A Computer-Aided Approach for the Discovery of D-Peptides as Inhibitors of SARS-CoV-2 Main Protease
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3389/fmolb.2021.816166 http://hdl.handle.net/11449/223492 |
Resumo: | The SARS-CoV-2 main protease, also known as 3-chymotrypsin-like protease (3CLpro), is a cysteine protease responsible for the cleavage of viral polyproteins pp1a and pp1ab, at least, at eleven conserved sites, which leads to the formation of mature nonstructural proteins essential for the replication of the virus. Due to its essential role, numerous studies have been conducted so far, which have confirmed 3CLpro as an attractive drug target to combat Covid-19 and have reported a vast number of inhibitors and their co-crystal structures. Despite all the ongoing efforts, D-peptides, which possess key advantages over L-peptides as therapeutic agents, have not been explored as potential drug candidates against 3CLpro. The current work fills this gap by reporting an in silico approach for the discovery of D-peptides capable of inhibiting 3CLpro that involves structure-based virtual screening (SBVS) of an in-house library of D-tripeptides and D-tetrapeptides into the protease active site and subsequent rescoring steps, including Molecular Mechanics Generalized-Born Surface Area (MM-GBSA) free energy calculations and molecular dynamics (MD) simulations. In vitro enzymatic assays conducted for the four top-scoring D-tetrapeptides at 20 μM showed that all of them caused 55–85% inhibition of 3CLpro activity, thus highlighting the suitability of the devised approach. Overall, our results present a promising computational strategy to identify D-peptides capable of inhibiting 3CLpro, with broader application in problems involving protein inhibition. |
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A Computer-Aided Approach for the Discovery of D-Peptides as Inhibitors of SARS-CoV-2 Main Protease3CLproD-peptidemolecular dynamics simulationSARS-CoV-2virtual screeningThe SARS-CoV-2 main protease, also known as 3-chymotrypsin-like protease (3CLpro), is a cysteine protease responsible for the cleavage of viral polyproteins pp1a and pp1ab, at least, at eleven conserved sites, which leads to the formation of mature nonstructural proteins essential for the replication of the virus. Due to its essential role, numerous studies have been conducted so far, which have confirmed 3CLpro as an attractive drug target to combat Covid-19 and have reported a vast number of inhibitors and their co-crystal structures. Despite all the ongoing efforts, D-peptides, which possess key advantages over L-peptides as therapeutic agents, have not been explored as potential drug candidates against 3CLpro. The current work fills this gap by reporting an in silico approach for the discovery of D-peptides capable of inhibiting 3CLpro that involves structure-based virtual screening (SBVS) of an in-house library of D-tripeptides and D-tetrapeptides into the protease active site and subsequent rescoring steps, including Molecular Mechanics Generalized-Born Surface Area (MM-GBSA) free energy calculations and molecular dynamics (MD) simulations. In vitro enzymatic assays conducted for the four top-scoring D-tetrapeptides at 20 μM showed that all of them caused 55–85% inhibition of 3CLpro activity, thus highlighting the suitability of the devised approach. Overall, our results present a promising computational strategy to identify D-peptides capable of inhibiting 3CLpro, with broader application in problems involving protein inhibition.Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ)Multiuser Center for Biomolecular Innovation IBILCE Universidade Estadual Paulista (UNESP), São Jose do Rio PretoLaboratory for Molecular Modeling and Dynamics Instituto de Biofísica Carlos Chagas Filho Universidade Federal do Rio de Janeiro Cidade Universitária Ilha do FundãoInstitute of Biological Information Processing (IBI-7 Structural Biochemistry) Forschungszentrum JülichInstitut für Physikalische Biologie Heinrich-Heine-Universität Düsseldorf UniversitätsstraßeJuStruct: Jülich Centre for Structural Biology Forschungszentrum JülichMultiuser Center for Biomolecular Innovation IBILCE Universidade Estadual Paulista (UNESP), São Jose do Rio PretoUniversidade Estadual Paulista (UNESP)Universidade Federal do Rio de Janeiro (UFRJ)Forschungszentrum JülichUniversitätsstraßeHernández González, Jorge E. [UNESP]Eberle, Raphael J.Willbold, DieterCoronado, Mônika A.2022-04-28T19:50:56Z2022-04-28T19:50:56Z2022-01-24info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3389/fmolb.2021.816166Frontiers in Molecular Biosciences, v. 8.2296-889Xhttp://hdl.handle.net/11449/22349210.3389/fmolb.2021.8161662-s2.0-85124938065Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengFrontiers in Molecular Biosciencesinfo:eu-repo/semantics/openAccess2022-04-28T19:50:56Zoai:repositorio.unesp.br:11449/223492Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:24:43.073309Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A Computer-Aided Approach for the Discovery of D-Peptides as Inhibitors of SARS-CoV-2 Main Protease |
title |
A Computer-Aided Approach for the Discovery of D-Peptides as Inhibitors of SARS-CoV-2 Main Protease |
spellingShingle |
A Computer-Aided Approach for the Discovery of D-Peptides as Inhibitors of SARS-CoV-2 Main Protease Hernández González, Jorge E. [UNESP] 3CLpro D-peptide molecular dynamics simulation SARS-CoV-2 virtual screening |
title_short |
A Computer-Aided Approach for the Discovery of D-Peptides as Inhibitors of SARS-CoV-2 Main Protease |
title_full |
A Computer-Aided Approach for the Discovery of D-Peptides as Inhibitors of SARS-CoV-2 Main Protease |
title_fullStr |
A Computer-Aided Approach for the Discovery of D-Peptides as Inhibitors of SARS-CoV-2 Main Protease |
title_full_unstemmed |
A Computer-Aided Approach for the Discovery of D-Peptides as Inhibitors of SARS-CoV-2 Main Protease |
title_sort |
A Computer-Aided Approach for the Discovery of D-Peptides as Inhibitors of SARS-CoV-2 Main Protease |
author |
Hernández González, Jorge E. [UNESP] |
author_facet |
Hernández González, Jorge E. [UNESP] Eberle, Raphael J. Willbold, Dieter Coronado, Mônika A. |
author_role |
author |
author2 |
Eberle, Raphael J. Willbold, Dieter Coronado, Mônika A. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Universidade Federal do Rio de Janeiro (UFRJ) Forschungszentrum Jülich Universitätsstraße |
dc.contributor.author.fl_str_mv |
Hernández González, Jorge E. [UNESP] Eberle, Raphael J. Willbold, Dieter Coronado, Mônika A. |
dc.subject.por.fl_str_mv |
3CLpro D-peptide molecular dynamics simulation SARS-CoV-2 virtual screening |
topic |
3CLpro D-peptide molecular dynamics simulation SARS-CoV-2 virtual screening |
description |
The SARS-CoV-2 main protease, also known as 3-chymotrypsin-like protease (3CLpro), is a cysteine protease responsible for the cleavage of viral polyproteins pp1a and pp1ab, at least, at eleven conserved sites, which leads to the formation of mature nonstructural proteins essential for the replication of the virus. Due to its essential role, numerous studies have been conducted so far, which have confirmed 3CLpro as an attractive drug target to combat Covid-19 and have reported a vast number of inhibitors and their co-crystal structures. Despite all the ongoing efforts, D-peptides, which possess key advantages over L-peptides as therapeutic agents, have not been explored as potential drug candidates against 3CLpro. The current work fills this gap by reporting an in silico approach for the discovery of D-peptides capable of inhibiting 3CLpro that involves structure-based virtual screening (SBVS) of an in-house library of D-tripeptides and D-tetrapeptides into the protease active site and subsequent rescoring steps, including Molecular Mechanics Generalized-Born Surface Area (MM-GBSA) free energy calculations and molecular dynamics (MD) simulations. In vitro enzymatic assays conducted for the four top-scoring D-tetrapeptides at 20 μM showed that all of them caused 55–85% inhibition of 3CLpro activity, thus highlighting the suitability of the devised approach. Overall, our results present a promising computational strategy to identify D-peptides capable of inhibiting 3CLpro, with broader application in problems involving protein inhibition. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-28T19:50:56Z 2022-04-28T19:50:56Z 2022-01-24 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3389/fmolb.2021.816166 Frontiers in Molecular Biosciences, v. 8. 2296-889X http://hdl.handle.net/11449/223492 10.3389/fmolb.2021.816166 2-s2.0-85124938065 |
url |
http://dx.doi.org/10.3389/fmolb.2021.816166 http://hdl.handle.net/11449/223492 |
identifier_str_mv |
Frontiers in Molecular Biosciences, v. 8. 2296-889X 10.3389/fmolb.2021.816166 2-s2.0-85124938065 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Frontiers in Molecular Biosciences |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808129517900791808 |