4.6 Article

Identification of Novel Covalent XPO1 Inhibitors Based on a Hybrid Virtual Screening Strategy

期刊

MOLECULES
卷 27, 期 8, 页码 -

出版社

MDPI
DOI: 10.3390/molecules27082543

关键词

nuclear export protein 1; hybrid virtual screening; covalent docking; anti-tumor

资金

  1. National Natural Science Foundation of China [82003579]
  2. Natural Science Foundation of Zhejiang Province [LQ21H300005]
  3. Rui'an People's Hospital, The Third Affiliated Hospital of the Wenzhou Medical University

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This study develops a hybrid virtual screening workflow for XPO1 covalent inhibitor screening. Several promising molecules were obtained, among which compound 8 showed good performance in both tumor cell proliferation assays and nuclear export inhibition assays. Molecular dynamics simulations provided insights into the interaction between compound 8 and XPO1.
Nuclear export protein 1 (XPO1), a member of the nuclear export protein-p (Karyopherin-P) superfamily, regulates the transport of cargo proteins. To facilitate this important process, which is essential for cellular homeostasis, XPO1 must first recognize and bind the cargo proteins. To inhibit this process, small molecule inhibitors have been designed that inhibit XPO1 activity through covalent binding. However, the scaffolds for these inhibitors are very limited. While virtual screening may be used to expand the diversity of the XPO1 inhibitor skeleton, enormous computational resources would be required to accomplish this using traditional screening methods. In the present study, we report the development of a hybrid virtual screening workflow and its application in XPO1 covalent inhibitor screening. After screening, several promising XPO1 covalent molecules were obtained. Of these, compound 8 performed well in both tumor cell proliferation assays and a nuclear export inhibition assay. In addition, molecular dynamics simulations were performed to provide information on the mode of interaction of compound 8 with XPO1. This research has identified a promising new scaffold for XPO1 inhibitors, and it demonstrates an effective and resource-saving workflow for identifying new covalent inhibitors.

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