Protein-coding gene interaction network prediction of bioactive plant compound action against SARS-CoV-2: a novel hypothesis using bioinformatics analysis
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 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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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 |
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Anais da Academia Brasileira de Ciências |
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info:eu-repo/semantics/openAccess |
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openAccess |
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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 |
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Universidade Federal de Minas Gerais |
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