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  • 标题:Identification of potential inhibitors based on compound proposal contest: Tyrosine-protein kinase Yes as a target
  • 本地全文:下载
  • 作者:Shuntaro Chiba ; Kazuyoshi Ikeda ; Takashi Ishida
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2015
  • 卷号:5
  • DOI:10.1038/srep17209
  • 出版社:Springer Nature
  • 摘要:A search of broader range of chemical space is important for drug discovery. Different methods of computer-aided drug discovery (CADD) are known to propose compounds in different chemical spaces as hit molecules for the same target protein. This study aimed at using multiple CADD methods through open innovation to achieve a level of hit molecule diversity that is not achievable with any particular single method. We held a compound proposal contest, in which multiple research groups participated and predicted inhibitors of tyrosine-protein kinase Yes. This showed whether collective knowledge based on individual approaches helped to obtain hit compounds from a broad range of chemical space and whether the contest-based approach was effective.
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