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      SARS-CoV-2 3CL pro mutations selected in a VSV-based system confer resistance to nirmatrelvir, ensitrelvir, and GC376

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          Abstract

          Protease inhibitors are among the most powerful antiviral drugs. Nirmatrelvir is the first protease inhibitor against the SARS-CoV-2 protease 3CL pro that has been licensed for clinical use. To identify mutations that confer resistance to this protease inhibitor, we engineered a chimeric vesicular stomatitis virus (VSV) that expressed a polyprotein composed of the VSV glycoprotein G, the SARS-CoV-2 3CL pro, and the VSV polymerase L. Viral replication was thus dependent on the autocatalytic processing of this precursor protein by 3CL pro and release of the functional viral polymerase L, and replication of this chimeric VSV was effectively inhibited by nirmatrelvir. Using this system, we applied nirmatrelvir to select for resistance mutations. Resistance was confirmed by retesting nirmatrelvir against the selected mutations in an additional VSV-based systems, in an independently developed cellular system, in a biochemical assay, and in a recombinant SARS-CoV-2 system. We demonstrate that some mutants are cross-resistant to ensitrelvir and GC376, whereas others are less resistant to these compounds. Furthermore, we found that most of these resistance mutations already existed in SARS-CoV-2 sequences that have been deposited in the NCBI and GISAID databases, indicating that these mutations were present in circulating SARS-CoV-2 strains.

          Abstract

          Abstract

          Mutations in the SARS-CoV-2 main protease that conferred resistance to the protease inhibitor nirmatrelvir were identified using a VSV-based system.

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          A pneumonia outbreak associated with a new coronavirus of probable bat origin

          Since the outbreak of severe acute respiratory syndrome (SARS) 18 years ago, a large number of SARS-related coronaviruses (SARSr-CoVs) have been discovered in their natural reservoir host, bats 1–4 . Previous studies have shown that some bat SARSr-CoVs have the potential to infect humans 5–7 . Here we report the identification and characterization of a new coronavirus (2019-nCoV), which caused an epidemic of acute respiratory syndrome in humans in Wuhan, China. The epidemic, which started on 12 December 2019, had caused 2,794 laboratory-confirmed infections including 80 deaths by 26 January 2020. Full-length genome sequences were obtained from five patients at an early stage of the outbreak. The sequences are almost identical and share 79.6% sequence identity to SARS-CoV. Furthermore, we show that 2019-nCoV is 96% identical at the whole-genome level to a bat coronavirus. Pairwise protein sequence analysis of seven conserved non-structural proteins domains show that this virus belongs to the species of SARSr-CoV. In addition, 2019-nCoV virus isolated from the bronchoalveolar lavage fluid of a critically ill patient could be neutralized by sera from several patients. Notably, we confirmed that 2019-nCoV uses the same cell entry receptor—angiotensin converting enzyme II (ACE2)—as SARS-CoV.
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            UCSF Chimera--a visualization system for exploratory research and analysis.

            The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the extension mechanism satisfies the demands of outside developers who wish to incorporate new features. Two unusual extensions are presented: Multiscale, which adds the ability to visualize large-scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales. Other extensions include Multalign Viewer, for showing multiple sequence alignments and associated structures; ViewDock, for screening docked ligand orientations; Movie, for replaying molecular dynamics trajectories; and Volume Viewer, for display and analysis of volumetric data. A discussion of the usage of Chimera in real-world situations is given, along with anticipated future directions. Chimera includes full user documentation, is free to academic and nonprofit users, and is available for Microsoft Windows, Linux, Apple Mac OS X, SGI IRIX, and HP Tru64 Unix from http://www.cgl.ucsf.edu/chimera/. Copyright 2004 Wiley Periodicals, Inc.
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              Enzymatic assembly of DNA molecules up to several hundred kilobases.

              We describe an isothermal, single-reaction method for assembling multiple overlapping DNA molecules by the concerted action of a 5' exonuclease, a DNA polymerase and a DNA ligase. First we recessed DNA fragments, yielding single-stranded DNA overhangs that specifically annealed, and then covalently joined them. This assembly method can be used to seamlessly construct synthetic and natural genes, genetic pathways and entire genomes, and could be a useful molecular engineering tool.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: Visualization
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: Visualization
                Role: InvestigationRole: MethodologyRole: Validation
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: ResourcesRole: VisualizationRole: Writing - review & editing
                Role: Data curationRole: Formal analysisRole: MethodologyRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: InvestigationRole: Methodology
                Role: InvestigationRole: Resources
                Role: ResourcesRole: SupervisionRole: Validation
                Role: Formal analysisRole: InvestigationRole: ResourcesRole: Software
                Role: ConceptualizationRole: Funding acquisitionRole: ResourcesRole: ValidationRole: VisualizationRole: Writing - review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Project administrationRole: SoftwareRole: SupervisionRole: ValidationRole: Writing - review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - review & editing
                Role: ConceptualizationRole: MethodologyRole: ResourcesRole: SupervisionRole: Validation
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing - original draft
                Journal
                Sci Transl Med
                Sci Transl Med
                stm
                scitranslmed
                Science Translational Medicine
                American Association for the Advancement of Science
                1946-6234
                1946-6242
                04 October 2022
                04 October 2022
                : eabq7360
                Affiliations
                [ 1 ]Institute of Virology, Medical University of Innsbruck, Innsbruck, 6020, Austria.
                [ 2 ]Department of Biochemistry, Molecular Biology and Biophysics, Institute for Molecular Virology, University of Minnesota, Minneapolis, MN 55455, United States.
                [ 3 ]Texas Biomedical Research Institute, San Antonio, TX 78229, USA.
                [ 4 ]Molecular Modeling Section (MMS), Department of Pharmaceutical and Pharmacological Sciences, University of Padua, Via F. Marzolo 5, 35131, Padova, Italy.
                [ 5 ]Institute for Biomedical Aging Research, University of Innsbruck, Innsbruck, 6020, Austria.
                [ 6 ]Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX 78229, United States.
                [ 7 ]Howard Hughes Medical Institute, University of Texas Health San Antonio, San Antonio, TX 78229, United States.
                [ 8 ]Division of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, 6020, Austria.
                [ 9 ]k.-k. Hofkristallamt, San Diego, CA 92084, United States.
                Author notes
                [†]

                These authors contributed equally to this work.

                [* ]Corresponding author. Email: Emmanuel.Heilmann@ 123456i-med.ac.at
                Author information
                https://orcid.org/0000-0001-8148-9490
                https://orcid.org/0000-0002-4556-5967
                https://orcid.org/0000-0001-6598-8994
                https://orcid.org/0000-0002-1934-9494
                https://orcid.org/0000-0001-6234-5934
                https://orcid.org/0000-0001-9057-6297
                https://orcid.org/0000-0003-2805-8215
                https://orcid.org/0000-0002-0183-917X
                https://orcid.org/0000-0002-0166-8630
                https://orcid.org/0000-0002-5617-8022
                https://orcid.org/0000-0002-9034-9112
                https://orcid.org/0000-0002-7514-3802
                https://orcid.org/0000-0002-3300-6965
                https://orcid.org/0000-0001-7084-0804
                https://orcid.org/0000-0001-5825-7237
                Article
                abq7360
                10.1126/scitranslmed.abq7360
                9765458
                36194133
                9f836200-c8a8-496f-beed-959314fc140c
                Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).

                This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 27 April 2022
                : 18 July 2022
                : 21 September 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000011, Howard Hughes Medical Institute;
                Funded by: FundRef http://dx.doi.org/10.13039/501100002428, Austrian Science Fund;
                Award ID: ATU57495534
                Funded by: NIAID;
                Award ID: U19 AI171954
                Categories
                Research Article
                Research Articles
                STM r-articles
                Coronavirus
                Custom metadata
                Courtney Malo

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