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                <text>In the context of the wine industry crisis at the beginning of the XXth century arose between the agents implied in that activity a discussion about its causes and possible solutions. One of the changes propitiated was the renovation of legislation that regulated the agricultural industry. This article analyses the genesis of the new wine law, sanctioned in 1904, number 4363, which regulated the activity until the end of the '30 decade and constituted an advancement in the definition of genuine wine and gave to the State tools more than effective to repress the falsification of wine. However, this reinforced the production of wine in mass and left 'spaces' of control void that were denounced by other sectors related with the agricultural industry.En el marco de la crisis vitivinícola de principios del siglo XX, se generó, entre los agentes implicados en esa actividad, una discusión sobre sus causas y posibles soluciones. Uno de los cambios propiciados fue la renovación de la legislación que regulaba la agroindustria. Este artículo analiza la génesis de la nueva ley de vinos, sancionada en 1904, con el nro. 4363, que reguló la actividad hasta fines de la década de 1930 y constituyó un avance en la definición de vino genuino y otorgó herramientas más eficaces al Estado para reprimir la falsificación del vino. Sin embargo, reforzó el modelo de producción de vino en masa y dejó 'espacios' de control vacíos que fueron denunciados por otros sectores relacionados con la agroindustria.</text>
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                <text>2007</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Agroindústria, Mendoza, VINO, legislación</text>
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                <text>Mundo Agrario</text>
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                <text>Universidad Nacional de La Plata</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Social history and conditions. Social problems. Social reform, Sociology (General)</text>
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                <text>&lt;a href="http://mundoagrario.unlp.edu.ar/article/view/737" target="_blank" rel="noreferrer noopener"&gt;http://mundoagrario.unlp.edu.ar/article/view/737&lt;/a&gt;</text>
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                <text>In search of RdRp and Mpro inhibitors against SARS CoV-2: Molecular docking, molecular dynamic simulations and ADMET analysis.</text>
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                <text>Normi D Gajjar, Tejas M Dhameliya, Gaurang B Shah</text>
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                <text>Corona Virus Disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome coronavirus (SARS CoV-2) has been declared a worldwide pandemic by WHO recently. The complete understanding of the complex genomic structure of SARS CoV-2 has enabled the use of computational tools in search of SARS CoV-2 inhibitors against the multiple proteins responsible for its entry and multiplication in human cells. With this endeavor, 177 natural, anti-viral chemical entities and their derivatives, selected through the critical analysis of the literatures, were studied using pharmacophore screening followed by molecular docking against RNA dependent RNA polymerase and main protease. The identified hits have been subjected to molecular dynamic simulations to study the stability of ligand-protein complexes followed by ADMET analysis and Lipinski filters to confirm their drug likeliness. It has led to an important start point in the drug discovery and development of therapeutic agents against SARS CoV-2.</text>
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                <text>molecular docking, SARS-CoV-2, ACE-angiotensin-converting enzyme, Mpro, RdRp, Natural products, MD simulation, COVID-19 (coronavirus disease 2019), SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), WHO, World health organization, Mpro, main protease, RMSD, root mean square deviation, RMSF, root mean square fluctuation, SASA, solvent accessible surface area, NSP, non-structural protein, RdRp, RNA-dependent RNA polymerase, ADMET, Absorption, Distribution, Metabolism, Excretion and Toxicity, 3CLpro, 3-chymotrypsin-like protease, ASL, Atom specification language, Dscore, Druggability score, EM, Electron microscopy, HB, Hydrogen bond, MD simulation, Molecular dynamic simulation, PLpro, Papain-like protease, RoG, Radius of gyration, SP, Standard precision</text>
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                <text>10.1016/j.molstruc.2021.130488</text>
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              <elementText elementTextId="77797">
                <text>Journal of molecular structure</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>In Search of Wise Management of Medical Resources and Personnel in the Long Combat With Coronavirus</text>
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                <text>Bin Zhang, Yi-ru Hu, Mingqia Wang</text>
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                <text>medical personnel, Personal Protective Equipment (PPE), medical resources, SARS-CoV-2, COVID-19</text>
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                <text>DOI: 10.3389/fsoc.2020.00040</text>
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                <text>Frontiers in Sociology</text>
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                <text>Frontiers Media S.A.</text>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>In silico analysis of SARS-CoV-2 spike glycoprotein and insights into antibody binding</text>
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                <text>Victor Padilla-Sanchez</text>
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                <text>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, China in December 2019. Since then, COVID-19, the disease caused by SARS-CoV-2, has become a rapidly spreading pandemic that has reached most countries in the world. So far, there are no vaccines or therapeutics to fight this virus. Here, I present an in silico analysis of the virus spike glycoprotein (recently determined at atomic resolution) and provide insights into how antibodies against the 2002 virus SARS-CoV might be modified to neutralize SARS-CoV-2. I ran docking experiments with Rosetta Dock to determine which substitutions in the 80R and m396 antibodies might improve the binding of these to SARS-CoV-2 and used molecular visualization and analysis software, including UCSF Chimera and Rosetta Dock, as well as other bioinformatics tools, including SWISS-MODEL. Supercomputers, including Bridges Large, Stampede and Frontera, were used for macromolecular assemblies and large scale analysis and visualization.</text>
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                <text>immunology, SARS-CoV-2, COVID-19, computational bi</text>
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                <text>DOI: 10.3897/rio.6.e55281</text>
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                <text>Pensoft Publishers</text>
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