Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) currently poses a threat to human health. 3C-like proteinase (3CLpro) plays an important role in the viral life cycle. Hence, it is considered an attractive antiviral target protein. Whole-genome sequencing showed that the sequence homology between SARS-CoV-2 3CLpro and SARS-CoV 3CLpro is 96.08%, with high similarity in the substrate-binding region. Thus, assessing peptidomimetic inhibitors of SARS-CoV 3CLpro could accelerate the development of peptidomimetic inhibitors for SARS-CoV-2 3CLpro. Accordingly, we herein discuss progress on SARS-CoV-2 3CLpro peptidomimetic inhibitors. Inflammation plays a major role in the pathophysiological process of COVID-19. Small-molecule compounds targeting 3CLpro with both antiviral and anti-inflammatory effects are also briefly discussed in this paper.
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http://dx.doi.org/10.2147/DDDT.S359009 | DOI Listing |
Int J Biol Macromol
January 2025
Department of Chemical Sciences, University of Naples "Federico II", Via Cintia, 21, 80126 Napoli, Italy; CEINGE Advanced Biotechnologies s.c.a r.l. "Franco Salvatore", Via Gaetano Salvatore 486, 80131 Napoli, Italy. Electronic address:
SARS-CoV-2 encodes a 3C-like protease (3CL) that is essential for viral replication. This cysteine protease cleaves viral polyproteins to release functional nonstructural proteins, making it a prime target for antiviral drug development. We investigated the inhibitory effects of halicin, a known c-Jun N-terminal kinase inhibitor, on 3CL.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Department of Biosciences and Bioinformatics, School of Science, Xi'an Jiaotong-Liverpool University, 111 Ren'ai Road, Suzhou 215123, China.
The SARS-CoV-2 main protease (Mpro, also known as 3CLpro) is a key target for antiviral therapy due to its critical role in viral replication and maturation. This study investigated the inhibitory effects of Bofutrelvir, Nirmatrelvir, and Selinexor on 3CLpro through molecular docking, molecular dynamics (MD) simulations, and free energy calculations. Nirmatrelvir exhibited the strongest binding affinity across docking tools (AutoDock Vina: -8.
View Article and Find Full Text PDFSci Rep
December 2024
Laboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology, University of Bologna, 40127, Bologna, Italy.
This manuscript details the application of Isothermal Titration Calorimetry (ITC) to characterize the kinetics of 3CL, the main protease from the Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2), and its inhibition by Ensitrelvir, a known non-covalent inhibitor. 3CL is essential for producing the proteins necessary for viral infection, which led to the COVID-19 pandemic. The ITC-based assay provided rapid and reliable measurements of 3CL activity, allowing for the direct derivation of the kinetic enzymatic constants K and k by monitoring the thermal power required to maintain a constant temperature as the substrate is consumed.
View Article and Find Full Text PDFVirol Sin
December 2024
College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China. Electronic address:
Traditional Chinese medicine has unique advantages in preventing and treating COVID-19, and Fuzheng Jiedu decoction (FZJDD) was reported to be effective against COVID-19 in clinical trials. To investigate the potential mechanisms and material basis of FZJDD against SARS-CoV-2, we performed SARS-CoV-2 target protein inhibition analyses and a metabolite full spectrum analysis of FZJDD. Interestingly, FZJDD was found to block the binding of SARS-CoV-2 Spike protein with the receptor ACE2 and inhibit the activity of SARS-CoV-2 3CLpro.
View Article and Find Full Text PDFJ Biomol Struct Dyn
December 2024
School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Although the COVID-19 pandemic has been brought under control to some extent globally, there is still debate in the industry about the feasibility of using artificial intelligence (AI) to generate COVID small-molecule inhibitors. In this study, we explored the feasibility of using AI to design effective inhibitors of COVID-19. By combining a generative model with reinforcement learning and molecular docking, we designed small-molecule inhibitors targeting the COVID-19 3CLpro enzyme.
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