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      Involvement of GABA A Receptors in the Anxiolytic-Like Effect of Hydroxycitronellal

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          Abstract

          Hydroxycitronellal (HC) is a monoterpene present in essential oils of aromatic plants of different species, obtained from semisynthesis of citronellal, and is widely used as a fragrance in cosmetics. The objective of this work was to evaluate the possible anxiolytic-like activity of HC and its possible mechanism of action using in vivo and in silico methodologies. Swiss male mice ( Mus musculus) were treated with HC (12.5, 25, and 50 mg/kg, i.p.) and subjected to the rota rod, elevated plus maze, and open field tests. No significant impairments were observed in the rota rod tests for the motor activity of the animals treated with HC at 12.5, 25, and 50 mg/kg, i.p., indicating no myo-relaxing or sedative effects. In the elevated plus maze, HC (in the three doses) induced significant increases in the percentage of entries (respectively, 34.8%, 33.8%, and 38.6%) and in the length of stay (respectively, 49.9%, 56.1%, and 57.0%) in the open arms of the EPM, as well as the number of crossings in the open field tests. The mechanism of action of the compound's anxiolytic-like activity can be attributed to the involvement of GABA A receptors, and this interaction was observed in in vivo and in silico studies. For HC, the results suggest anxiolytic-like effects, possibly via modulation of the GABAergic system. The use of natural products to treat anxiety can become an alternative to existing synthetic products.

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          Most cited references81

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          UCSF Chimera--a visualization system for exploratory research and analysis.

          The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the extension mechanism satisfies the demands of outside developers who wish to incorporate new features. Two unusual extensions are presented: Multiscale, which adds the ability to visualize large-scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales. Other extensions include Multalign Viewer, for showing multiple sequence alignments and associated structures; ViewDock, for screening docked ligand orientations; Movie, for replaying molecular dynamics trajectories; and Volume Viewer, for display and analysis of volumetric data. A discussion of the usage of Chimera in real-world situations is given, along with anticipated future directions. Chimera includes full user documentation, is free to academic and nonprofit users, and is available for Microsoft Windows, Linux, Apple Mac OS X, SGI IRIX, and HP Tru64 Unix from http://www.cgl.ucsf.edu/chimera/. Copyright 2004 Wiley Periodicals, Inc.
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            GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

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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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                Author and article information

                Contributors
                Journal
                Biomed Res Int
                Biomed Res Int
                BMRI
                BioMed Research International
                Hindawi
                2314-6133
                2314-6141
                2021
                16 June 2021
                : 2021
                : 9929805
                Affiliations
                1Psychopharmacology Laboratory, Institute of Drugs and Medicines Research, Federal University of Paraíba, Campus I, 58051-085, Via Ipê Amarelo/SN, João Pessoa, Paraíba, Brazil
                2Department of Clinic and Social Dentistry, Center for Health Sciences, Federal University of Paraiba, Campus I, João Pessoa, PB, Brazil
                3Cheminformatics Laboratory, Institute of Drugs and Medicines Research, Federal University of Paraíba, Campus I, 58051-900, Via Ipê Amarelo/SN, João Pessoa, Paraíba, Brazil
                4Pharmaceutical Chemistry Laboratory, Institute of Drugs and Medicines Research, Federal University of Paraíba, João Pessoa, Brazil
                Author notes

                Academic Editor: Bogdan Tamba

                Author information
                https://orcid.org/0000-0003-4935-6625
                https://orcid.org/0000-0003-2916-0246
                https://orcid.org/0000-0003-0377-7985
                https://orcid.org/0000-0002-8996-760X
                https://orcid.org/0000-0001-8354-3198
                https://orcid.org/0000-0002-3072-0928
                https://orcid.org/0000-0001-7986-7376
                https://orcid.org/0000-0002-5306-8362
                https://orcid.org/0000-0003-4863-8057
                https://orcid.org/0000-0002-7180-4896
                https://orcid.org/0000-0003-4430-8202
                Article
                10.1155/2021/9929805
                8225436
                34222487
                86a00d72-bd3c-4a93-a789-9de63a54d498
                Copyright © 2021 Jéssica C. Andrade et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 7 March 2021
                : 3 June 2021
                Funding
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico
                Funded by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
                Categories
                Research Article

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