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      Mapping inhibitory sites on the RNA polymerase of the 1918 pandemic influenza virus using nanobodies

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          Abstract

          Influenza A viruses cause seasonal epidemics and global pandemics, representing a considerable burden to healthcare systems. Central to the replication cycle of influenza viruses is the viral RNA-dependent RNA polymerase which transcribes and replicates the viral RNA genome. The polymerase undergoes conformational rearrangements and interacts with viral and host proteins to perform these functions. Here we determine the structure of the 1918 influenza virus polymerase in transcriptase and replicase conformations using cryo-electron microscopy (cryo-EM). We then structurally and functionally characterise the binding of single-domain nanobodies to the polymerase of the 1918 pandemic influenza virus. Combining these functional and structural data we identify five sites on the polymerase which are sensitive to inhibition by nanobodies. We propose that the binding of nanobodies at these sites either prevents the polymerase from assuming particular functional conformations or interactions with viral or host factors. The polymerase is highly conserved across the influenza A subtypes, suggesting these sites as effective targets for potential influenza antiviral development.

          Abstract

          Influenza viruses carry their own RNAdependent RNA-polymerase that is highly conserved and a promising anti-viral target. Combining functional and structural data, Keown et al. characterise the inhibitory effect of nanobodies on 1918 pandemic H1N1 influenza strain polymerase complex and identify sensitive sites interfering with polymerase activity in vitro.

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          Most cited references51

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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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            SWISS-MODEL: homology modelling of protein structures and complexes

            Abstract Homology modelling has matured into an important technique in structural biology, significantly contributing to narrowing the gap between known protein sequences and experimentally determined structures. Fully automated workflows and servers simplify and streamline the homology modelling process, also allowing users without a specific computational expertise to generate reliable protein models and have easy access to modelling results, their visualization and interpretation. Here, we present an update to the SWISS-MODEL server, which pioneered the field of automated modelling 25 years ago and been continuously further developed. Recently, its functionality has been extended to the modelling of homo- and heteromeric complexes. Starting from the amino acid sequences of the interacting proteins, both the stoichiometry and the overall structure of the complex are inferred by homology modelling. Other major improvements include the implementation of a new modelling engine, ProMod3 and the introduction a new local model quality estimation method, QMEANDisCo. SWISS-MODEL is freely available at https://swissmodel.expasy.org.
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              cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination

              A software tool, cryoSPARC, addresses the speed bottleneck in cryo-EM image processing, enabling automated macromolecular structure determination in hours on a desktop computer without requiring a starting model.
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                Author and article information

                Contributors
                ervin.fodor@path.ox.ac.uk
                jonathan@strubi.ox.ac.uk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                11 January 2022
                11 January 2022
                2022
                : 13
                : 251
                Affiliations
                [1 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, Division of Structural Biology, Wellcome Centre for Human Genetics, , University of Oxford, ; Oxford, UK
                [2 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, Sir William Dunn School of Pathology, , University of Oxford, ; Oxford, UK
                [3 ]GRID grid.11486.3a, ISNI 0000000104788040, VIB-VUB Center for Structural Biology, , VIB, ; Brussels, Belgium
                [4 ]GRID grid.8767.e, ISNI 0000 0001 2290 8069, Structural Biology Brussels, , Vrije Universiteit Brussel, ; Brussels, Belgium
                [5 ]GRID grid.18785.33, ISNI 0000 0004 1764 0696, Harwell Science & Innovation Campus, , Diamond Light Source Ltd, ; Didcot, UK
                [6 ]GRID grid.5337.2, ISNI 0000 0004 1936 7603, Present Address: School of Cellular and Molecular Medicine, Faculty of Life Sciences, , University of Bristol, ; Bristol, UK
                [7 ]GRID grid.5477.1, ISNI 0000000120346234, Present Address: Department of Virology, Faculty of Veterinary Sciences, , Utrecht University, ; Utrecht, The Netherlands
                Author information
                http://orcid.org/0000-0003-0159-9257
                http://orcid.org/0000-0002-2466-0172
                http://orcid.org/0000-0002-3825-874X
                http://orcid.org/0000-0003-3249-196X
                Article
                27950
                10.1038/s41467-021-27950-w
                8752864
                35017564
                ca626ab9-7dd4-457e-afdf-25f3cae9073d
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 4 June 2021
                : 21 December 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100009187, RCUK | MRC | Medical Research Foundation;
                Award ID: MR/R009945/1
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100004440, Wellcome Trust (Wellcome);
                Award ID: 200835/Z/16/Z
                Award Recipient :
                Categories
                Article
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                © The Author(s) 2022

                Uncategorized
                influenza virus,cryoelectron microscopy
                Uncategorized
                influenza virus, cryoelectron microscopy

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