The Coronavirus Disease 2019 (COVID-19) pandemic caused by the novel lineage B betacoroanvirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in significant mortality, morbidity, and socioeconomic disruptions worldwide. Effective antivirals are urgently needed for COVID-19. The main protease (M) of SARS-CoV-2 is an attractive antiviral target because of its essential role in the cleavage of the viral polypeptide. In this study, we performed an structure-based screening of a large chemical library to identify potential SARS-CoV-2 M inhibitors. Among 8,820 compounds in the library, our screening identified trichostatin A, a histone deacetylase inhibitor and an antifungal compound, as an inhibitor of SARS-CoV-2 M activity and replication. The half maximal effective concentration of trichostatin A against SARS-CoV-2 replication was 1.5 to 2.7µM, which was markedly below its 50% effective cytotoxic concentration (75.7µM) and peak serum concentration (132µM). Further drug compound optimization to develop more stable analogues with longer half-lives should be performed. This structure-based drug discovery platform should facilitate the identification of additional enzyme inhibitors of SARS-CoV-2.
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http://dx.doi.org/10.7150/ijbs.59191 | DOI Listing |
JAMA Netw Open
January 2025
Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Importance: Active surveillance (AS) for patients with prostate cancer (PC) often includes fixed repeat prostate biopsies that do not account for the varying risk of reclassification to significant disease. Given the invasive nature and potential complications of biopsies, a personalized approach is needed to balance the burden of biopsies with the risk of missing disease progression.
Objective: To develop and externally validate a dynamic model that predicts an individual's risk of PC reclassification during AS.
J Chem Inf Model
January 2025
Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, Rockville, Maryland 20850, United States.
The global impact of SARS-CoV-2 highlights the need for treatments beyond vaccination, given the limited availability of effective medications. While Pfizer introduced , an FDA-approved antiviral targeting the SARS-CoV-2 main protease (Mpro), this study focuses on designing new antivirals against another protease, papain-like protease (PLpro), which is crucial for viral replication and immune suppression. NCATS/NIH performed a high-throughput screen of ∼15,000 molecules from an internal molecular library, identifying initial hits with a 0.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Basic Medical Sciences, Faculty of Medicine, Istanbul Medipol University, Istanbul 34815, Türkiye.
The COVID-19 pandemic began in March 2020 and has affected many countries and infected over a million people. It has had a serious impact on people's physical and mental health, daily life and the global economy. Today, many drugs show limited efficacy in the treatment of COVID-19 and studies to develop effective drugs continue.
View Article and Find Full Text PDFJ Med Chem
January 2025
Department of Chemical Biology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, Braunschweig 38124, Germany.
The main protease M is a clinically validated target to treat infections by the coronavirus SARS-CoV-2. Among the first reported M inhibitors was the peptidomimetic α-ketoamide , whose cocrystal structure with M paved the way for multiple lead-finding studies. We established structure-activity relationships for the series by modifying residues at the P1', P3, and P4 sites.
View Article and Find Full Text PDFDigit Discov
January 2025
School of Natural and Environmental Sciences, Newcastle University Newcastle Upon Tyne NE1 7RU UK
FEgrow is an open-source software package for building congeneric series of compounds in protein binding pockets. For a given ligand core and receptor structure, it employs hybrid machine learning/molecular mechanics potential energy functions to optimise the bioactive conformers of supplied linkers and functional groups. Here, we introduce significant new functionality to automate, parallelise and accelerate the building and scoring of compound suggestions, such that it can be used for automated design.
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