate that parallel ELT selections can be used to assess ligandability and highlight opportunities for successful lead and tool discovery. Twit Text FOAVip Prioritizing multiple therapeutic targets in parallel using automated DNA-encoded library screening ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=28714473 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28714473 #FOAvip English Wikipedia <ref>{{Cite pmid|28714473 }}</ref> Prioritizing multiple therapeutic targets in parallel using automated DNA-encoded library screening #MMPMID28714473 Machutta CA ; Kollmann CS ; Lind KE ; Bai X ; Chan PF ; Huang J ; Ballell L ; Belyanskaya S ; Besra GS ; Barros-Aguirre D ; Bates RH ; Centrella PA ; Chang SS ; Chai J ; Choudhry AE ; Coffin A ; Davie CP ; Deng H ; Deng J ; Ding Y ; Dodson JW ; Fosbenner DT ; Gao EN ; Graham TL ; Graybill TL ; Ingraham K ; Johnson WP ; King BW ; Kwiatkowski CR ; Lelièvre J ; Li Y ; Liu X ; Lu Q ; Lehr R ; Mendoza-Losana A ; Martin J ; McCloskey L ; McCormick P ; O'Keefe HP ; O'Keeffe T ; Pao C ; Phelps CB ; Qi H ; Rafferty K ; Scavello GS ; Steiginga MS ; Sundersingh FS ; Sweitzer SM ; Szewczuk LM ; Taylor A ; Toh MF ; Wang J ; Wang M ; Wilkins DJ ; Xia B ; Yao G ; Zhang J ; Zhou J ; Donahue CP ; Messer JA ; Holmes D ; Arico-Muendel CC ; Pope AJ ; Gross JW ; Evindar G Nat Commun 2017[Jul]; 8 (?): 16081 PMID28714473 show ga The identification and prioritization of chemically tractable therapeutic targets is a significant challenge in the discovery of new medicines. We have developed a novel method that rapidly screens multiple proteins in parallel using DNA-encoded library technology (ELT). Initial efforts were focused on the efficient discovery of antibacterial leads against 119 targets from Acinetobacter baumannii and Staphylococcus aureus. The success of this effort led to the hypothesis that the relative number of ELT binders alone could be used to assess the ligandability of large sets of proteins. This concept was further explored by screening 42 targets from Mycobacterium tuberculosis. Active chemical series for six targets from our initial effort as well as three chemotypes for DHFR from M. tuberculosis are reported. The findings demonstrate that parallel ELT selections can be used to assess ligandability and highlight opportunities for successful lead and tool discovery. |*Gene Library [MESH] |*Small Molecule Libraries [MESH] |Acinetobacter baumannii/*drug effects/metabolism [MESH] |Anti-Bacterial Agents/*pharmacology [MESH] |Drug Discovery/*methods [MESH] |Drug Evaluation, Preclinical [MESH] |Molecular Targeted Therapy [MESH] |Mycobacterium tuberculosis/*drug effects/metabolism [MESH]Prioritizing multiple therapeutic targets in parallel using automated (epmc).pdf DeepDyve Pubget Overpricing