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      Does Substrate Positioning Affect the Selectivity and Reactivity in the Hectochlorin Biosynthesis Halogenase?

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          Abstract

          In this work we present the first computational study on the hectochlorin biosynthesis enzyme HctB, which is a unique three-domain halogenase that activates non-amino acid moieties tethered to an acyl-carrier, and as such may have biotechnological relevance beyond other halogenases. We use a combination of small cluster models and full enzyme structures calculated with quantum mechanics/molecular mechanics methods. Our work reveals that the reaction is initiated with a rate-determining hydrogen atom abstraction from substrate by an iron (IV)-oxo species, which creates an iron (III)-hydroxo intermediate. In a subsequent step the reaction can bifurcate to either halogenation or hydroxylation of substrate, but substrate binding and positioning drives the reaction to optimal substrate halogenation. Furthermore, several key residues in the protein have been identified for their involvement in charge-dipole interactions and induced electric field effects. In particular, two charged second coordination sphere amino acid residues (Glu 223 and Arg 245) appear to influence the charge density on the Cl ligand and push the mechanism toward halogenation. Our studies, therefore, conclude that nonheme iron halogenases have a chemical structure that induces an electric field on the active site that affects the halide and iron charge distributions and enable efficient halogenation. As such, HctB is intricately designed for a substrate halogenation and operates distinctly different from other nonheme iron halogenases.

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          Fully optimized contracted Gaussian basis sets for atoms Li to Kr

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            Dioxygen activation at mononuclear nonheme iron active sites: enzymes, models, and intermediates.

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              Protein–Sol: a web tool for predicting protein solubility from sequence

              Abstract Motivation Protein solubility is an important property in industrial and therapeutic applications. Prediction is a challenge, despite a growing understanding of the relevant physicochemical properties. Results Protein–Sol is a web server for predicting protein solubility. Using available data for Escherichia coli protein solubility in a cell-free expression system, 35 sequence-based properties are calculated. Feature weights are determined from separation of low and high solubility subsets. The model returns a predicted solubility and an indication of the features which deviate most from average values. Two other properties are profiled in windowed calculation along the sequence: fold propensity, and net segment charge. The utility of these additional features is demonstrated with the example of thioredoxin. Availability and implementation The Protein–Sol webserver is available at http://protein-sol.manchester.ac.uk. Contact jim.warwicker@manchester.ac.uk
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                Author and article information

                Contributors
                Journal
                Front Chem
                Front Chem
                Front. Chem.
                Frontiers in Chemistry
                Frontiers Media S.A.
                2296-2646
                30 October 2018
                2018
                : 6
                : 513
                Affiliations
                [1] 1The Manchester Institute of Biotechnology and School of Chemical Engineering and Analytical Science, University of Manchester , Manchester, United Kingdom
                [2] 2The Manchester Institute of Biotechnology and School of Chemistry, University of Manchester , Manchester, United Kingdom
                [3] 3Institute of Biochemistry, Graz University of Technology , Graz, Austria
                [4] 4Institute of Molecular Biosciences, Graz University , Graz, Austria
                Author notes

                Edited by: Fahmi Himo, Stockholm University, Sweden

                Reviewed by: Rongzhen Liao, Huazhong University of Science and Technology, China; Robert S. Paton, Colorado State University, United States

                *Correspondence: Sam P. de Visser sam.devisser@ 123456manchester.ac.uk

                This article was submitted to Theoretical and Computational Chemistry, a section of the journal Frontiers in Chemistry

                Article
                10.3389/fchem.2018.00513
                6218459
                30425979
                db1a9c6d-352d-4662-b7dc-4ba883cfb761
                Copyright © 2018 Timmins, Fowler, Warwicker, Straganz and de Visser.

                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(s) 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
                : 01 September 2018
                : 04 October 2018
                Page count
                Figures: 11, Tables: 1, Equations: 0, References: 135, Pages: 19, Words: 15687
                Funding
                Funded by: Biotechnology and Biological Sciences Research Council 10.13039/501100000268
                Categories
                Chemistry
                Original Research

                nonheme iron,enzyme catalysis,reaction mechanism,qm/mm,density functional theory,halogenation,hydroxylation

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