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      Efficacy of Phytochemicals Derived from Avicennia officinalis for the Management of COVID-19: A Combined In Silico and Biochemical Study

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          Abstract

          The recent coronavirus disease 2019 (COVID-19) pandemic is a global threat for healthcare management and the economic system, and effective treatments against the pathogenic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus responsible for this disease have not yet progressed beyond the developmental phases. As drug refinement and vaccine progression require enormously broad investments of time, alternative strategies are urgently needed. In this study, we examined phytochemicals extracted from Avicennia officinalis and evaluated their potential effects against the main protease of SARS-CoV-2. The antioxidant activities of A. officinalis leaf and fruit extracts at 150 µg/mL were 95.97% and 92.48%, respectively. Furthermore, both extracts displayed low cytotoxicity levels against Artemia salina. The gas chromatography–mass spectroscopy analysis confirmed the identifies of 75 phytochemicals from both extracts, and four potent compounds, triacontane, hexacosane, methyl linoleate, and methyl palminoleate, had binding free energy values of −6.75, −6.7, −6.3, and −6.3 Kcal/mol, respectively, in complexes with the SARS-CoV-2 main protease. The active residues Cys145, Met165, Glu166, Gln189, and Arg188 in the main protease formed non-bonded interactions with the screened compounds. The root-mean-square difference (RMSD), root-mean-square fluctuations (RMSF), radius of gyration (Rg), solvent-accessible surface area (SASA), and hydrogen bond data from a molecular dynamics simulation study confirmed the docked complexes′ binding rigidity in the atomistic simulated environment. However, this study′s findings require in vitro and in vivo validation to ensure the possible inhibitory effects and pharmacological efficacy of the identified compounds.

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          AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading.

          AutoDock Vina, a new program for molecular docking and virtual screening, is presented. AutoDock Vina achieves an approximately two orders of magnitude speed-up compared with the molecular docking software previously developed in our lab (AutoDock 4), while also significantly improving the accuracy of the binding mode predictions, judging by our tests on the training set used in AutoDock 4 development. Further speed-up is achieved from parallelism, by using multithreading on multicore machines. AutoDock Vina automatically calculates the grid maps and clusters the results in a way transparent to the user. Copyright 2009 Wiley Periodicals, Inc.
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            We describe the testing and release of AutoDock4 and the accompanying graphical user interface AutoDockTools. AutoDock4 incorporates limited flexibility in the receptor. Several tests are reported here, including a redocking experiment with 188 diverse ligand-protein complexes and a cross-docking experiment using flexible sidechains in 87 HIV protease complexes. We also report its utility in analysis of covalently bound ligands, using both a grid-based docking method and a modification of the flexible sidechain technique. (c) 2009 Wiley Periodicals, Inc.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Molecules
                Molecules
                molecules
                Molecules
                MDPI
                1420-3049
                12 April 2021
                April 2021
                : 26
                : 8
                : 2210
                Affiliations
                [1 ]Microbiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh; shafimahmudfz@ 123456gmail.com (S.M.); gobindokumar38@ 123456gmail.com (G.K.P.); buligeb1127@ 123456gmail.com (S.I.); szaman@ 123456ru.ac.bd (S.Z.); salim.geb@ 123456ru.ac.bd (M.S.U.)
                [2 ]Bangladesh Reference Institute for Chemical Measurements, BRiCM, Bangladesh Council of Scientific and Industrial Research, Dhanmondi, Dhaka 1205, Bangladesh; mirolapharma31@ 123456gmail.com (M.A.); razu_ss86@ 123456yahoo.com (M.H.R.); malakhan_07@ 123456yahoo.com (M.K.)
                [3 ]Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh; swagota33@ 123456gmail.com (S.B.R.G.); suvrobiswas0@ 123456gmail.com (S.B.)
                [4 ]Research Institute on Terrestrial Ecosystems (IRET)-UOS Naples, National Research Council of Italy (CNR), via P. Castellino 111, 80131 Naples, Italy; nunzio.cacciola@ 123456iret.cnr.it
                [5 ]Department of Pharmacy, BGC Trust University Bangladesh, Chittagong 4381, Bangladesh
                [6 ]Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy
                [7 ]Nutrition and Bromatology Group, Department of Analytical and Food Chemistry, Faculty of Food Science and Technology, Ourense Campus, University of Vigo, E32004 Ourense, Spain
                Author notes
                [* ]Correspondence: talhabmb@ 123456bgctub.ac.bd (T.B.E.); saleh@ 123456ru.ac.bd (M.A.S.); rafcapas@ 123456unina.it (R.C.); jsimal@ 123456uvigo.es (J.S.-G.); Tel.: +88-01819-942214 (T.B.E.); +88-01716-731747 (M.A.S.); +39-0816-78664 (R.C.); +34-988-387000 (J.S.-G.)
                [†]

                These authors are contributed equally.

                Author information
                https://orcid.org/0000-0002-0780-9844
                https://orcid.org/0000-0003-3188-2272
                https://orcid.org/0000-0001-5610-4763
                https://orcid.org/0000-0002-3335-1822
                https://orcid.org/0000-0001-9215-9737
                Article
                molecules-26-02210
                10.3390/molecules26082210
                8070553
                33921289
                1e9fe968-949d-439a-bd44-56c5b28c7969
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 12 March 2021
                : 09 April 2021
                Categories
                Article

                sars-cov-2,avicennia officinalis,main protease,gc-ms,antioxidant,molecular dynamics simulation

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