Virtual screening of plants extracts with anti-chagasic activity guided by Omics data

Autores
Gómez Chávez, José Leonardo; Conti, German Andres; Angelina, Emilio Luis; Peruchena, Nelida Maria
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Chagas disease is caused by the protozoan parasite Trypanosoma cruzi and their treatment consists in the use of two nitro heterocyclic compounds that both present high toxicity and low effectiveness during the chronic phase.Cymbopogon citratus extracts have been shown to alleviate the chronic phase symptoms of the disease, reducing amastigote nests and inflammatory infiltrates in the heart tissue of infected mice.In this work we used bioinformatics tools to mine public functional genomics databases along with chemoinformatics tools and molecular docking to understand the action mechanism at the molecular level of C. citratus extract in chagasic cardiomyopathy. The GSE41089 dataset from NCBI GEO contains 14154 genes that were processed for analysis. Genes with log Fold Change > 1 and adjusted p-value < 0.05 were considered over-expressed, resulting in 1465 that met the conditions for further analysis.Functional gene enrichment analysis prioritized Gene Ontology terms associated with innate immune response and the most significatives biological pathways affected were those relationed to release of cytokines. Genes in the top-enriched pathways that are known to be affected by the C. citratus ingredients, were selected as potential protein targets, resulting in 6 candidates.Molecular docking of active plant ingredients were performed on the candidate targets to identify potential inhibitors. Promising results were found particularly for one of the candidate targets, Ptgs2 (prostaglandin-endoperoxide synthase 2). Compounds such as Nerolidol, Farnesol and Oleic Acid show quite similar binding modes and comparable anchoring strength than that of the enzyme substrate. The results show that the combination of omics analysis with molecular docking is a promising strategy to understand the action mechanisms of plants extracts against chagas disease. The information obtained will allow us to search for healthier and less harmful treatments against T. cruzi.
Fil: Gómez Chávez, José Leonardo. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura. Departamento de Química. Laboratorio de Estructura Molecular y Propiedades; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina
Fil: Conti, German Andres. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura. Departamento de Química. Laboratorio de Estructura Molecular y Propiedades; Argentina
Fil: Angelina, Emilio Luis. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura. Departamento de Química. Laboratorio de Estructura Molecular y Propiedades; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina
Fil: Peruchena, Nelida Maria. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura. Departamento de Química. Laboratorio de Estructura Molecular y Propiedades; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina
XI Congreso Argentino de Bioinformática y Biología Computacional
Buenos Aires
Argentina
Asociacion Argentina de Bioinformática y Biología Computacional
Materia
Cribado Virtual
Chagas Disease
Etnomedicina
Docking
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/170856
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Virtual screening of plants extracts with anti-chagasic activity guided by Omics dataGómez Chávez, José LeonardoConti, German AndresAngelina, Emilio LuisPeruchena, Nelida MariaCribado VirtualChagas DiseaseEtnomedicinaDockinghttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Chagas disease is caused by the protozoan parasite Trypanosoma cruzi and their treatment consists in the use of two nitro heterocyclic compounds that both present high toxicity and low effectiveness during the chronic phase.Cymbopogon citratus extracts have been shown to alleviate the chronic phase symptoms of the disease, reducing amastigote nests and inflammatory infiltrates in the heart tissue of infected mice.In this work we used bioinformatics tools to mine public functional genomics databases along with chemoinformatics tools and molecular docking to understand the action mechanism at the molecular level of C. citratus extract in chagasic cardiomyopathy. The GSE41089 dataset from NCBI GEO contains 14154 genes that were processed for analysis. Genes with log Fold Change > 1 and adjusted p-value < 0.05 were considered over-expressed, resulting in 1465 that met the conditions for further analysis.Functional gene enrichment analysis prioritized Gene Ontology terms associated with innate immune response and the most significatives biological pathways affected were those relationed to release of cytokines. Genes in the top-enriched pathways that are known to be affected by the C. citratus ingredients, were selected as potential protein targets, resulting in 6 candidates.Molecular docking of active plant ingredients were performed on the candidate targets to identify potential inhibitors. Promising results were found particularly for one of the candidate targets, Ptgs2 (prostaglandin-endoperoxide synthase 2). Compounds such as Nerolidol, Farnesol and Oleic Acid show quite similar binding modes and comparable anchoring strength than that of the enzyme substrate. The results show that the combination of omics analysis with molecular docking is a promising strategy to understand the action mechanisms of plants extracts against chagas disease. The information obtained will allow us to search for healthier and less harmful treatments against T. cruzi.Fil: Gómez Chávez, José Leonardo. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura. Departamento de Química. Laboratorio de Estructura Molecular y Propiedades; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; ArgentinaFil: Conti, German Andres. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura. Departamento de Química. Laboratorio de Estructura Molecular y Propiedades; ArgentinaFil: Angelina, Emilio Luis. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura. Departamento de Química. Laboratorio de Estructura Molecular y Propiedades; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; ArgentinaFil: Peruchena, Nelida Maria. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura. Departamento de Química. Laboratorio de Estructura Molecular y Propiedades; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; ArgentinaXI Congreso Argentino de Bioinformática y Biología ComputacionalBuenos AiresArgentinaAsociacion Argentina de Bioinformática y Biología ComputacionalAsociación Argentina de Bioinformática y Biología Computacional2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectCongresoBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/170856Virtual screening of plants extracts with anti-chagasic activity guided by Omics data; XI Congreso Argentino de Bioinformática y Biología Computacional; Buenos Aires; Argentina; 2021; 1-2CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://2021.a2b2c.org.ar/Book.pdfInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:47:33Zoai:ri.conicet.gov.ar:11336/170856instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:47:34.108CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Virtual screening of plants extracts with anti-chagasic activity guided by Omics data
title Virtual screening of plants extracts with anti-chagasic activity guided by Omics data
spellingShingle Virtual screening of plants extracts with anti-chagasic activity guided by Omics data
Gómez Chávez, José Leonardo
Cribado Virtual
Chagas Disease
Etnomedicina
Docking
title_short Virtual screening of plants extracts with anti-chagasic activity guided by Omics data
title_full Virtual screening of plants extracts with anti-chagasic activity guided by Omics data
title_fullStr Virtual screening of plants extracts with anti-chagasic activity guided by Omics data
title_full_unstemmed Virtual screening of plants extracts with anti-chagasic activity guided by Omics data
title_sort Virtual screening of plants extracts with anti-chagasic activity guided by Omics data
dc.creator.none.fl_str_mv Gómez Chávez, José Leonardo
Conti, German Andres
Angelina, Emilio Luis
Peruchena, Nelida Maria
author Gómez Chávez, José Leonardo
author_facet Gómez Chávez, José Leonardo
Conti, German Andres
Angelina, Emilio Luis
Peruchena, Nelida Maria
author_role author
author2 Conti, German Andres
Angelina, Emilio Luis
Peruchena, Nelida Maria
author2_role author
author
author
dc.subject.none.fl_str_mv Cribado Virtual
Chagas Disease
Etnomedicina
Docking
topic Cribado Virtual
Chagas Disease
Etnomedicina
Docking
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Chagas disease is caused by the protozoan parasite Trypanosoma cruzi and their treatment consists in the use of two nitro heterocyclic compounds that both present high toxicity and low effectiveness during the chronic phase.Cymbopogon citratus extracts have been shown to alleviate the chronic phase symptoms of the disease, reducing amastigote nests and inflammatory infiltrates in the heart tissue of infected mice.In this work we used bioinformatics tools to mine public functional genomics databases along with chemoinformatics tools and molecular docking to understand the action mechanism at the molecular level of C. citratus extract in chagasic cardiomyopathy. The GSE41089 dataset from NCBI GEO contains 14154 genes that were processed for analysis. Genes with log Fold Change > 1 and adjusted p-value < 0.05 were considered over-expressed, resulting in 1465 that met the conditions for further analysis.Functional gene enrichment analysis prioritized Gene Ontology terms associated with innate immune response and the most significatives biological pathways affected were those relationed to release of cytokines. Genes in the top-enriched pathways that are known to be affected by the C. citratus ingredients, were selected as potential protein targets, resulting in 6 candidates.Molecular docking of active plant ingredients were performed on the candidate targets to identify potential inhibitors. Promising results were found particularly for one of the candidate targets, Ptgs2 (prostaglandin-endoperoxide synthase 2). Compounds such as Nerolidol, Farnesol and Oleic Acid show quite similar binding modes and comparable anchoring strength than that of the enzyme substrate. The results show that the combination of omics analysis with molecular docking is a promising strategy to understand the action mechanisms of plants extracts against chagas disease. The information obtained will allow us to search for healthier and less harmful treatments against T. cruzi.
Fil: Gómez Chávez, José Leonardo. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura. Departamento de Química. Laboratorio de Estructura Molecular y Propiedades; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina
Fil: Conti, German Andres. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura. Departamento de Química. Laboratorio de Estructura Molecular y Propiedades; Argentina
Fil: Angelina, Emilio Luis. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura. Departamento de Química. Laboratorio de Estructura Molecular y Propiedades; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina
Fil: Peruchena, Nelida Maria. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas y Naturales y Agrimensura. Departamento de Química. Laboratorio de Estructura Molecular y Propiedades; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Química Básica y Aplicada del Nordeste Argentino. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Química Básica y Aplicada del Nordeste Argentino; Argentina
XI Congreso Argentino de Bioinformática y Biología Computacional
Buenos Aires
Argentina
Asociacion Argentina de Bioinformática y Biología Computacional
description Chagas disease is caused by the protozoan parasite Trypanosoma cruzi and their treatment consists in the use of two nitro heterocyclic compounds that both present high toxicity and low effectiveness during the chronic phase.Cymbopogon citratus extracts have been shown to alleviate the chronic phase symptoms of the disease, reducing amastigote nests and inflammatory infiltrates in the heart tissue of infected mice.In this work we used bioinformatics tools to mine public functional genomics databases along with chemoinformatics tools and molecular docking to understand the action mechanism at the molecular level of C. citratus extract in chagasic cardiomyopathy. The GSE41089 dataset from NCBI GEO contains 14154 genes that were processed for analysis. Genes with log Fold Change > 1 and adjusted p-value < 0.05 were considered over-expressed, resulting in 1465 that met the conditions for further analysis.Functional gene enrichment analysis prioritized Gene Ontology terms associated with innate immune response and the most significatives biological pathways affected were those relationed to release of cytokines. Genes in the top-enriched pathways that are known to be affected by the C. citratus ingredients, were selected as potential protein targets, resulting in 6 candidates.Molecular docking of active plant ingredients were performed on the candidate targets to identify potential inhibitors. Promising results were found particularly for one of the candidate targets, Ptgs2 (prostaglandin-endoperoxide synthase 2). Compounds such as Nerolidol, Farnesol and Oleic Acid show quite similar binding modes and comparable anchoring strength than that of the enzyme substrate. The results show that the combination of omics analysis with molecular docking is a promising strategy to understand the action mechanisms of plants extracts against chagas disease. The information obtained will allow us to search for healthier and less harmful treatments against T. cruzi.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Congreso
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/170856
Virtual screening of plants extracts with anti-chagasic activity guided by Omics data; XI Congreso Argentino de Bioinformática y Biología Computacional; Buenos Aires; Argentina; 2021; 1-2
CONICET Digital
CONICET
url http://hdl.handle.net/11336/170856
identifier_str_mv Virtual screening of plants extracts with anti-chagasic activity guided by Omics data; XI Congreso Argentino de Bioinformática y Biología Computacional; Buenos Aires; Argentina; 2021; 1-2
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://2021.a2b2c.org.ar/Book.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Asociación Argentina de Bioinformática y Biología Computacional
publisher.none.fl_str_mv Asociación Argentina de Bioinformática y Biología Computacional
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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