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      Discovering Novel Alternaria solani Succinate Dehydrogenase Inhibitors by in Silico Modeling and Virtual Screening Strategies to Combat Early Blight

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          Abstract

          Alternaria blight is an important foliage disease caused by Alternaria solani. The enzyme Succinate dehydrogenase (SDH) is a potential drug target because of its role in tricarboxylic acid cycle. Hence targeting Alternaria solani SDH enzyme could be efficient tool to design novel fungicides against A. solani. We employed computational methodologies to design new SDH inhibitors using homology modeling; pharmacophore modeling and structure based virtual screening. The three dimensional SDH model showed good stereo-chemical and structural properties. Based on virtual screening results twelve commercially available compounds were purchased and tested in vitro and in vivo. The compounds were found to inhibit mycelial growth of A. solani. Moreover in vitro trials showed that inhibitory effects were enhanced with increase in concentrations. Similarly increased disease control was observed in pre-treated potato tubers. Hence the applied in silico strategy led us to identify novel fungicides.

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          Most cited references69

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          VERIFY3D: assessment of protein models with three-dimensional profiles.

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            Natural engineering principles of electron tunnelling in biological oxidation-reduction.

            We have surveyed proteins with known atomic structure whose function involves electron transfer; in these, electrons can travel up to 14 A between redox centres through the protein medium. Transfer over longer distances always involves a chain of cofactors. This redox centre proximity alone is sufficient to allow tunnelling of electrons at rates far faster than the substrate redox reactions it supports. Consequently, there has been no necessity for proteins to evolve optimized routes between redox centres. Instead, simple geometry enables rapid tunnelling to high-energy intermediate states. This greatly simplifies any analysis of redox protein mechanisms and challenges the need to postulate mechanisms of superexchange through redox centres or the maintenance of charge neutrality when investigating electron-transfer reactions. Such tunnelling also allows sequential electron transfer in catalytic sites to surmount radical transition states without involving the movement of hydride ions, as is generally assumed. The 14 A or less spacing of redox centres provides highly robust engineering for electron transfer, and may reflect selection against designs that have proved more vulnerable to mutations during the course of evolution.
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              Membrane protein folding and stability: physical principles.

              Stably folded membrane proteins reside in a free energy minimum determined by the interactions of the peptide chains with each other, the lipid bilayer hydrocarbon core, the bilayer interface, and with water. The prediction of three-dimensional structure from sequence requires a detailed understanding of these interactions. Progress toward this objective is summarized in this review by means of a thermodynamic framework for describing membrane protein folding and stability. The framework includes a coherent thermodynamic formalism for determining and describing the energetics of peptide-bilayer interactions and a review of the properties of the environment of membrane proteins--the bilayer milieu. Using a four-step thermodynamic cycle as a guide, advances in three main aspects of membrane protein folding energetics are discussed: protein binding and folding in bilayer interfaces, transmembrane helix insertion, and helix-helix interactions. The concepts of membrane protein stability that emerge provide insights to fundamental issues of protein folding.
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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
                17 November 2017
                2017
                : 5
                : 100
                Affiliations
                [1] 1Institute of Agricultural Sciences, University of the Punjab , Lahore, Pakistan
                [2] 2Center of Excellence in Molecular Biology, University of the Punjab , Lahore, Pakistan
                [3] 3Department of Biochemistry, Kinnaird College for Women , Lahore, Pakistan
                [4] 4Plant Breeding, Wageningen University and Research , Wageningen, Netherlands
                [5] 5Department of Chemistry, COMSATS Institute of Information Technology , Abbottabad, Pakistan
                [6] 6UoN Chair of Oman Medicinal Plants and Marine Products, University of Nizwa , Nizwa, Oman
                Author notes

                Edited by: Ime Bassey Obot, King Fahd University of Petroleum and Minerals, Saudi Arabia

                Reviewed by: José Pedro Cerón-Carrasco, Universidad Católica San Antonio de Murcia, Spain; Daniel Glossman-Mitnik, Centro de Investigación en Materiales Avanzados, Mexico; Wei Li, Nanjing University, China

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

                Article
                10.3389/fchem.2017.00100
                5698277
                29204422
                41bbd643-b6b3-4f7a-b051-628b2537363b
                Copyright © 2017 Iftikhar, Shahid, Halim, Wolters, Vleeshouwers, Khan, Al-Harrasi and Ahmad.

                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) or licensor 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
                : 03 August 2017
                : 30 October 2017
                Page count
                Figures: 8, Tables: 4, Equations: 4, References: 80, Pages: 17, Words: 12139
                Categories
                Chemistry
                Original Research

                alternaria solani,succinate dehydrogenase,homology modeling,pharmacophore modeling,docking and virtual screening

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