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Eur J Med Chem ; 273: 116498, 2024 Jul 05.
Article in English | MEDLINE | ID: mdl-38762916

ABSTRACT

The progressive emergence of SARS-CoV-2 variants has necessitated the urgent exploration of novel therapeutic strategies to combat the COVID-19 pandemic. The SARS-CoV-2 main protease (Mpro) represents an evolutionarily conserved therapeutic target for drug discovery. This study highlights the discovery of meisoindigo (Mei), derived from the traditional Chinese medicine (TCM) Indigo naturalis, as a novel non-covalent and nonpeptidic Mpro inhibitor. Substantial optimizations and structure-activity relationship (SAR) studies, guided by a structure-based drug design approach, led to the identification of several Mei derivatives, including S5-27 and S5-28, exhibiting low micromolar inhibition against SARS-CoV-2 Mpro with high binding affinity. Notably, S5-28 provided significant protection against wild-type SARS-CoV-2 in HeLa-hACE2 cells, with EC50 up to 2.66 µM. Furthermore, it displayed favorable physiochemical properties and remarkable gastrointestinal and metabolic stability, demonstrating its potential as an orally bioavailable drug for anti-COVID-19 therapy. This research presents a promising avenue for the development of new antiviral agents, offering hope in the ongoing battle against COVID-19.


Subject(s)
Antiviral Agents , COVID-19 Drug Treatment , Coronavirus 3C Proteases , SARS-CoV-2 , Humans , SARS-CoV-2/drug effects , Antiviral Agents/pharmacology , Antiviral Agents/chemistry , Antiviral Agents/chemical synthesis , Structure-Activity Relationship , Coronavirus 3C Proteases/antagonists & inhibitors , Coronavirus 3C Proteases/metabolism , Drug Discovery , Administration, Oral , Animals , Indoles/chemistry , Indoles/pharmacology , Indoles/chemical synthesis , HeLa Cells , COVID-19/virology , Molecular Structure , Rats , Microbial Sensitivity Tests , Protease Inhibitors/pharmacology , Protease Inhibitors/chemistry , Protease Inhibitors/chemical synthesis , Protease Inhibitors/therapeutic use , Molecular Docking Simulation , Drug Design
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