Cannabinoid-Inspired Inhibitors of the SARS-CoV-2 Coronavirus 2′-O-Methyltransferase (2′-O-MTase) Non-Structural Protein (Nsp10–16)
The design and synthesis of antiviral compounds were guided by computationally predicted data against highly conserved non-structural proteins (Nsps) of the SARS-CoV-2 coronavirus. Chromenephenylmethanone-1 (CPM-1), a novel biphenylpyran (BPP), was selected from a unique natural product library based on in silico docking scores to coronavirus Nsps with high specificity to the methyltransferase protein (2'-<i>O</i>-MTase, Nsp10-16), which is responsible for viral mRNA maturation and host innate immune response evasion. To target the 2'-<i>O</i>-MTase, CPM-1, along with intermediate BPP regioisomers, tetrahydrophenylmethanones (TPMs), were synthesized and structurally validated via nuclear magnetic resonance (NMR) data and DP4+ structure probability analyses. To investigate the activity of these BPPs, the following in vitro assays were conducted: SARS-CoV-2 inhibition, biochemical target validation, mutagenicity, and cytotoxicity. CPM-1 possessed notable activity against SARS-CoV-2 with 98.9% inhibition at 10 µM and an EC<sub>50</sub> of 7.65 µM, as well as inhibition of SARS-CoV-2's 2'-<i>O</i>-MTase (expressed and purified) with an IC<sub>50</sub> of 1.5 ± 0.2 µM. In addition, CPM-1 revealed no cytotoxicity (CC<sub>50</sub> of >100 µM) or mutagenicity (no frameshift or base-pair mutations). This study demonstrates the potential of computational modeling for the discovery of natural product prototypes followed by the design and synthesis of drug leads to inhibit the SARS-CoV-2 2'-<i>O</i>-MTase.
Authors
- Danyelle M. Townsend (ORCID: https://orcid.org/0000-0003-4679-1891)
- George S. Hanna (ORCID: https://orcid.org/0000-0001-7616-064X)
- Menny M. Benjamin (ORCID: https://orcid.org/0000-0002-0212-3405)
- Sarah E. Nielson
- Mark T. Hamann (ORCID: https://orcid.org/0000-0002-3798-4002)
- Xiaojuan Wang (ORCID: https://orcid.org/0000-0001-5559-6997)
- Jessica Downs-Bowen (ORCID: https://orcid.org/0000-0002-7472-033X)
- Yeun‐Mun Choo (ORCID: https://orcid.org/0000-0001-9891-5898)
- Pankaj Pandey (ORCID: https://orcid.org/0000-0001-9128-8254)
- Robert J. Doerksen (ORCID: https://orcid.org/0000-0002-3789-1842)
- Joan M. Hevel (ORCID: https://orcid.org/0000-0002-9559-4635)
- Cody F. Dickinson (ORCID: https://orcid.org/0000-0003-1318-4438)
- Lucas Bialousow (ORCID: https://orcid.org/0000-0003-1126-8670)
- Scott Wyer
- Ramyani De (ORCID: https://orcid.org/0000-0001-5534-0705)
- Raymond F. Schinazi (ORCID: https://orcid.org/0000-0002-6688-3614)
- Jie Zhang (ORCID: https://orcid.org/0000-0001-6717-4118)
- Zhiwei Ye (ORCID: https://orcid.org/0000-0001-5510-8850)
- Tamara R. McBrayer
Institutions
- Emory University (US)
- Medical University of South Carolina (US)
- University of Malaya (MY)
- University of Mississippi (US)
- Children's Healthcare of Atlanta (US)
- Lanzhou University (CN)
Publication Details
- Journal
- Molecules
- Published
- 2024-10-28
- DOI
- https://doi.org/10.3390/molecules29215081
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Institute of General Medical Sciences
- National Center for Complementary and Integrative Health