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      Structure of a Pestivirus Envelope Glycoprotein E2 Clarifies Its Role in Cell Entry

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          Summary

          Enveloped viruses have developed various adroit mechanisms to invade their host cells. This process requires one or more viral envelope glycoprotein to achieve cell attachment and membrane fusion. Members of the Flaviviridae such as flaviviruses possess only one envelope glycoprotein, E, whereas pestiviruses and hepacivirus encode two glycoproteins, E1 and E2. Although E2 is involved in cell attachment, it has been unclear which protein is responsible for membrane fusion. We report the crystal structures of the homodimeric glycoprotein E2 from the pestivirus bovine viral diarrhea virus 1 (BVDV1) at both neutral and low pH. Unexpectedly, BVDV1 E2 does not have a class II fusion protein fold, and at low pH the N-terminal domain is disordered, similarly to the intermediate postfusion state of E2 from sindbis virus, an alphavirus. Our results suggest that the pestivirus and possibly the hepacivirus fusion machinery are unlike any previously observed.

          Abstract

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          Highlights

          ► Structure of the major antigenically dominant protein of BVDV ► The overall fold of BVDV E2 shows no similarity to the class II fusion proteins ► At low pH, BVDV E2 N-terminal domain is disordered ► Entry mechanism of BVDV is probably applicable to hepatitis C virus

          Abstract

          Stuart and colleagues have determined the atomic structure of the ectodomain of bovine viral diarrhea virus E2 glycoprotein, the major, antigenically dominant protein on the virus surface. The structure was expected to resemble the fusion molecules found on the surface of viruses such as dengue virus, but it is unlike anything previously seen. E2 itself is not, in fact, the fusion protein but binds the cell receptor and directs fusion via a pH-dependent conformational switch.

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          Most cited references31

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          Binding of hepatitis C virus to CD81.

          Chronic hepatitis C virus (HCV) infection occurs in about 3 percent of the world's population and is a major cause of liver disease. HCV infection is also associated with cryoglobulinemia, a B lymphocyte proliferative disorder. Virus tropism is controversial, and the mechanisms of cell entry remain unknown. The HCV envelope protein E2 binds human CD81, a tetraspanin expressed on various cell types including hepatocytes and B lymphocytes. Binding of E2 was mapped to the major extracellular loop of CD81. Recombinant molecules containing this loop bound HCV and antibodies that neutralize HCV infection in vivo inhibited virus binding to CD81 in vitro.
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            Very fast prediction and rationalization of pKa values for protein-ligand complexes.

            The PROPKA method for the prediction of the pK(a) values of ionizable residues in proteins is extended to include the effect of non-proteinaceous ligands on protein pK(a) values as well as predict the change in pK(a) values of ionizable groups on the ligand itself. This new version of PROPKA (PROPKA 2.0) is, as much as possible, developed by adapting the empirical rules underlying PROPKA 1.0 to ligand functional groups. Thus, the speed of PROPKA is retained, so that the pK(a) values of all ionizable groups are computed in a matter of seconds for most proteins. This adaptation is validated by comparing PROPKA 2.0 predictions to experimental data for 26 protein-ligand complexes including trypsin, thrombin, three pepsins, HIV-1 protease, chymotrypsin, xylanase, hydroxynitrile lyase, and dihydrofolate reductase. For trypsin and thrombin, large protonation state changes (|n| > 0.5) have been observed experimentally for 4 out of 14 ligand complexes. PROPKA 2.0 and Klebe's PEOE approach (Czodrowski P et al. J Mol Biol 2007;367:1347-1356) both identify three of the four large protonation state changes. The protonation state changes due to plasmepsin II, cathepsin D and endothiapepsin binding to pepstatin are predicted to within 0.4 proton units at pH 6.5 and 7.0, respectively. The PROPKA 2.0 results indicate that structural changes due to ligand binding contribute significantly to the proton uptake/release, as do residues far away from the binding site, primarily due to the change in the local environment of a particular residue and hence the change in the local hydrogen bonding network. Overall the results suggest that PROPKA 2.0 provides a good description of the protein-ligand interactions that have an important effect on the pK(a) values of titratable groups, thereby permitting fast and accurate determination of the protonation states of key residues and ligand functional groups within the binding or active site of a protein.
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              The PILATUS 1M detector.

              The PILATUS 1M detector is a hybrid pixel array detector with over one million pixels that operate in single photon counting mode. The detector, designed for macromolecular crystallography, is the largest pixel array detector currently in use at a synchrotron. It is a modular system consisting of 18 multichip modules covering an area of 21 cm x 24 cm. The design of the components as well as the manufacturing of the detector including the bump-bonding was performed at the Paul Scherrer Institute (PSI). The use of a single photon counting detector for protein crystallography requires detailed studies of the charge collection properties of the silicon sensor. The 18 modules are read out in parallel, leading to a full frame readout-time of 6.7 ms. This allows crystallographic data to be acquired in fine-varphi-slicing mode with continuous rotation of the sample. The detector was tested in several experiments at the protein crystallography beamline X06SA at the Swiss Light Source at PSI. Data were collected both in conventional oscillation mode using the shutter, as well as in a fine-varphi-slicing mode. After applying all the necessary corrections to data from a thaumatin crystal, the processing of the conventional data led to satisfactory merging R-factors of the order of 8.5%. This allows, for the first time, determination of a refined electron density map of a macromolecular biological crystal using a silicon pixel detector.
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                Author and article information

                Journal
                Cell Rep
                Cell Rep
                Cell Reports
                Cell Press
                2211-1247
                31 January 2013
                31 January 2013
                : 3
                : 1
                : 30-35
                Affiliations
                [1 ]Division of Structural Biology, The Wellcome Trust Center for Human Genetics, University of Oxford, Headington, Oxford OX3 7BN, UK
                [2 ]Diamond Light Source Limited, Harwell Science and Innovation Campus, Didcot OX11 0DE, UK
                Author notes
                []Corresponding author dave@ 123456strubi.ox.ac.uk
                [3]

                These authors contributed equally to this work

                Article
                CELREP256
                10.1016/j.celrep.2012.12.001
                3607223
                23273918
                a54e8e95-ef6a-4d53-9db8-96902e173db1
                © 2013 The Authors
                History
                : 20 September 2012
                : 10 November 2012
                : 3 December 2012
                Categories
                Report

                Cell biology
                Cell biology

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