Protein-coding gene interaction network prediction of bioactive plant compound action against SARS-CoV-2: a novel hypothesis using bioinformatics analysis

Detalhes bibliográficos
Autor(a) principal: Eliane Macedo Sobrinho Santos
Data de Publicação: 2022
Outros Autores: Anna Christina de Almeida, Hércules Otacilio Santos, Ernane Ronie Martins, Francine Souza Alves da Fonseca, Lucyana Conceição Farias, Charles Martins Aguilar, Ulisses Alves Pereira, Nilson Nicolau Junior, Matheus de Souza Gomes, Cintya Neves de Souza, João Matheus de Almeida Ravnjak, Raphael Rodrigues Porto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: https://doi.org/10.1590/0001-3765202220201380
http://hdl.handle.net/1843/59998
https://orcid.org/0000-0002-1576-4957
https://orcid.org/0000-0001-9836-4117
https://orcid.org/0000-0001-5399-9522
https://orcid.org/0000-0001-6139-7206
https://orcid.org/0000-0002-5815-4550
https://orcid.org/0000-0002-5451-140X
https://orcid.org/0000-0002-7180-049X
https://orcid.org/0000-0001-9010-8442
https://orcid.org/0000-0002-7148-5813
https://orcid.org/0000-0001-7352-3089
https://orcid.org/0000-0002-3640-8636
https://orcid.org/0000-0001-5308-682X
https://orcid.org/0000-0003-1603-9615
Resumo: This study aimed to verify the action of bioactive compounds from Brazilian plants on the leader genes involved in the SARS-CoV-2 pathway. The main human genes involved were identified in GeneCards and UNIPROT platforms, and an interaction network between leader genes was established in the STRING database. To design chemo-biology interactome networks and elucidate the interplay between genes related to the disease and bioactive plant compounds, the metasearch engine STITCH 3.1 was used. The analysis revealed that SMAD3 and CASP3 genes are leader genes, suggesting that the mechanism of action of the virus on host cells is associated with the molecular effects of these genes. Furthermore, the bioactive plant compounds, such as ascorbate, benzoquinone, ellagic acid, and resveratrol was identified as a promising adjuvant for the treatment inhibiting CASP3-mediated apoptosis. Bioactive plant compounds were verified as the main pathways enriched with KEGG and related to viral infection, assessments/immune/infections, and cell proliferation, which are potentially used for respiratory viral infections. The best-ranked molecule docked in the CASP3 binding site was rutin, while the SMAD3 binding site was resveratrol. In conclusion, this work identified several bioactive compounds from Brazilian plants showing potential antiviral functions that can directly or indirectly inhibit the new coronavirus.
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spelling 2023-10-25T11:31:41Z2023-10-25T11:31:41Z202294Suppl 3123https://doi.org/10.1590/0001-37652022202013801678-2690http://hdl.handle.net/1843/59998https://orcid.org/0000-0002-1576-4957https://orcid.org/0000-0001-9836-4117https://orcid.org/0000-0001-5399-9522https://orcid.org/0000-0001-6139-7206https://orcid.org/0000-0002-5815-4550https://orcid.org/0000-0002-5451-140Xhttps://orcid.org/0000-0002-7180-049Xhttps://orcid.org/0000-0001-9010-8442https://orcid.org/0000-0002-7148-5813https://orcid.org/0000-0001-7352-3089https://orcid.org/0000-0002-3640-8636https://orcid.org/0000-0001-5308-682Xhttps://orcid.org/0000-0003-1603-9615This study aimed to verify the action of bioactive compounds from Brazilian plants on the leader genes involved in the SARS-CoV-2 pathway. The main human genes involved were identified in GeneCards and UNIPROT platforms, and an interaction network between leader genes was established in the STRING database. To design chemo-biology interactome networks and elucidate the interplay between genes related to the disease and bioactive plant compounds, the metasearch engine STITCH 3.1 was used. The analysis revealed that SMAD3 and CASP3 genes are leader genes, suggesting that the mechanism of action of the virus on host cells is associated with the molecular effects of these genes. Furthermore, the bioactive plant compounds, such as ascorbate, benzoquinone, ellagic acid, and resveratrol was identified as a promising adjuvant for the treatment inhibiting CASP3-mediated apoptosis. Bioactive plant compounds were verified as the main pathways enriched with KEGG and related to viral infection, assessments/immune/infections, and cell proliferation, which are potentially used for respiratory viral infections. The best-ranked molecule docked in the CASP3 binding site was rutin, while the SMAD3 binding site was resveratrol. In conclusion, this work identified several bioactive compounds from Brazilian plants showing potential antiviral functions that can directly or indirectly inhibit the new coronavirus.engUniversidade Federal de Minas GeraisUFMGBrasilICA - INSTITUTO DE CIÊNCIAS AGRÁRIASAnais da Academia Brasileira de CiênciasGenéticaPlantas dos cerradosCoronavirusCOVID-19 (Doença)Plantas medicinaisProtein-coding gene interaction network prediction of bioactive plant compound action against SARS-CoV-2: a novel hypothesis using bioinformatics analysisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleEliane Macedo Sobrinho SantosAnna Christina de AlmeidaHércules Otacilio SantosErnane Ronie MartinsFrancine Souza Alves da FonsecaLucyana Conceição FariasCharles Martins AguilarUlisses Alves PereiraNilson Nicolau JuniorMatheus de Souza GomesCintya Neves de SouzaJoão Matheus de Almeida RavnjakRaphael Rodrigues Portoinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/59998/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALProtein-coding gene interaction network prediction of bioactive plant compound action against sars-cov-2 a novel hypothesis us.pdfProtein-coding gene interaction network prediction of bioactive plant compound action against sars-cov-2 a novel hypothesis us.pdfapplication/pdf6340978https://repositorio.ufmg.br/bitstream/1843/59998/2/Protein-coding%20gene%20interaction%20network%20prediction%20of%20bioactive%20plant%20compound%20action%20against%20sars-cov-2%20a%20novel%20hypothesis%20us.pdf3868f2f776deef0ff5ff3faa72080be6MD521843/599982023-10-25 16:57:10.617oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2023-10-25T19:57:10Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv Protein-coding gene interaction network prediction of bioactive plant compound action against SARS-CoV-2: a novel hypothesis using bioinformatics analysis
title Protein-coding gene interaction network prediction of bioactive plant compound action against SARS-CoV-2: a novel hypothesis using bioinformatics analysis
spellingShingle Protein-coding gene interaction network prediction of bioactive plant compound action against SARS-CoV-2: a novel hypothesis using bioinformatics analysis
Eliane Macedo Sobrinho Santos
Genética
Plantas dos cerrados
Coronavirus
COVID-19 (Doença)
Plantas medicinais
title_short Protein-coding gene interaction network prediction of bioactive plant compound action against SARS-CoV-2: a novel hypothesis using bioinformatics analysis
title_full Protein-coding gene interaction network prediction of bioactive plant compound action against SARS-CoV-2: a novel hypothesis using bioinformatics analysis
title_fullStr Protein-coding gene interaction network prediction of bioactive plant compound action against SARS-CoV-2: a novel hypothesis using bioinformatics analysis
title_full_unstemmed Protein-coding gene interaction network prediction of bioactive plant compound action against SARS-CoV-2: a novel hypothesis using bioinformatics analysis
title_sort Protein-coding gene interaction network prediction of bioactive plant compound action against SARS-CoV-2: a novel hypothesis using bioinformatics analysis
author Eliane Macedo Sobrinho Santos
author_facet Eliane Macedo Sobrinho Santos
Anna Christina de Almeida
Hércules Otacilio Santos
Ernane Ronie Martins
Francine Souza Alves da Fonseca
Lucyana Conceição Farias
Charles Martins Aguilar
Ulisses Alves Pereira
Nilson Nicolau Junior
Matheus de Souza Gomes
Cintya Neves de Souza
João Matheus de Almeida Ravnjak
Raphael Rodrigues Porto
author_role author
author2 Anna Christina de Almeida
Hércules Otacilio Santos
Ernane Ronie Martins
Francine Souza Alves da Fonseca
Lucyana Conceição Farias
Charles Martins Aguilar
Ulisses Alves Pereira
Nilson Nicolau Junior
Matheus de Souza Gomes
Cintya Neves de Souza
João Matheus de Almeida Ravnjak
Raphael Rodrigues Porto
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Eliane Macedo Sobrinho Santos
Anna Christina de Almeida
Hércules Otacilio Santos
Ernane Ronie Martins
Francine Souza Alves da Fonseca
Lucyana Conceição Farias
Charles Martins Aguilar
Ulisses Alves Pereira
Nilson Nicolau Junior
Matheus de Souza Gomes
Cintya Neves de Souza
João Matheus de Almeida Ravnjak
Raphael Rodrigues Porto
dc.subject.other.pt_BR.fl_str_mv Genética
Plantas dos cerrados
Coronavirus
COVID-19 (Doença)
Plantas medicinais
topic Genética
Plantas dos cerrados
Coronavirus
COVID-19 (Doença)
Plantas medicinais
description This study aimed to verify the action of bioactive compounds from Brazilian plants on the leader genes involved in the SARS-CoV-2 pathway. The main human genes involved were identified in GeneCards and UNIPROT platforms, and an interaction network between leader genes was established in the STRING database. To design chemo-biology interactome networks and elucidate the interplay between genes related to the disease and bioactive plant compounds, the metasearch engine STITCH 3.1 was used. The analysis revealed that SMAD3 and CASP3 genes are leader genes, suggesting that the mechanism of action of the virus on host cells is associated with the molecular effects of these genes. Furthermore, the bioactive plant compounds, such as ascorbate, benzoquinone, ellagic acid, and resveratrol was identified as a promising adjuvant for the treatment inhibiting CASP3-mediated apoptosis. Bioactive plant compounds were verified as the main pathways enriched with KEGG and related to viral infection, assessments/immune/infections, and cell proliferation, which are potentially used for respiratory viral infections. The best-ranked molecule docked in the CASP3 binding site was rutin, while the SMAD3 binding site was resveratrol. In conclusion, this work identified several bioactive compounds from Brazilian plants showing potential antiviral functions that can directly or indirectly inhibit the new coronavirus.
publishDate 2022
dc.date.issued.fl_str_mv 2022
dc.date.accessioned.fl_str_mv 2023-10-25T11:31:41Z
dc.date.available.fl_str_mv 2023-10-25T11:31:41Z
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://hdl.handle.net/1843/59998
dc.identifier.doi.pt_BR.fl_str_mv https://doi.org/10.1590/0001-3765202220201380
dc.identifier.issn.pt_BR.fl_str_mv 1678-2690
dc.identifier.orcid.pt_BR.fl_str_mv https://orcid.org/0000-0002-1576-4957
https://orcid.org/0000-0001-9836-4117
https://orcid.org/0000-0001-5399-9522
https://orcid.org/0000-0001-6139-7206
https://orcid.org/0000-0002-5815-4550
https://orcid.org/0000-0002-5451-140X
https://orcid.org/0000-0002-7180-049X
https://orcid.org/0000-0001-9010-8442
https://orcid.org/0000-0002-7148-5813
https://orcid.org/0000-0001-7352-3089
https://orcid.org/0000-0002-3640-8636
https://orcid.org/0000-0001-5308-682X
https://orcid.org/0000-0003-1603-9615
url https://doi.org/10.1590/0001-3765202220201380
http://hdl.handle.net/1843/59998
https://orcid.org/0000-0002-1576-4957
https://orcid.org/0000-0001-9836-4117
https://orcid.org/0000-0001-5399-9522
https://orcid.org/0000-0001-6139-7206
https://orcid.org/0000-0002-5815-4550
https://orcid.org/0000-0002-5451-140X
https://orcid.org/0000-0002-7180-049X
https://orcid.org/0000-0001-9010-8442
https://orcid.org/0000-0002-7148-5813
https://orcid.org/0000-0001-7352-3089
https://orcid.org/0000-0002-3640-8636
https://orcid.org/0000-0001-5308-682X
https://orcid.org/0000-0003-1603-9615
identifier_str_mv 1678-2690
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Anais da Academia Brasileira de Ciências
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.initials.fl_str_mv UFMG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv ICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
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institution UFMG
reponame_str Repositório Institucional da UFMG
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