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dc.contributor.author
Cavasotto, Claudio Norberto  
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Di Filippo, Juan Ignacio  
dc.date.available
2020-05-04T13:29:12Z  
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2020-04  
dc.identifier.citation
Cavasotto, Claudio Norberto; Di Filippo, Juan Ignacio; In silico Drug Repurposing for COVID-19: Targeting SARS-CoV-2 Proteins through Docking and Quantum Mechanical Scoring; American Chemical Society; ChemRxiv; 4-2020  
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2573-2293  
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http://hdl.handle.net/11336/104110  
dc.description.abstract
In December 2019, an infectious disease caused by the coronavirus SARS-CoV-2 appeared in Wuhan, China. This disease (COVID-19) spread rapidly worldwide, and on March 2020 was declared a pandemic by the World Health Organization (WHO). Today, almost 1,5 million people have been infected, with more than 85,000 casualties. Today, no vaccine nor antiviral drug is available. While the development of a vaccine might take at least a year, and for a novel drug, even longer; finding a new use to an old drug (drug repurposing) could be the most effective strategy. We present a docking-based screening using a quantum mechanical scoring of a library built from approved drugs and compounds undergoing clinical trials, against three SARS-CoV-2 target proteins: the spike or S-protein, and two proteases, the main protease and the papain-like protease. The S-protein binds directly to the Angiotensin Converting Enzyme 2 receptor of the human host cell surface, while the two proteases process viral polyproteins. Following the anaylysis of our structure-based compound screening, we propose several structurally diverse compounds (either FDA-approved or in clinical trials) that could display antiviral activity against SARS-CoV-2. Clearly, these compounds should be further evaluated in experimental assays and clinical trials to confirm their actual activity against the disease. We hope that these findings may contribute to the rational drug design against COVID-19.  
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application/pdf  
dc.language.iso
eng  
dc.publisher
American Chemical Society  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
COVID-19  
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SARS-COV-2  
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QUANTUM SCORING  
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DOCKING  
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Otras Ciencias Químicas  
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Ciencias Químicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
In silico Drug Repurposing for COVID-19: Targeting SARS-CoV-2 Proteins through Docking and Quantum Mechanical Scoring  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
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info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-05-04T13:17:44Z  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Cavasotto, Claudio Norberto. Universidad Austral. Facultad de Ciencias Biomédicas; Argentina. Universidad Austral. Facultad de Ciencias Biomédicas. Instituto de Investigaciones en Medicina Traslacional. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones en Medicina Traslacional; Argentina  
dc.description.fil
Fil: Di Filippo, Juan Ignacio. Universidad Austral. Facultad de Ciencias Biomédicas. Instituto de Investigaciones en Medicina Traslacional. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones en Medicina Traslacional; Argentina  
dc.journal.title
ChemRxiv  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://chemrxiv.org/articles/In_silico_Drug_Repurposing_for_COVID-19_Targeting_SARS-CoV-2_Proteins_through_Docking_and_Quantum_Mechanical_Scoring/12110199  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.26434/chemrxiv.12110199.v1