The total impact of the worldwide COVID-19 pandemic is still emerging, changing all relationships as a result, including those with pet animals. In the infection process, the use of angiotensin-converting enzyme 2 (ACE2) as a cellular receptor to the spike protein of the new coronavirus is a fundamental step. In this sense, understanding which residue plays what role in the interaction between SARS-CoV-2 spike glycoprotein and ACE2 from cats, dogs, and ferrets is an important guide for helping to choose which animal model can be used to study the pathology of COVID-19, and if there are differences between these interactions and those occurring in the human system. To help answer these questions, we performed classical molecular dynamics simulations to evaluate, from an atomistic point of view, the interactions in these systems. Our results show that there are significant differences in the interacting residues between the systems from different animal species, and the role of ACE2 key residues are different in each system, and can assist in the search for different inhibitors for each animal.
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http://dx.doi.org/10.1111/tbed.14234 | DOI Listing |
Pept Sci (Hoboken)
November 2024
Department of Pediatrics, Section of Hematology/Oncology, The University of Chicago, Chicago, Illinois 60637, United States of America.
The COVID-19 pandemic drove a uniquely fervent pursuit to explore the potential of peptide, antibody, protein, and small-molecule based antiviral agents against severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2). The interaction between the SARS-CoV2 spike protein with the angiotensin-converting enzyme 2 (ACE2) receptor that mediates viral cell entry was a particularly interesting target given its well described protein-protein interaction (PPI). This PPI is mediated by an α-helical portion of ACE2 binding to the receptor binding domain (RBD) of the spike protein and thought to be susceptible to blockade through molecular mimicry.
View Article and Find Full Text PDFACS Omega
January 2025
School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Accurate drug-target binding affinity (DTA) prediction is crucial in drug discovery. Recently, deep learning methods for DTA prediction have made significant progress. However, there are still two challenges: (1) recent models always ignore the correlations in drug and target data in the drug/target representation process and (2) the interaction learning of drug-target pairs always is by simple concatenation, which is insufficient to explore their fusion.
View Article and Find Full Text PDFAnalyst
January 2025
College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
A novel electrochemical microsensor was constructed on a traditional acupuncture needle (AN) and used to monitor a biomarker of the SARS-CoV-2-N protein. The reversible interaction of the borate bond between the -diol in this glycoprotein and the phenylboronic acid in 4-mercaptophenylboronic acid (4-MPBA) was accomplished. This interaction was applied to anchor the SARS-CoV-2-N protein onto 4-MPBA, which was covalently self-assemblied onto electrodeposited AuNPs by the S-Au bond.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Beijing, 100730, China.
Background: Immunotherapy is a significant risk factor for severe COVID-19 in multiple myeloma (MM) patients. Understanding how immunotherapies lead to severe COVID-19 is crucial for improving patient outcomes.
Methods: Human protein microarrays were used to examine the expression of 440 protein molecules in MM patients treated with bispecific T-cell engagers (BiTe) (n = 9), anti-CD38 monoclonal antibodies (mAbs) (n = 10), and proteasome inhibitor (PI)-based regimens (n = 10).
Virus Res
January 2025
Molecular Biology and Functional Genomics Platform, National Centre for Scientific and Technical Research (CNRST), Rabat, Morocco; Genomic Centre for Human Pathologies (GENOPATH), Neuroscience and Neurogenetics Research Team, Faculty of Medicine and Pharmacy, University Mohammed V, Rabat, Morocco. Electronic address:
This study investigates the evolution and genetic diversity of SARS-CoV-2 strains circulating in Morocco to track the spread, clade distributions and mutations of the virus across various regions from February 2020 to June 2024. The genome sequences were retrieved from the GISAID database. A total of 2630 SARS-CoV-2 genome sequences were analyzed using bioinformatic tools such as Nextclade, followed by phylogenetic and statistical analyses.
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