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      Laminarinase from Flavobacterium sp. reveals the structural basis of thermostability and substrate specificity

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          Abstract

          Laminarinase from Flavobacterium sp. strain UMI-01, a new member of the glycosyl hydrolase 16 family of a marine bacterium associated with seaweeds, mainly degrades β-1,3-glucosyl linkages of β-glucan (such as laminarin) through the hydrolysis of glycosidic bonds. We determined the crystal structure of ULam111 at 1.60-Å resolution to understand the structural basis for its thermostability and substrate specificity. A calcium-binding motif located on the opposite side of the β-sheet from catalytic cleft increased its degrading activity and thermostability. The disulfide bridge Cys31-Cys34, located on the β2-β3 loop near the substrate-binding site, is responsible for the thermostability of ULam111. The substrates of β-1,3-linked laminarin and β-1,3-1,4-linked glucan bound to the catalytic cleft in a completely different mode at subsite -3. Asn33 and Trp113, together with Phe212, formed hydrogen bonds with preferred substrates to degrade β-1,3-linked laminarin based on the structural comparisons. Our structural information provides new insights concerning thermostability and substrate recognition that will enable the design of industrial biocatalysts.

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

            W Kabsch (1993)
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              Dali: a network tool for protein structure comparison.

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                Author and article information

                Contributors
                amtanok@mail.ecc.u-tokyo.ac.jp
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                12 September 2017
                12 September 2017
                2017
                : 7
                : 11425
                Affiliations
                [1 ]ISNI 0000 0001 2151 536X, GRID grid.26999.3d, Laboratory of Basic Science on Healthy Longevity, Department of Applied Biological Chemistry, , Graduate School of Agricultural and Life Sciences, The University of Tokyo, ; 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
                [2 ]College of Biotechnology, Tianjin University of Science and Technology, No. 29, 13th Avenue, Tianjin, 300457 China
                [3 ]ISNI 0000 0001 2173 7691, GRID grid.39158.36, Laboratory of Marine Biotechnology and Microbiology, , Graduate School of Fisheries Sciences, Hokkaido University, ; 3-1-1 Minato-cho, Hakodate, 041-8611 Japan
                Author information
                http://orcid.org/0000-0001-7733-4007
                http://orcid.org/0000-0001-5072-2480
                Article
                11542
                10.1038/s41598-017-11542-0
                5595797
                28900273
                098e2858-bb10-4a73-95f0-5b6a05ca1581
                © The Author(s) 2017

                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
                : 23 March 2017
                : 29 August 2017
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