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dc.contributor.author
Gómez Chávez, José Leonardo  
dc.contributor.author
Conti, German Andres  
dc.contributor.author
Angelina, Emilio Luis  
dc.contributor.author
Peruchena, Nelida Maria  
dc.date.available
2022-09-29T10:20:36Z  
dc.date.issued
2021  
dc.identifier.citation
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  
dc.identifier.uri
http://hdl.handle.net/11336/170856  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Asociación Argentina de Bioinformática y Biología Computacional  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Cribado Virtual  
dc.subject
Chagas Disease  
dc.subject
Etnomedicina  
dc.subject
Docking  
dc.subject.classification
Otras Ciencias Químicas  
dc.subject.classification
Ciencias Químicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Virtual screening of plants extracts with anti-chagasic activity guided by Omics data  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2022-09-22T11:50:24Z  
dc.journal.pagination
1-2  
dc.journal.pais
Argentina  
dc.journal.ciudad
Buenos Aires  
dc.description.fil
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  
dc.description.fil
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  
dc.description.fil
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  
dc.description.fil
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  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://2021.a2b2c.org.ar/Book.pdf  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.coverage
Internacional  
dc.type.subtype
Congreso  
dc.description.nombreEvento
XI Congreso Argentino de Bioinformática y Biología Computacional  
dc.date.evento
2021-11-10  
dc.description.ciudadEvento
Buenos Aires  
dc.description.paisEvento
Argentina  
dc.type.publicacion
Book  
dc.description.institucionOrganizadora
Asociacion Argentina de Bioinformática y Biología Computacional  
dc.source.libro
XI Congreso Argentino de Bioinformática y Biología Computacional  
dc.date.eventoHasta
2021-11-12  
dc.type
Congreso