Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactions

Detalhes bibliográficos
Autor(a) principal: Cuevas, Sergio Alejandro Poveda
Data de Publicação: 2022
Tipo de documento: Tese
Idioma: eng
Título da fonte: Biblioteca Digital de Teses e Dissertações da USP
Texto Completo: https://www.teses.usp.br/teses/disponiveis/95/95131/tde-02052022-223047/
Resumo: The Flavivirus genus is a group with more than 70 virus species generally distributed in tropical zones. Over several years, flaviviruses have been representing a great public health problem, producing thousands of deaths and infections per year. The challenges to improve the diagnostic capacity and other interventions for viruses such as Zika require the comprehension of the physical interactions that occur at the molecular level. As a therapeutic target, the nonstructural protein 1 (NS1) has been a centerpiece since it is shown as an important element in the virulence and survival of the Zika virus. Using Structural Bioinformatics approaches, we aim to understand the molecular properties and mechanisms that occur at different biological interfaces of this viral protein and their relation with virulence. Employing a constant-pH Monte Carlo computational approach and classical molecular dynamics simulations, we described several physicochemical and dynamical-structural properties that have a close relationship with molecular mechanisms where NS1 is a key player. Our results contribute to a general physicochemical understanding of the macromolecular complexation and their vast role in cell biology providing evidence for possible pharmacological interventions.
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spelling Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactionsEstudos de Bionformática Estrutural da proteína não estrutural 1 do vírus Zika e suas interações molecularesBioinformática estruturalBiomolecular complexesComplexos biomolecularesDinâmica molecularElectrostatic interactionsInterações eletrostáticasMolecular dynamicsMonte CarloMonte CarloNS1 proteinProteína NS1Structural bioinformaticsThe Flavivirus genus is a group with more than 70 virus species generally distributed in tropical zones. Over several years, flaviviruses have been representing a great public health problem, producing thousands of deaths and infections per year. The challenges to improve the diagnostic capacity and other interventions for viruses such as Zika require the comprehension of the physical interactions that occur at the molecular level. As a therapeutic target, the nonstructural protein 1 (NS1) has been a centerpiece since it is shown as an important element in the virulence and survival of the Zika virus. Using Structural Bioinformatics approaches, we aim to understand the molecular properties and mechanisms that occur at different biological interfaces of this viral protein and their relation with virulence. Employing a constant-pH Monte Carlo computational approach and classical molecular dynamics simulations, we described several physicochemical and dynamical-structural properties that have a close relationship with molecular mechanisms where NS1 is a key player. Our results contribute to a general physicochemical understanding of the macromolecular complexation and their vast role in cell biology providing evidence for possible pharmacological interventions.O gênero Flavivirus é um grupo com mais de 70 espécies virais, geralmente, distribuídas em zonas tropicais. Durante vários anos, os flavivirus vêm representando um grande problema de saúde pública, produzindo milhares de mortes e infecções anualmente. Os desafios para melhorar a capacidade de diagnóstico e outras intervenções para vírus, tais como o Zika, requerem a compreensão das interações físicas que ocorrem no nível molecular. Como um alvo terapêutico, a proteína não estrutural 1 (NS1) tem sido uma peça central, por ser um elemento importante na virulência e sobrevivência do vírus Zika. Usando abordagens de Bioinformática Estrutural, objetivamos entender as propriedades moleculares e os mecanismos que ocorrem em diferentes interfaces biológicas desta proteína viral e sua relação com a virulência. Empregando uma abordagem computacional através de simulações Monte Carlo a pH-constante e dinâmica molecular, descrevemos várias propriedades físico-químicas e dinâmico-estruturais que têm uma estreita relação com os processos de associação onde NS1 é um participante chave. Nossos resultados contribuem para o entendimento físico-químico geral da complexação macromolecular e seu vasto papel na biologia celular, fornecendo evidências para possíveis aplicações farmacológicas.Biblioteca Digitais de Teses e Dissertações da USPEtchebest, Catherine Jeanne ChantalSilva, Fernando Luis Barroso daCuevas, Sergio Alejandro Poveda2022-03-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfhttps://www.teses.usp.br/teses/disponiveis/95/95131/tde-02052022-223047/reponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USPLiberar o conteúdo para acesso público.info:eu-repo/semantics/openAccesseng2022-05-19T16:00:34Zoai:teses.usp.br:tde-02052022-223047Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212022-05-19T16:00:34Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactions
Estudos de Bionformática Estrutural da proteína não estrutural 1 do vírus Zika e suas interações moleculares
title Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactions
spellingShingle Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactions
Cuevas, Sergio Alejandro Poveda
Bioinformática estrutural
Biomolecular complexes
Complexos biomoleculares
Dinâmica molecular
Electrostatic interactions
Interações eletrostáticas
Molecular dynamics
Monte Carlo
Monte Carlo
NS1 protein
Proteína NS1
Structural bioinformatics
title_short Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactions
title_full Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactions
title_fullStr Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactions
title_full_unstemmed Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactions
title_sort Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactions
author Cuevas, Sergio Alejandro Poveda
author_facet Cuevas, Sergio Alejandro Poveda
author_role author
dc.contributor.none.fl_str_mv Etchebest, Catherine Jeanne Chantal
Silva, Fernando Luis Barroso da
dc.contributor.author.fl_str_mv Cuevas, Sergio Alejandro Poveda
dc.subject.por.fl_str_mv Bioinformática estrutural
Biomolecular complexes
Complexos biomoleculares
Dinâmica molecular
Electrostatic interactions
Interações eletrostáticas
Molecular dynamics
Monte Carlo
Monte Carlo
NS1 protein
Proteína NS1
Structural bioinformatics
topic Bioinformática estrutural
Biomolecular complexes
Complexos biomoleculares
Dinâmica molecular
Electrostatic interactions
Interações eletrostáticas
Molecular dynamics
Monte Carlo
Monte Carlo
NS1 protein
Proteína NS1
Structural bioinformatics
description The Flavivirus genus is a group with more than 70 virus species generally distributed in tropical zones. Over several years, flaviviruses have been representing a great public health problem, producing thousands of deaths and infections per year. The challenges to improve the diagnostic capacity and other interventions for viruses such as Zika require the comprehension of the physical interactions that occur at the molecular level. As a therapeutic target, the nonstructural protein 1 (NS1) has been a centerpiece since it is shown as an important element in the virulence and survival of the Zika virus. Using Structural Bioinformatics approaches, we aim to understand the molecular properties and mechanisms that occur at different biological interfaces of this viral protein and their relation with virulence. Employing a constant-pH Monte Carlo computational approach and classical molecular dynamics simulations, we described several physicochemical and dynamical-structural properties that have a close relationship with molecular mechanisms where NS1 is a key player. Our results contribute to a general physicochemical understanding of the macromolecular complexation and their vast role in cell biology providing evidence for possible pharmacological interventions.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-09
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 https://www.teses.usp.br/teses/disponiveis/95/95131/tde-02052022-223047/
url https://www.teses.usp.br/teses/disponiveis/95/95131/tde-02052022-223047/
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv
dc.rights.driver.fl_str_mv Liberar o conteúdo para acesso público.
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Liberar o conteúdo para acesso público.
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv
dc.publisher.none.fl_str_mv Biblioteca Digitais de Teses e Dissertações da USP
publisher.none.fl_str_mv Biblioteca Digitais de Teses e Dissertações da USP
dc.source.none.fl_str_mv
reponame:Biblioteca Digital de Teses e Dissertações da USP
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Biblioteca Digital de Teses e Dissertações da USP
collection Biblioteca Digital de Teses e Dissertações da USP
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)
repository.mail.fl_str_mv virginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.br
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