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      In silico investigation of phytoconstituents from Cameroonian medicinal plants towards COVID-19 treatment

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          Abstract

          In silico studies performed on the metabolites of four Cameroonian medicinal plants with a view to propose potential molecules to fight against COVID-19 were carried out. At first, molecular docking was performed for a set of 84 selected phytochemicals with SARS-CoV-2 main protease (PDB ID: 6lu7) protein. It was further followed by assessing the pharmacokinetics and pharmacological abilities of 15 compounds, which showed low binding energy values. As the screening criteria for their ADMET properties were performed, only two compounds have shown suitable pharmacological properties for human administration which were shortlisted. Furthermore, the stability of binding of these compounds was assessed by performing molecular dynamics (MD) simulations. Based on further analysis through molecular dynamics simulations and reactivity studies, it was concluded that only the Pycnanthuquinone C (17) and the Pycnanthuquinone A (18) extracted from the Pycnanthus angolensis could be considered as candidate inhibitors for targeted protein. Indeed, we expect that these compounds could show excellent in vitro and in vivo activity against SARS-CoV-2.

          Supplementary information

          The online version contains supplementary material available at 10.1007/s11224-022-01939-7.

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          SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules

          To be effective as a drug, a potent molecule must reach its target in the body in sufficient concentration, and stay there in a bioactive form long enough for the expected biologic events to occur. Drug development involves assessment of absorption, distribution, metabolism and excretion (ADME) increasingly earlier in the discovery process, at a stage when considered compounds are numerous but access to the physical samples is limited. In that context, computer models constitute valid alternatives to experiments. Here, we present the new SwissADME web tool that gives free access to a pool of fast yet robust predictive models for physicochemical properties, pharmacokinetics, drug-likeness and medicinal chemistry friendliness, among which in-house proficient methods such as the BOILED-Egg, iLOGP and Bioavailability Radar. Easy efficient input and interpretation are ensured thanks to a user-friendly interface through the login-free website http://www.swissadme.ch. Specialists, but also nonexpert in cheminformatics or computational chemistry can predict rapidly key parameters for a collection of molecules to support their drug discovery endeavours.
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            Canonical sampling through velocity rescaling

            The authors present a new molecular dynamics algorithm for sampling the canonical distribution. In this approach the velocities of all the particles are rescaled by a properly chosen random factor. The algorithm is formally justified and it is shown that, in spite of its stochastic nature, a quantity can still be defined that remains constant during the evolution. In numerical applications this quantity can be used to measure the accuracy of the sampling. The authors illustrate the properties of this new method on Lennard-Jones and TIP4P water models in the solid and liquid phases. Its performance is excellent and largely independent of the thermostat parameter also with regard to the dynamic properties.
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              Polymorphic transitions in single crystals: A new molecular dynamics method

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                Author and article information

                Contributors
                samirchtita@gmail.com
                Journal
                Struct Chem
                Struct Chem
                Structural Chemistry
                Springer US (New York )
                1040-0400
                1572-9001
                29 April 2022
                : 1-15
                Affiliations
                [1 ]GRID grid.412148.a, ISNI 0000 0001 2180 2473, Laboratory of Analytical and Molecular Chemistry, Faculty of Sciences Ben M’Sik, , Hassan II University of Casablanca, ; Sidi Othman, Box 7955, Casablanca, Morocco
                [2 ]GRID grid.8201.b, ISNI 0000 0001 0657 2358, Research Unit of Environmental and Applied Chemistry, Department of Chemistry, Faculty of Science, , University of Dschang, ; Box 67, Dschang, Cameroon
                [3 ]GRID grid.442402.4, ISNI 0000 0004 0448 8736, Group of Computational and Medicinal Chemistry, LMCE Laboratory, , University of Biskra, ; Biskra, Algeria
                [4 ]GRID grid.8201.b, ISNI 0000 0001 0657 2358, Research Unit of Noxious Chemistry and Environmental Engineering, Department of Chemistry, Faculty of Science, , University of Dschang, ; Box 67, Dschang, Cameroon
                [5 ]GRID grid.411340.3, ISNI 0000 0004 1937 0765, Department of Agricultural Microbiology, Faculty of Agricultural Sciences, , Aligarh Muslim University, ; Aligarh, UP-202002 India
                [6 ]GRID grid.440482.e, ISNI 0000 0000 8806 8069, Laboratory of Bioorganic Chemistry, Department of Chemistry, Faculty of Sciences, , Chouaïb Doukkali University, ; 24000 El Jadida, Morocco
                [7 ]GRID grid.20715.31, ISNI 0000 0001 2337 1523, Faculty of Sciences Dhar EL Mahraz, Engineering Laboratory of Organometallic and Molecular Materials and Environment, , University Sidi Mohamed Ben Abdellah, ; Box 1796 (Atlas), 30000 Fez, Morocco
                [8 ]GRID grid.411549.c, ISNI 0000000107049315, Department of Chemistry, Faculty of Arts and Sciences, , Gaziantep University, ; Gaziantep, Turkey
                [9 ]GRID grid.411549.c, ISNI 0000000107049315, Department of Bioinformatics and Computational Biology, , Institute of Health Sciences, Gaziantep University, ; Gaziantep, Turkey
                [10 ]High School of Technology of Khenifra, Sultane Slimane University, B.P. 591, Khenifra, Morocco
                [11 ]GRID grid.10412.36, ISNI 0000 0001 2303 077X, Molecular Chemistry and Natural Substances Laboratory, Department of Chemistry, Faculty of Sciences, , University Moulay Ismail, ; Meknes, Morocco
                Author information
                http://orcid.org/0000-0003-2344-5101
                Article
                1939
                10.1007/s11224-022-01939-7
                9051495
                35505923
                e0aaf12f-39b0-428a-a90c-873e6893d090
                © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 28 November 2021
                : 7 April 2022
                Categories
                Original Research

                sars-cov-2,cameroonian medicinal plants,pycnanthuquinone,pycnanthus angolensis,molecular docking,molecular dynamics,admet

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