YAKUGAKU ZASSHI
Online ISSN : 1347-5231
Print ISSN : 0031-6903
ISSN-L : 0031-6903
Regular Articles
Identifying Inhibitors of USP7-HDM2 Protein-Protein Interaction (PPI) by the in Silico Fragment-mapping Method
Kensuke MisawaShin-ichiro OzawaTomoki YoshidaIzumi NakagomeNoriyuki YamaotsuShuichi Hirono
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Supplementary material

2019 Volume 139 Issue 5 Pages 827-835

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Abstract

Proteolysis mediated by the ubiquitin-proteome system plays an important role in cancer. Recently, a deubiquitinating enzyme, ubiquitin-specific protease 7 (USP7) has attracted attention as a key regulator of the p53-human double minute 2 (HDM2) pathway in cancer cells. Although some USP7 enzyme inhibitors have been identified, issues related to activity and selectivity prevent their therapeutic application. In this study, we aimed to search for novel USP7-HDM2 protein-protein interaction (PPI) inhibitors that do not affect the USP7 enzyme activity. Using the fragment-mapping program Fsubsite and the canonical subsite-fragment database (CSFDB) developed in our laboratory, we mapped a variety of fragments onto USP7 protein and constructed 3D-pharmacophore models based on the arrangement patterns of the mapped fragments. Finally, we performed 3D pharmacophore-based virtual screening of a commercial compound database and successfully selected promising USP7-HDM2 PPI inhibitor candidates.

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© 2019 The Pharmaceutical Society of Japan
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