Potential inhibitors targeting SARS-CoV-2 proteins probed by in silico methods

Detalhes bibliográficos
Autor(a) principal: Castro, Alexandre Alves de
Data de Publicação: 2021
Tipo de documento: Tese
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/46650
Resumo: In late 2019, a new coronavirus was identified as the cause of a set of pneumonia cases in Wuhan, a city in China's Hubei province, later denominated COVID-19, which means coronavirus disease 2019. The virus that causes COVID-19 is called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Important viral enzymes, such as the main protease (Mpro) and RNA polymerase (RdRp) are important therapeutic targets for the treatment of COVID-19. In this sense, this thesis aims to use computational approaches, which can effectively contribute to the discovery and rational development of new therapies, mainly through the drug repositioning. To carry out these works, we used several computational techniques, employing methods of quantum mechanics and molecular mechanics, to evaluate the interaction modes of the compounds in the active site of the molecular targets. Our quinoline oxide nitroderivative compounds showed to be good inhibitors of the viral enzyme Mpro, according to our theoretical results, being promising for further experimental studies. Our results also suggest that the drug combination is effective due to their increased functional properties, providing an innovative way to connect structural changes with electron transfer kinetics. Several repositioned drugs and derivatives were evaluated for their inhibitory properties, whose affinity results suggest that these compounds are potential inhibitors of Mpro and RdRp. Finally, the interaction modes of these drugs were also investigated, as well as the interaction modes of their fragments in the study of metabolism. These studies showed that these drugs can generate metabolite fragments with different reactivity and toxicity.
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spelling Potential inhibitors targeting SARS-CoV-2 proteins probed by in silico methodsPotenciais inibidores direcionados às proteínas do SARS-CoV-2 sondadas por métodos in silicoCOVID-19Sars-CoV-2FarmacologiaQuímica computacionalReposicionamento de fármacosCoronavirusPharmacologyComputational chemistryDrug repositioningQuímicaIn late 2019, a new coronavirus was identified as the cause of a set of pneumonia cases in Wuhan, a city in China's Hubei province, later denominated COVID-19, which means coronavirus disease 2019. The virus that causes COVID-19 is called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Important viral enzymes, such as the main protease (Mpro) and RNA polymerase (RdRp) are important therapeutic targets for the treatment of COVID-19. In this sense, this thesis aims to use computational approaches, which can effectively contribute to the discovery and rational development of new therapies, mainly through the drug repositioning. To carry out these works, we used several computational techniques, employing methods of quantum mechanics and molecular mechanics, to evaluate the interaction modes of the compounds in the active site of the molecular targets. Our quinoline oxide nitroderivative compounds showed to be good inhibitors of the viral enzyme Mpro, according to our theoretical results, being promising for further experimental studies. Our results also suggest that the drug combination is effective due to their increased functional properties, providing an innovative way to connect structural changes with electron transfer kinetics. Several repositioned drugs and derivatives were evaluated for their inhibitory properties, whose affinity results suggest that these compounds are potential inhibitors of Mpro and RdRp. Finally, the interaction modes of these drugs were also investigated, as well as the interaction modes of their fragments in the study of metabolism. These studies showed that these drugs can generate metabolite fragments with different reactivity and toxicity.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)No final de 2019, um novo coronavírus foi identificado como a causa de um conjunto de casos de pneumonia em Wuhan, uma cidade na província de Hubei, na China, sendo posteriormente denominada COVID-19, a qual significa doença de coronavírus 2019. O vírus que causa a COVID-19 é designado por coronavírus 2 da síndrome respiratória aguda grave (SARS-CoV-2). Importantes enzimas virais, tais como a principal protease (Mpro) e a RNA polimerase (RdRp) são importantes alvos terapêuticos para o tratamento da COVID-19. Neste sentido, esta tese tem como objetivo o uso de abordagens computacionais, as quais podem efetivamente contribuir para a descoberta e desenvolvimento racional de novas terapias, principalmente através do reposicionamento de fármacos. Para a realização destes trabalhos, utilizamos diversas técnicas computacionais, empregando métodos da mecânica quântica e mecânica molecular, para avaliar os modos de interação dos compostos no sítio ativo dos alvos moleculares. Nossos compostos nitroderivados do óxido de quinolina mostraram-se bons inibidores da enzima viral Mpro, de acordo com nossos resultados teóricos, sendo promissores para posteriores estudos experimentais. Nossos resultados também sugerem que a combinação de medicamentos é efetiva devido ao aumento de suas propriedades funcionais, fornecendo uma maneira inovadora de conectar mudanças estruturais com a cinética de transferência eletrônica. Diversos fármacos reposicionados e derivados foram avaliados em relação às suas propriedades inibidoras, cujos resultados de afinidade sugerem que estes compostos são potenciais inibidores da Mpro e RdRp. Por fim, os modos de interação destes fármacos também foram investigados, bem como os modos de interação de seus fragmentos no estudo do metabolismo. Estes estudos mostraram que estes fármacos podem gerar fragmentos metabólitos de diferentes reatividades e toxicidade.Universidade Federal de LavrasPrograma de Pós-Graduação em AgroquímicaUFLAbrasilDepartamento de QuímicaCunha, Elaine Fontes Ferreira daRamalho, Teodorico de CastroTeixeira, Mauro MartinsAlmeida, Katia Júlia deLeal, Daniel Henriques SoaresLa Porta, Felipe de AlmeidaCastro, Alexandre Alves de2021-07-05T17:44:55Z2021-07-05T17:44:55Z2021-07-052021-05-31info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfCASTRO, A. A. de. Potential inhibitors targeting SARS-CoV-2 proteins probed by in silico methods. 2021. 249 p. Tese (Doutorado em Agroquímica) – Universidade Federal de Lavras, Lavras, 2021.http://repositorio.ufla.br/jspui/handle/1/46650enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLA2023-05-04T12:23:23Zoai:localhost:1/46650Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-04T12:23:23Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Potential inhibitors targeting SARS-CoV-2 proteins probed by in silico methods
Potenciais inibidores direcionados às proteínas do SARS-CoV-2 sondadas por métodos in silico
title Potential inhibitors targeting SARS-CoV-2 proteins probed by in silico methods
spellingShingle Potential inhibitors targeting SARS-CoV-2 proteins probed by in silico methods
Castro, Alexandre Alves de
COVID-19
Sars-CoV-2
Farmacologia
Química computacional
Reposicionamento de fármacos
Coronavirus
Pharmacology
Computational chemistry
Drug repositioning
Química
title_short Potential inhibitors targeting SARS-CoV-2 proteins probed by in silico methods
title_full Potential inhibitors targeting SARS-CoV-2 proteins probed by in silico methods
title_fullStr Potential inhibitors targeting SARS-CoV-2 proteins probed by in silico methods
title_full_unstemmed Potential inhibitors targeting SARS-CoV-2 proteins probed by in silico methods
title_sort Potential inhibitors targeting SARS-CoV-2 proteins probed by in silico methods
author Castro, Alexandre Alves de
author_facet Castro, Alexandre Alves de
author_role author
dc.contributor.none.fl_str_mv Cunha, Elaine Fontes Ferreira da
Ramalho, Teodorico de Castro
Teixeira, Mauro Martins
Almeida, Katia Júlia de
Leal, Daniel Henriques Soares
La Porta, Felipe de Almeida
dc.contributor.author.fl_str_mv Castro, Alexandre Alves de
dc.subject.por.fl_str_mv COVID-19
Sars-CoV-2
Farmacologia
Química computacional
Reposicionamento de fármacos
Coronavirus
Pharmacology
Computational chemistry
Drug repositioning
Química
topic COVID-19
Sars-CoV-2
Farmacologia
Química computacional
Reposicionamento de fármacos
Coronavirus
Pharmacology
Computational chemistry
Drug repositioning
Química
description In late 2019, a new coronavirus was identified as the cause of a set of pneumonia cases in Wuhan, a city in China's Hubei province, later denominated COVID-19, which means coronavirus disease 2019. The virus that causes COVID-19 is called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Important viral enzymes, such as the main protease (Mpro) and RNA polymerase (RdRp) are important therapeutic targets for the treatment of COVID-19. In this sense, this thesis aims to use computational approaches, which can effectively contribute to the discovery and rational development of new therapies, mainly through the drug repositioning. To carry out these works, we used several computational techniques, employing methods of quantum mechanics and molecular mechanics, to evaluate the interaction modes of the compounds in the active site of the molecular targets. Our quinoline oxide nitroderivative compounds showed to be good inhibitors of the viral enzyme Mpro, according to our theoretical results, being promising for further experimental studies. Our results also suggest that the drug combination is effective due to their increased functional properties, providing an innovative way to connect structural changes with electron transfer kinetics. Several repositioned drugs and derivatives were evaluated for their inhibitory properties, whose affinity results suggest that these compounds are potential inhibitors of Mpro and RdRp. Finally, the interaction modes of these drugs were also investigated, as well as the interaction modes of their fragments in the study of metabolism. These studies showed that these drugs can generate metabolite fragments with different reactivity and toxicity.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-05T17:44:55Z
2021-07-05T17:44:55Z
2021-07-05
2021-05-31
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv CASTRO, A. A. de. Potential inhibitors targeting SARS-CoV-2 proteins probed by in silico methods. 2021. 249 p. Tese (Doutorado em Agroquímica) – Universidade Federal de Lavras, Lavras, 2021.
http://repositorio.ufla.br/jspui/handle/1/46650
identifier_str_mv CASTRO, A. A. de. Potential inhibitors targeting SARS-CoV-2 proteins probed by in silico methods. 2021. 249 p. Tese (Doutorado em Agroquímica) – Universidade Federal de Lavras, Lavras, 2021.
url http://repositorio.ufla.br/jspui/handle/1/46650
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Lavras
Programa de Pós-Graduação em Agroquímica
UFLA
brasil
Departamento de Química
publisher.none.fl_str_mv Universidade Federal de Lavras
Programa de Pós-Graduação em Agroquímica
UFLA
brasil
Departamento de Química
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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