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  2. Combining virtual screening with cis-/trans-cleavage enzymatic assays effectively reveals broad-spectrum inhibitors that target the main proteases of SARS-CoV-2 and MERS-CoV

Combining virtual screening with cis-/trans-cleavage enzymatic assays effectively reveals broad-spectrum inhibitors that target the main proteases of SARS-CoV-2 and MERS-CoV

  • Antiviral Res. 2023 Aug;216:105653. doi: 10.1016/j.antiviral.2023.105653.
Yu-Jen Chang 1 Uyen Nguyen Phuong Le 2 Jia-Jun Liu 3 Sin-Rong Li 4 Shao-Ting Chao 5 Hsueh-Chou Lai 6 Yu-Feng Lin 7 Kai-Cheng Hsu 8 Chih-Hao Lu 9 Cheng-Wen Lin 10
Affiliations

Affiliations

  • 1 The Ph.D. Program of Biotechnology and Biomedical Industry, China Medical University, Taichung, Taiwan.
  • 2 Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, Taiwan; Graduate Institute of Biological Sciences and Technology, China Medical University, Taichung, Taiwan.
  • 3 Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan.
  • 4 Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, Taiwan; Department of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan.
  • 5 Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, Taiwan.
  • 6 Division of Hepato-Gastroenterology, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.
  • 7 Department of Medical Laboratory Science and Biotechnology, Asia University, Taichung, Taiwan.
  • 8 Graduate Institute of Cancer Biology and Drug Discovery, Taipei Medical University, Taipei, Taiwan.
  • 9 The Ph.D. Program of Biotechnology and Biomedical Industry, China Medical University, Taichung, Taiwan; Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan; Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan. Electronic address: chlu@nycu.edu.tw.
  • 10 The Ph.D. Program of Biotechnology and Biomedical Industry, China Medical University, Taichung, Taiwan; Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, Taiwan; Graduate Institute of Biological Sciences and Technology, China Medical University, Taichung, Taiwan; Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan; Department of Medical Laboratory Science and Biotechnology, Asia University, Taichung, Taiwan. Electronic address: cwlin@mail.cmu.edu.tw.
Abstract

The main Protease (Mpro) of SARS-CoV-2 is essential for viral replication, which suggests that the Mpro is a critical target in the development of small molecules to treat COVID-19. This study used an in-silico prediction approach to investigate the complex structure of SARS-CoV-2 Mpro in compounds from the United States National Cancer Institute (NCI) database, then validate potential inhibitory compounds against the SARS-CoV-2 Mpro in cis- and trans-cleavage proteolytic assays. Virtual screening of ∼280,000 compounds from the NCI database identified 10 compounds with highest site-moiety map scores. Compound NSC89640 (coded C1) showed marked inhibitory activity against the SARS-CoV-2 Mpro in cis-/trans-cleavage assays. C1 strongly inhibited SARS-CoV-2 Mpro enzymatic activity, with a half maximal inhibitory concentration (IC50) of 2.69 μM and a selectivity index (SI) of >74.35. The C1 structure served as a template to identify structural analogs based on AtomPair fingerprints to refine and verify structure-function associations. Mpro-mediated cis-/trans-cleavage assays conducted with the structural analogs revealed that compound NSC89641 (coded D2) exhibited the highest inhibitory potency against SARS-CoV-2 Mpro enzymatic activity, with an IC50 of 3.05 μM and a SI of >65.57. Compounds C1 and D2 also displayed inhibitory activity against MERS-CoV-2 with an IC50 of <3.5 μM. Thus, C1 shows potential as an effective Mpro inhibitor of SARS-CoV-2 and MERS-CoV. Our rigorous study framework efficiently identified lead compounds targeting the SARS-CoV-2 Mpro and MERS-CoV Mpro.

Keywords

In-silico prediction; MERS-CoV; Main protease; National cancer institute database; SARS-CoV-2; cis-/trans-cleavage assay.

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