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      Structural insights into catalytic and substrate binding mechanisms of the strategic EndA nuclease from Streptococcus pneumoniae

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          Abstract

          EndA is a sequence non-specific endonuclease that serves as a virulence factor during Streptococcus pneumoniae infection. Expression of EndA provides a strategy for evasion of the host's neutrophil extracellular traps, digesting the DNA scaffold structure and allowing further invasion by S. pneumoniae. To define mechanisms of catalysis and substrate binding, we solved the structure of EndA at 1.75 Å resolution. The EndA structure reveals a DRGH (Asp-Arg-Gly-His) motif-containing ββα-metal finger catalytic core augmented by an interesting ‘finger-loop’ interruption of the active site α-helix. Subsequently, we delineated DNA binding versus catalytic functionality using structure-based alanine substitution mutagenesis. Three mutants, H154A, Q186A and Q192A, exhibited decreased nuclease activity that appears to be independent of substrate binding. Glu205 was found to be crucial for catalysis, while residues Arg127/Lys128 and Arg209/Lys210 contribute to substrate binding. The results presented here provide the molecular foundation for development of specific antibiotic inhibitors for EndA.

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          Most cited references40

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          Structure validation by Calpha geometry: phi,psi and Cbeta deviation.

          Geometrical validation around the Calpha is described, with a new Cbeta measure and updated Ramachandran plot. Deviation of the observed Cbeta atom from ideal position provides a single measure encapsulating the major structure-validation information contained in bond angle distortions. Cbeta deviation is sensitive to incompatibilities between sidechain and backbone caused by misfit conformations or inappropriate refinement restraints. A new phi,psi plot using density-dependent smoothing for 81,234 non-Gly, non-Pro, and non-prePro residues with B < 30 from 500 high-resolution proteins shows sharp boundaries at critical edges and clear delineation between large empty areas and regions that are allowed but disfavored. One such region is the gamma-turn conformation near +75 degrees,-60 degrees, counted as forbidden by common structure-validation programs; however, it occurs in well-ordered parts of good structures, it is overrepresented near functional sites, and strain is partly compensated by the gamma-turn H-bond. Favored and allowed phi,psi regions are also defined for Pro, pre-Pro, and Gly (important because Gly phi,psi angles are more permissive but less accurately determined). Details of these accurate empirical distributions are poorly predicted by previous theoretical calculations, including a region left of alpha-helix, which rates as favorable in energy yet rarely occurs. A proposed factor explaining this discrepancy is that crowding of the two-peptide NHs permits donating only a single H-bond. New calculations by Hu et al. [Proteins 2002 (this issue)] for Ala and Gly dipeptides, using mixed quantum mechanics and molecular mechanics, fit our nonrepetitive data in excellent detail. To run our geometrical evaluations on a user-uploaded file, see MOLPROBITY (http://kinemage.biochem.duke.edu) or RAMPAGE (http://www-cryst.bioc.cam.ac.uk/rampage). Copyright 2003 Wiley-Liss, Inc.
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            ImageJ for microscopy.

            ImageJ is an essential tool for us that fulfills most of our routine image processing and analysis requirements. The near-comprehensive range of import filters that allow easy access to image and meta-data, a broad suite processing and analysis routine, and enthusiastic support from a friendly mailing list are invaluable for all microscopy labs and facilities-not just those on a budget.
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              Improved methods for building protein models in electron density maps and the location of errors in these models.

              Map interpretation remains a critical step in solving the structure of a macromolecule. Errors introduced at this early stage may persist throughout crystallographic refinement and result in an incorrect structure. The normally quoted crystallographic residual is often a poor description for the quality of the model. Strategies and tools are described that help to alleviate this problem. These simplify the model-building process, quantify the goodness of fit of the model on a per-residue basis and locate possible errors in peptide and side-chain conformations.
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                Author and article information

                Journal
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                April 2011
                April 2011
                26 November 2010
                26 November 2010
                : 39
                : 7
                : 2943-2953
                Affiliations
                1Laboratory of Structural Biology, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, 27709, USA and 2Institute of Biochemistry, Justus-Liebig-University Giessen, Heinrich-Buff-Ring 58, D-35392 Giessen, Germany
                Author notes
                *To whom correspondence should be addressed. Tel: +919 541 0444; Fax: +919 541 7880; Email: pederse2@ 123456niehs.nih.gov
                Article
                gkq1152
                10.1093/nar/gkq1152
                3074123
                21113026
                755d5b83-14a0-4516-9191-1ff4192dde5f
                Published by Oxford University Press 2010.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 28 September 2010
                : 22 October 2010
                : 25 October 2010
                Categories
                Structural Biology

                Genetics
                Genetics

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