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      The crystal structure of mycobacterial epoxide hydrolase A

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          Abstract

          The human pathogen Mycobacterium tuberculosis is the causative agent of tuberculosis resulting in over 1 million fatalities every year, despite decades of research into the development of new anti-TB compounds. Unlike most other organisms M. tuberculosis has six putative genes for epoxide hydrolases (EH) of the α/β-hydrolase family with little known about their individual substrates, suggesting functional significance for these genes to the organism. Due to their role in detoxification, M. tuberculosis EH’s have been identified as potential drug targets. Here, we demonstrate epoxide hydrolase activity of M. thermoresistibile epoxide hydrolase A (Mth-EphA) and report its crystal structure in complex with the inhibitor 1,3-diphenylurea at 2.0 Å resolution. Mth-EphA displays high sequence similarity to its orthologue from M. tuberculosis and generally high structural similarity to α/β-hydrolase EHs. The structure of the inhibitor bound complex reveals the geometry of the catalytic residues and the conformation of the inhibitor. Comparison to other EHs from mycobacteria allows insight into the active site plasticity with respect to substrate specificity. We speculate that mycobacterial EHs may have a narrow substrate specificity providing a potential explanation for the genetic repertoire of epoxide hydrolase genes in M. tuberculosis.

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          Most cited references38

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          Automatic processing of rotation diffraction data from crystals of initially unknown symmetry and cell constants

          W Kabsch (1993)
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            ESPript/ENDscript: Extracting and rendering sequence and 3D information from atomic structures of proteins.

            The fortran program ESPript was created in 1993, to display on a PostScript figure multiple sequence alignments adorned with secondary structure elements. A web server was made available in 1999 and ESPript has been linked to three major web tools: ProDom which identifies protein domains, PredictProtein which predicts secondary structure elements and NPS@ which runs sequence alignment programs. A web server named ENDscript was created in 2002 to facilitate the generation of ESPript figures containing a large amount of information. ENDscript uses programs such as BLAST, Clustal and PHYLODENDRON to work on protein sequences and such as DSSP, CNS and MOLSCRIPT to work on protein coordinates. It enables the creation, from a single Protein Data Bank identifier, of a multiple sequence alignment figure adorned with secondary structure elements of each sequence of known 3D structure. Similar 3D structures are superimposed in turn with the program PROFIT and a final figure is drawn with BOBSCRIPT, which shows sequence and structure conservation along the Calpha trace of the query. ESPript and ENDscript are available at http://genopole.toulouse.inra.fr/ESPript.
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              Bayesian deconvolution of mass and ion mobility spectra: from binary interactions to polydisperse ensembles.

              Interpretation of mass spectra is challenging because they report a ratio of two physical quantities, mass and charge, which may each have multiple components that overlap in m/z. Previous approaches to disentangling the two have focused on peak assignment or fitting. However, the former struggle with complex spectra, and the latter are generally computationally intensive and may require substantial manual intervention. We propose a new data analysis approach that employs a Bayesian framework to separate the mass and charge dimensions. On the basis of this approach, we developed UniDec (Universal Deconvolution), software that provides a rapid, robust, and flexible deconvolution of mass spectra and ion mobility-mass spectra with minimal user intervention. Incorporation of the charge-state distribution in the Bayesian prior probabilities provides separation of the m/z spectrum into its physical mass and charge components. We have evaluated our approach using systems of increasing complexity, enabling us to deduce lipid binding to membrane proteins, to probe the dynamics of subunit exchange reactions, and to characterize polydispersity in both protein assemblies and lipoprotein Nanodiscs. The general utility of our approach will greatly facilitate analysis of ion mobility and mass spectra.
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                Author and article information

                Contributors
                eike.schulz@mpsd.mpg.de
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                6 October 2020
                6 October 2020
                2020
                : 10
                : 16539
                Affiliations
                [1 ]GRID grid.469852.4, ISNI 0000 0004 1796 3508, Max Planck Institute for the Structure and Dynamics of Matter, ; Luruper Chausee 149, 22761 Hamburg, Germany
                [2 ]GRID grid.475756.2, ISNI 0000 0004 0444 5410, European Molecular Biology Laboratory, , Hamburg Unit, ; Notkestrasse 85, 22603 Hamburg, Germany
                [3 ]GRID grid.9026.d, ISNI 0000 0001 2287 2617, Hamburg School of Food Science, Institute of Food Chemistry, , Universität Hamburg, ; Grindelallee 117, 20146 Hamburg, Germany
                [4 ]GRID grid.418481.0, ISNI 0000 0001 0665 103X, Heinrich Pette Institute, Leibniz Institute for Experimental Virology, ; Martinistraße 52, 20251 Hamburg, Germany
                [5 ]GRID grid.434729.f, ISNI 0000 0004 0590 2900, European XFEL GmbH, ; Holzkoppel 4, 22869 Schenefeld, Germany
                [6 ]GRID grid.9026.d, ISNI 0000 0001 2287 2617, University of Hamburg Medical Center Hamburg-Eppendorf, ; Martinistraße 52, 20246 Hamburg, Germany
                [7 ]GRID grid.8273.e, ISNI 0000 0001 1092 7967, Present Address: Norwich Medical School, ; Rosalind Franklin Road, Norwich Research Park, Norwich, Norfolk, NR4 7UQ UK
                [8 ]Present Address: Sosei Heptares, Steinmetz Building, Granta Park, Great Abington, Cambridge, CB21 6DG UK
                Article
                73452
                10.1038/s41598-020-73452-y
                7538969
                33024154
                61d58285-5dfe-40a2-9641-82772810b0a5
                © The Author(s) 2020

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 September 2019
                : 16 September 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100008662, Joachim Herz Stiftung;
                Funded by: FundRef http://dx.doi.org/10.13039/501100001664, Leibniz-Gemeinschaft;
                Award ID: SAW-2014-HPI-4
                Funded by: FundRef http://dx.doi.org/10.13039/501100002347, Bundesministerium für Bildung und Forschung;
                Award ID: 0315908
                Funded by: Projekt DEAL
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                structural biology,x-ray crystallography
                Uncategorized
                structural biology, x-ray crystallography

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