Novel Alkynylamide-Based Nonpeptidic Allosteric Inhibitors for SARS-CoV-2 3-Chymotrypsin-like Protease
Although the coronavirus disease 2019 (COVID-19) crisis has passed, there remains a necessity for continuous efforts toward developing more targeted drugs and preparing for potential future virus attacks. Currently, most of the drugs received authorization for the treatment of COVID-19 have exhibited several limitations, such as poor metabolic stability, formidable preparation, and uncertain effectiveness. It is still significant to develop novel, structurally diverse small-molecule antiviral drugs targeting SARS-CoV-2 3-chymotrypsin-like protease (3CL<sup>pro</sup>). Herein, we report a class of alkynylamide-based nonpeptidic 3CL<sup>pro</sup> inhibitors that can be prepared conveniently by our previously developed one-pot synthetic method. The structure-activity relationships of alkynylamides as SARS-CoV-2 3CL<sup>pro</sup> inhibitors have been carefully investigated and discussed in this study. The two stereoisomers of the resulting molecules exhibit stereoselective interaction with 3CL<sup>pro</sup>, and the optimized compound (<i>S</i>,<i>R</i>)-<b>4y</b> inhibits 3CL<sup>pro</sup> with high potency (IC<sub>50</sub> = 0.43 μM), low cytotoxicity, and acceptable cell permeability. Compound (<i>S</i>,<i>R</i>)-<b>4y</b> presents as a noncovalent inhibitor of 3CL<sup>pro</sup> against SARS-CoV-2 by the time-dependent inhibition assay (TDI) and mass spectrometry analysis. The Lineweaver-Burk plots, binding energy, surface plasmon resonance, and molecular docking studies suggest that (<i>S</i>,<i>R</i>)-<b>4y</b> specifically binds to an allosteric pocket of the SARS-CoV-2 3CL<sup>pro</sup>. These findings provide a novel class of nonpeptidic alkynylamide-based allosteric inhibitors with high selectivity against SARS-CoV-2 3CL<sup>pro</sup> featured by a simplified one-pot synthesis at room temperature in air.
Authors
- Yaqi Deng (ORCID: https://orcid.org/0000-0003-3585-8093)
- Xixiang Chen (ORCID: https://orcid.org/0009-0001-4316-7033)
- Jianrong Xu (ORCID: https://orcid.org/0000-0002-2168-2296)
- Tong Zhu (ORCID: https://orcid.org/0000-0001-7472-3736)
- Shunying Liu (ORCID: https://orcid.org/0000-0002-3894-757X)
- Jian Zhong Xue (ORCID: https://orcid.org/0000-0002-4644-1472)
- Ruyu Wang (ORCID: https://orcid.org/0009-0004-5418-7429)
- Meiting Wang (ORCID: https://orcid.org/0000-0002-0860-9916)
- Lili Chen (ORCID: https://orcid.org/0000-0002-9965-8990)
- Hongtao Li (ORCID: https://orcid.org/0000-0003-1639-318X)
- Jiani Lu (ORCID: https://orcid.org/0009-0008-6592-5545)
- Y.N. Li
- Yuheng Song
Institutions
- Shanghai University of Traditional Chinese Medicine (CN)
- East China Normal University (CN)
Publication Details
- Journal
- ACS Pharmacology & Translational Science
- Published
- 2024-10-02
- DOI
- https://doi.org/10.1021/acsptsci.4c00369
- Citations
- 3
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.08
Funders
- National Natural Science Foundation of China
- Science and Technology Commission of Shanghai Municipality
- Natural Science Foundation of Chongqing