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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/9926


    Title: Discovery of novel inhibitors of Aurora kinases with indazole scaffold: In silico fragment-based and knowledge-based drug design
    Authors: Chang, CF;Lin, WH;Ke, YY;Lin, YS;Wang, WC;Chen, CH;Kuo, PC;Hsu, JTA;Uang, BJ;Hsieh, HP
    Contributors: Institute of Biotechnology and Pharmaceutical Research
    Abstract: Aurora kinases have emerged as important anticancer targets so that there are several inhibitors have advanced into clinical study. Herein, we identified novel indazole derivatives as potent Aurora kinases inhibitors by utilizing in silico fragment-based approach and knowledge-based drug design. After intensive hit-to-lead optimization, compounds 17 (dual Aurora A and B), 21 (Aurora B selective) and 30 (Aurora A selective) possessed indazole privileged scaffold with different substituents, which provide sub-type kinase selectivity. Computational modeling helps in understanding that the isoform selectivity could be targeted specific residue in the Aurora kinase binding pocket in particular targeting residues Arg220, Thr217 or Glu177.
    Date: 2016-11-29
    Relation: European Journal of Medicinal Chemistry. 2016 Nov 29;124:186-199.
    Link to: http://dx.doi.org/10.1016/j.ejmech.2016.08.026
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0223-5234&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000388544600014
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84983638191
    Appears in Collections:[謝興邦] 期刊論文
    [徐祖安] 期刊論文
    [王文傑] 期刊論文

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