Identification and Exploration of a Series of SARS-Cov-2 M<sup>Pro</sup> Cyano-Based Inhibitors Revealing Ortho-Substitution Effects within the P3 Biphenyl Group

Starting from a simple scaffold hopping exercise based on our previous exploration of cysteine protease inhibitors against legumain, compound <b>6a</b> was identified as a starting point for the development of a SARS-CoV-2 main protease (M<sup>Pro</sup>) inhibitor. Compound <b>6a</b> displayed submicromolar biochemical potency in the ultrasensitive assay developed by Drag and co-workers. Through an iterative structure-activity relationship campaign, we discovered an unexpected improvement in both biochemical and cellular potency through the incorporation of an ortho substituent within the P3 benzamide. X-ray crystallography revealed that incorporation of the ortho substituent caused a subtle but important binding enhancement of the P1 glutamate group within the M<sup>Pro</sup> S1 pocket. While incorporation of the ortho substituent improved the potency, the off-target selectivity against a panel of cysteine proteases and cell activity remained suboptimal. Further scanning of the P2 core revealed that incorporation of the 3.1.0 proline could address these issues and afford compound <b>22e</b>, a highly potent and cellularly active M<sup>Pro</sup> inhibitor.

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Publication Details

Journal
ACS Medicinal Chemistry Letters
Published
2025-09-25
DOI
https://doi.org/10.1021/acsmedchemlett.5c00301
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification and Exploration of a Series of SARS-Cov-2 MPro Cyano-Based Inhibitors Revealing Ortho-Substitution Effects within the P3 Biphenyl Group

Marcin Drąg, Richard D. Williams, Christopher J. Scott, Chloé James et al.
ACS Medicinal Chemistry Letters
Computational Drug Discovery Methods
article

Identification and Exploration of a Series of SARS-Cov-2 MPro Cyano-Based Inhibitors Revealing Ortho-Substitution Effects within the P3 Biphenyl Group

Marcin Drąg, Richard D. Williams, Christopher J. Scott, Chloé James, Anindita Nayak, Mikołaj Żmudziński, Shaun K. Olsen, Digant Nayak, Dirk Jochmans, Priscila dos Santos Bury, Johan Neyts, Mohammad Afsar, Emma Clyde-Allen
article en

Abstract

Starting from a simple scaffold hopping exercise based on our previous exploration of cysteine protease inhibitors against legumain, compound <b>6a</b> was identified as a starting point for the development of a SARS-CoV-2 main protease (M<sup>Pro</sup>) inhibitor. Compound <b>6a</b> displayed submicromolar biochemical potency in the ultrasensitive assay developed by Drag and co-workers. Through an iterative structure-activity relationship campaign, we discovered an unexpected improvement in both biochemical and cellular potency through the incorporation of an ortho substituent within the P3 benzamide. X-ray crystallography revealed that incorporation of the ortho substituent caused a subtle but important binding enhancement of the P1 glutamate group within the M<sup>Pro</sup> S1 pocket. While incorporation of the ortho substituent improved the potency, the off-target selectivity against a panel of cysteine proteases and cell activity remained suboptimal. Further scanning of the P2 core revealed that incorporation of the 3.1.0 proline could address these issues and afford compound <b>22e</b>, a highly potent and cellularly active M<sup>Pro</sup> inhibitor.

ACS Medicinal Chemistry LettersVol. 16(10)
Wrocław University of Science and Technology (PL), Queen's University Belfast (GB), The University of Texas at San Antonio Health Science Center (US), Rega Institute for Medical Research (BE), Institute of Molecular Bioimaging and Physiology (IT), Institut de Recherche Vaccinale (FR), Cancer Research Institute of the Slovak Academy of Sciences (SK), Institute for the Future (US), Elucid Bioimaging (US), KU Leuven (BE)
Cancer Prevention and Research Institute of Texas, UK Research and Innovation, National Institutes of Health, National Institute of General Medical Sciences, Office of Research Infrastructure Programs, National Institutes of Health, Argonne National Laboratory
Openalex Percentile: Top 72%
Computational Drug Discovery Methods
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