[Identifying Inhibitors of USP7-HDM2 Protein-Protein Interaction (PPI) by the in Silico Fragment-mapping Method]

Kensuke Misawa1, Shin-Ichiro Ozawa1, Tomoki Yoshida1

  • 1Department of Pharmaceutical Sciences, School of Pharmacy, Kitasato University.

Insights

Researchers identified new ways to inhibit cancer cell pathways by targeting USP7-HDM2 protein interactions. These novel inhibitors offer potential therapeutic strategies without affecting USP7 enzyme activity.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Oncology

Background:

  • The ubiquitin-proteome system regulates proteolysis, crucial in cancer development.
  • Ubiquitin-specific protease 7 (USP7) is a key regulator of the p53-human double minute 2 (HDM2) pathway in cancer cells.
  • Existing USP7 enzyme inhibitors face challenges with activity and selectivity for therapeutic use.

Purpose of the Study:

  • To discover novel inhibitors targeting the USP7-HDM2 protein-protein interaction (PPI).
  • To develop inhibitors that specifically block USP7-HDM2 PPI without impacting USP7 enzyme activity.

Main Methods:

  • Utilized the Fsubsite program and canonical subsite-fragment database (CSFDB) for fragment mapping on USP7.
  • Constructed 3D-pharmacophore models based on fragment arrangement patterns.
  • Performed 3D pharmacophore-based virtual screening of a commercial compound database.

Main Results:

  • Successfully mapped fragments onto the USP7 protein.
  • Developed 3D-pharmacophore models for USP7.
  • Identified promising USP7-HDM2 PPI inhibitor candidates through virtual screening.

Conclusions:

  • Novel USP7-HDM2 PPI inhibitors were identified.
  • The developed pharmacophore models and screening approach are effective for discovering PPI inhibitors.
  • These candidates hold potential for cancer therapy by targeting the USP7-HDM2 pathway.

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