From Inhibitor to Reporter: Nirmatrelvir-Derived Fluorogenic Substrates for the SARS-CoV-2 Main Protease

The SARS-CoV-2 main protease (Mpro) is a key antiviral drug target due to its essential role in the pathogen's replication cycle. The development of potent next-generation Mpro inhibitors is of great importance to ensure the availability of safe and effective COVID-19 therapeutics. Associated research necessitates robust and highly sensitive biochemical assays for the early kinetic characterization of Mpro inhibitor candidates. These assays often reach their limits when characterizing highly potent inhibitors, with a common bottleneck being the insufficient catalytic efficiency and competitive capacity of employed Mpro substrates. To optimize assays for highly active Mpro inhibitors by providing Mpro substrates with improved kinetic features, we created a library of fluorogenic substrates (2-8). These reporters were structurally derived from the well-established Mpro substrate Boc-Abu-Tle-Leu-Gln-AMC (1) and the clinically approved covalent-reversible Mpro inhibitor nirmatrelvir. Kinetic evaluation of 1-8 identified hit compound 6 with about ten-fold improved catalytic efficiency (kcat/Km = 21,400 M-1 s-1) compared to parent substrate 1 (kcat/Km = 2410 M-1 s-1). Substrate 6 was successfully applied for the kinetic characterization of three highly potent Mpro inhibitors. Comparative X-ray crystallographic analyses revealed high similarity in the molecular interactions of the C145A mutant Mpro with nirmatrelvir and with a peptide whose sequence was derived from a natural Mpro substrate. The tetrapeptidic AMC derivative 6 will serve as a valuable biochemical tool contributing to the optimization of SARS-CoV-2 Mpro-directed drug research.

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Journal
ACS Chemical Biology
Published
2026-09-06
DOI
https://doi.org/10.1021/acschembio.6c00577
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

From Inhibitor to Reporter: Nirmatrelvir-Derived Fluorogenic Substrates for the SARS-CoV-2 Main Protease

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ACS Chemical Biology
Computational Drug Discovery Methods
article

From Inhibitor to Reporter: Nirmatrelvir-Derived Fluorogenic Substrates for the SARS-CoV-2 Main Protease

Norbert Sträter, Rabea Voget, Julian Breidenbach, Michael Gütschow, Katharina Sylvester, Dominik Thimm, Christa Elisabeth Müller, Chun‐Chiao Yang, Victoria Steiger, Louisa von Kohout
article en

Abstract

The SARS-CoV-2 main protease (Mpro) is a key antiviral drug target due to its essential role in the pathogen's replication cycle. The development of potent next-generation Mpro inhibitors is of great importance to ensure the availability of safe and effective COVID-19 therapeutics. Associated research necessitates robust and highly sensitive biochemical assays for the early kinetic characterization of Mpro inhibitor candidates. These assays often reach their limits when characterizing highly potent inhibitors, with a common bottleneck being the insufficient catalytic efficiency and competitive capacity of employed Mpro substrates. To optimize assays for highly active Mpro inhibitors by providing Mpro substrates with improved kinetic features, we created a library of fluorogenic substrates (2-8). These reporters were structurally derived from the well-established Mpro substrate Boc-Abu-Tle-Leu-Gln-AMC (1) and the clinically approved covalent-reversible Mpro inhibitor nirmatrelvir. Kinetic evaluation of 1-8 identified hit compound 6 with about ten-fold improved catalytic efficiency (kcat/Km = 21,400 M-1 s-1) compared to parent substrate 1 (kcat/Km = 2410 M-1 s-1). Substrate 6 was successfully applied for the kinetic characterization of three highly potent Mpro inhibitors. Comparative X-ray crystallographic analyses revealed high similarity in the molecular interactions of the C145A mutant Mpro with nirmatrelvir and with a peptide whose sequence was derived from a natural Mpro substrate. The tetrapeptidic AMC derivative 6 will serve as a valuable biochemical tool contributing to the optimization of SARS-CoV-2 Mpro-directed drug research.

ACS Chemical Biology
University of Bonn (DE), Leipzig University of Applied Sciences (DE), Leipzig University (DE)
Deutsche Forschungsgemeinschaft, Volkswagen Foundation
Openalex Percentile: Top 9%
Computational Drug Discovery Methods
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