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      Ligand-Induced Variations in Structural and Dynamical Properties Within an Enzyme Superfamily

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          Abstract

          Enzyme catalysis is a complex process involving several steps along the reaction coordinates, including substrate recognition and binding, chemical transformation, and product release. Evidence continues to emerge linking the functional and evolutionary role of conformational exchange processes in optimal catalytic activity. Ligand binding changes the conformational landscape of enzymes, inducing long-range conformational rearrangements. Using functionally distinct members of the pancreatic ribonuclease superfamily as a model system, we characterized the structural and conformational changes associated with the binding of two mononucleotide ligands. By combining NMR chemical shift titration experiments with the chemical shift projection analysis (CHESPA) and relaxation dispersion experiments, we show that biologically distinct members of the RNase superfamily display discrete chemical shift perturbations upon ligand binding that are not conserved even in structurally related members. Amino acid networks exhibiting coordinated chemical shift displacements upon binding of the two ligands are unique to each of the RNases analyzed. Our results reveal the contribution of conformational rearrangements to the observed chemical shift perturbations. These observations provide important insights into the contribution of the different ligand binding specificities and effects of conformational exchange on the observed perturbations associated with ligand binding for functionally diverse members of the pancreatic RNase superfamily.

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          Protein sectors: evolutionary units of three-dimensional structure.

          Proteins display a hierarchy of structural features at primary, secondary, tertiary, and higher-order levels, an organization that guides our current understanding of their biological properties and evolutionary origins. Here, we reveal a structural organization distinct from this traditional hierarchy by statistical analysis of correlated evolution between amino acids. Applied to the S1A serine proteases, the analysis indicates a decomposition of the protein into three quasi-independent groups of correlated amino acids that we term "protein sectors." Each sector is physically connected in the tertiary structure, has a distinct functional role, and constitutes an independent mode of sequence divergence in the protein family. Functionally relevant sectors are evident in other protein families as well, suggesting that they may be general features of proteins. We propose that sectors represent a structural organization of proteins that reflects their evolutionary histories.
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            Relationship between nuclear magnetic resonance chemical shift and protein secondary structure.

            An analysis of the 1H nuclear magnetic resonance chemical shift assignments and secondary structure designations for over 70 proteins has revealed some very strong and unexpected relationships. Similar studies, performed on smaller databases, for 13C and 15N chemical shifts reveal equally strong correlations to protein secondary structure. Among the more interesting results to emerge from this work is the finding that all 20 naturally occurring amino acids experience a mean alpha-1H upfield shift of 0.39 parts per million (from the random coil value) when placed in a helical configuration. In a like manner, the alpha-1H chemical shift is found to move downfield by an average of 0.37 parts per million when the residue is placed in a beta-strand or extended configuration. Similar changes are also found for amide 1H, carbonyl 13C, alpha-13C and amide 15N chemical shifts. Other relationships between chemical shift and protein conformation are also uncovered; in particular, a correlation between helix dipole effects and amide proton chemical shifts as well as a relationship between alpha-proton chemical shifts and main-chain flexibility. Additionally, useful relationships between alpha-proton chemical shifts and backbone dihedral angles as well as correlations between amide proton chemical shifts and hydrogen bond effects are demonstrated.
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              A Relaxation-Compensated Carr−Purcell−Meiboom−Gill Sequence for Characterizing Chemical Exchange by NMR Spectroscopy

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                Author and article information

                Contributors
                Journal
                Front Mol Biosci
                Front Mol Biosci
                Front. Mol. Biosci.
                Frontiers in Molecular Biosciences
                Frontiers Media S.A.
                2296-889X
                12 June 2018
                2018
                : 5
                : 54
                Affiliations
                [1] 1INRS – Institut Armand-Frappier, Université du Québec , Laval, QC, Canada
                [2] 2Genome Science and Technology, University of Tennessee , Knoxville, TN, United States
                [3] 3Computational Biology Institute and Computer Science and Engineering Division, Oak Ridge National Laboratory , Oak Ridge, TN, United States
                [4] 4Department of Biochemistry, Cellular and Molecular Biology, University of Tennessee , Knoxville, TN, United States
                [5] 5PROTEO, The Québec Network for Research on Protein Function, Engineering, and Applications, Université Laval , Québec, QC, Canada
                Author notes

                Edited by: David Douglas Boehr, Pennsylvania State University, United States

                Reviewed by: Martin Tollinger, University of Innsbruck, Austria; Gianluigi Veglia, University of Minnesota Twin Cities, United States

                *Correspondence: Nicolas Doucet nicolas.doucet@ 123456iaf.inrs.ca

                This article was submitted to Structural Biology, a section of the journal Frontiers in Molecular Biosciences

                †Present Address: Donald Gagné, Structural Biology Initiative, CUNY Advanced Science Research Center, New York, NY, United States

                Article
                10.3389/fmolb.2018.00054
                6005897
                29946547
                92925258-9bfb-49aa-8414-af9fa7a1dc2c
                Copyright © 2018 Narayanan, Bernard, Bafna, Gagné, Agarwal and Doucet.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 24 February 2018
                : 23 May 2018
                Page count
                Figures: 6, Tables: 1, Equations: 3, References: 42, Pages: 12, Words: 8499
                Funding
                Funded by: National Institute of General Medical Sciences 10.13039/100000057
                Award ID: R01GM105978
                Funded by: Natural Sciences and Engineering Research Council of Canada 10.13039/501100000038
                Award ID: RGPIN-2016-05557
                Funded by: Fonds de Recherche du Québec - Santé 10.13039/501100000156
                Award ID: 32743
                Categories
                Molecular Biosciences
                Original Research

                enzyme catalysis,ligand binding,chemical shift projection analysis,chespa,pancreatic ribonucleases,nuclear magnetic resonance,titration

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