The pneumonia outbreak caused by Severe Acute Respiratory Syndrome 2 (SARS-CoV-2) infection poses a serious threat to people worldwide. Although vaccines have been developed, antiviral drugs are still needed to combat SARS-CoV-2 infection due to the high mutability of the virus. SARS-CoV-2 main protein (M ) is a special cysteine protease that is a key enzyme for SARS-CoV-2 replication. It is encoded by peptides and is responsible for processing peptides into functional proteins, making it an important drug target. The paper reviews the structure and peptide-like inhibitors of SARS-CoV-2 M , also the binding mode and structure-activity relationship between the inhibitors and M are introduced in detail. It is hoped that this review can provide ideas and help for the development of anti-coronavirus drugs such as COVID-19, and help to develop broad-spectrum antiviral drug for the treatment of coronavirus diseases as soon as possible.
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http://dx.doi.org/10.1111/cbdd.14425 | DOI Listing |
Sci Rep
December 2024
Department of Mathematics, GC University, Lahore, Pakistan.
In this article, a nonlinear fractional bi-susceptible [Formula: see text] model is developed to mathematically study the deadly Coronavirus disease (Covid-19), employing the Atangana-Baleanu derivative in Caputo sense (ABC). A more profound comprehension of the system's intricate dynamics using fractional-order derivative is explored as the primary focus of constructing this model. The fundamental properties such as positivity and boundedness, of an epidemic model have been proven, ensuring that the model accurately reflects the realistic behavior of disease spread within a population.
View Article and Find Full Text PDFJ Biomol Struct Dyn
February 2025
Department of Physics, DDU Gorakhpur University, Gorakhpur, Uttar Pradesh, India.
Since the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first reported from Wuhan, China, there has been a surge in scientific research to find a permanent cure for the disease. The main challenge in effective drug discovery is the continuously mutating nature of the SARS-CoV-2 virus. Thus, we have used the I-TASSER modeling to predict the structure of the SARS-CoV-2 viral envelope protein followed by combinatorial computational assessment to predict its putative potential small molecule inhibitors.
View Article and Find Full Text PDFFront Public Health
December 2024
Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Objective: To characterize the public conversations around long COVID, as expressed through X (formerly Twitter) posts from May 2020 to April 2023.
Methods: Using X as the data source, we extracted tweets containing #long-covid, #long_covid, or "long covid," posted from May 2020 to April 2023. We then conducted an unsupervised deep learning analysis using Bidirectional Encoder Representations from Transformers (BERT).
Front Public Health
December 2024
Institute for Sport Science, Eberhard Karls University of Tübingen, Tübingen, Germany.
Introduction: Social isolation is a main risk factor for loneliness, health issues and psychological diseases. With its restriction measures, the coronavirus pandemic has led to an objective reduction in meaningful interactions, communication, and social contacts in general (social isolation). However, it has been shown that older adults cope differently with social isolation.
View Article and Find Full Text PDFFront Cell Infect Microbiol
December 2024
Clinical and Research Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
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