Omics data integration facilitates target selection for new antiparasitic drugs against TriTryp infections.
Resumen:
Introduction: Trypanosoma cruzi, Trypanosoma brucei, and Leishmania spp., commonly referred to as TriTryps, are a group of protozoan parasites that cause important human diseases affecting millions of people belonging to the most vulnerable populations worldwide. Current treatments have limited efficiencies and can cause serious side effects, so there is an urgent need to develop new control strategies. Presently, the identification and prioritization of appropriate targets can be aided by integrative genomic and computational approaches. Methods: In this work, we conducted a genome-wide multidimensional data integration strategy to prioritize drug targets. We included genomic, transcriptomic, metabolic, and protein structural data sources, to delineate candidate proteins with relevant features for target selection in drug development. Results and Discussion: Our final ranked list includes proteins shared by TriTryps and covers a range of biological functions including essential proteins for parasite survival or growth, oxidative stress-related enzymes, virulence factors, and proteins that are exclusive to these parasites. Our strategy found previously described candidates, which validates our approach as well as new proteins that can be attractive targets to consider during the initial steps of drug discovery
2023 | |
Trypanosomatids Drug discovery Genomics Neglected disease Target selection |
|
Inglés | |
Universidad de la República | |
COLIBRI | |
https://hdl.handle.net/20.500.12008/43273 | |
Acceso abierto | |
Licencia Creative Commons Atribución (CC - By 4.0) |
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author | Rivara-Espasandín, Martín |
author2 | Palumbo, Miranda Clara Sosa, Ezequiel J. Radío, Santiago Turjanski, Adrián G. Sotelo Silveira, José Roberto Fernández Do Porto, Dario Smircich, Pablo |
author2_role | author author author author author author author |
author_facet | Rivara-Espasandín, Martín Palumbo, Miranda Clara Sosa, Ezequiel J. Radío, Santiago Turjanski, Adrián G. Sotelo Silveira, José Roberto Fernández Do Porto, Dario Smircich, Pablo |
author_role | author |
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collection | COLIBRI |
dc.contributor.filiacion.none.fl_str_mv | Rivara-Espasandín Martín, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología. Palumbo Miranda Clara Sosa Ezequiel J. Radío Santiago, IIBCE Turjanski Adrián G. Sotelo Silveira José Roberto, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología. Fernández Do Porto Dario Smircich Pablo, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología. |
dc.creator.none.fl_str_mv | Rivara-Espasandín, Martín Palumbo, Miranda Clara Sosa, Ezequiel J. Radío, Santiago Turjanski, Adrián G. Sotelo Silveira, José Roberto Fernández Do Porto, Dario Smircich, Pablo |
dc.date.accessioned.none.fl_str_mv | 2024-04-01T13:38:12Z |
dc.date.available.none.fl_str_mv | 2024-04-01T13:38:12Z |
dc.date.issued.none.fl_str_mv | 2023 |
dc.description.abstract.none.fl_txt_mv | Introduction: Trypanosoma cruzi, Trypanosoma brucei, and Leishmania spp., commonly referred to as TriTryps, are a group of protozoan parasites that cause important human diseases affecting millions of people belonging to the most vulnerable populations worldwide. Current treatments have limited efficiencies and can cause serious side effects, so there is an urgent need to develop new control strategies. Presently, the identification and prioritization of appropriate targets can be aided by integrative genomic and computational approaches. Methods: In this work, we conducted a genome-wide multidimensional data integration strategy to prioritize drug targets. We included genomic, transcriptomic, metabolic, and protein structural data sources, to delineate candidate proteins with relevant features for target selection in drug development. Results and Discussion: Our final ranked list includes proteins shared by TriTryps and covers a range of biological functions including essential proteins for parasite survival or growth, oxidative stress-related enzymes, virulence factors, and proteins that are exclusive to these parasites. Our strategy found previously described candidates, which validates our approach as well as new proteins that can be attractive targets to consider during the initial steps of drug discovery |
dc.format.extent.es.fl_str_mv | 10 h. |
dc.format.mimetype.es.fl_str_mv | application/pdf |
dc.identifier.citation.es.fl_str_mv | Rivara-Espasandín, M, Palumbo, M, Sosa, E y otros. "Omics data integration facilitates target selection for new antiparasitic drugs against TriTryp infections". Frontiers in Pharmacology. [en línea] 2023, 14: 1136321. 10 h. DOI: 10.3389/fphar.2023.1136321. |
dc.identifier.doi.none.fl_str_mv | 10.3389/fphar.2023.1136321 |
dc.identifier.issn.none.fl_str_mv | 1663-9812 |
dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/43273 |
dc.language.iso.none.fl_str_mv | en eng |
dc.publisher.es.fl_str_mv | Frontiers |
dc.relation.ispartof.es.fl_str_mv | Frontiers in Pharmacology, 2023, 14: 1136321. |
dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
dc.subject.es.fl_str_mv | Trypanosomatids Drug discovery Genomics Neglected disease Target selection |
dc.title.none.fl_str_mv | Omics data integration facilitates target selection for new antiparasitic drugs against TriTryp infections. |
dc.type.es.fl_str_mv | Artículo |
dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
description | Introduction: Trypanosoma cruzi, Trypanosoma brucei, and Leishmania spp., commonly referred to as TriTryps, are a group of protozoan parasites that cause important human diseases affecting millions of people belonging to the most vulnerable populations worldwide. Current treatments have limited efficiencies and can cause serious side effects, so there is an urgent need to develop new control strategies. Presently, the identification and prioritization of appropriate targets can be aided by integrative genomic and computational approaches. Methods: In this work, we conducted a genome-wide multidimensional data integration strategy to prioritize drug targets. We included genomic, transcriptomic, metabolic, and protein structural data sources, to delineate candidate proteins with relevant features for target selection in drug development. Results and Discussion: Our final ranked list includes proteins shared by TriTryps and covers a range of biological functions including essential proteins for parasite survival or growth, oxidative stress-related enzymes, virulence factors, and proteins that are exclusive to these parasites. Our strategy found previously described candidates, which validates our approach as well as new proteins that can be attractive targets to consider during the initial steps of drug discovery |
eu_rights_str_mv | openAccess |
format | article |
id | COLIBRI_e41f2f742e2a9969781931bedd41b8e9 |
identifier_str_mv | Rivara-Espasandín, M, Palumbo, M, Sosa, E y otros. "Omics data integration facilitates target selection for new antiparasitic drugs against TriTryp infections". Frontiers in Pharmacology. [en línea] 2023, 14: 1136321. 10 h. DOI: 10.3389/fphar.2023.1136321. 1663-9812 10.3389/fphar.2023.1136321 |
instacron_str | Universidad de la República |
institution | Universidad de la República |
instname_str | Universidad de la República |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/43273 |
publishDate | 2023 |
reponame_str | COLIBRI |
repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
repository.name.fl_str_mv | COLIBRI - Universidad de la República |
repository_id_str | 4771 |
rights_invalid_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
spelling | Rivara-Espasandín Martín, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología.Palumbo Miranda ClaraSosa Ezequiel J.Radío Santiago, IIBCETurjanski Adrián G.Sotelo Silveira José Roberto, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología.Fernández Do Porto DarioSmircich Pablo, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología.2024-04-01T13:38:12Z2024-04-01T13:38:12Z2023Rivara-Espasandín, M, Palumbo, M, Sosa, E y otros. "Omics data integration facilitates target selection for new antiparasitic drugs against TriTryp infections". Frontiers in Pharmacology. [en línea] 2023, 14: 1136321. 10 h. DOI: 10.3389/fphar.2023.1136321.1663-9812https://hdl.handle.net/20.500.12008/4327310.3389/fphar.2023.1136321Introduction: Trypanosoma cruzi, Trypanosoma brucei, and Leishmania spp., commonly referred to as TriTryps, are a group of protozoan parasites that cause important human diseases affecting millions of people belonging to the most vulnerable populations worldwide. Current treatments have limited efficiencies and can cause serious side effects, so there is an urgent need to develop new control strategies. Presently, the identification and prioritization of appropriate targets can be aided by integrative genomic and computational approaches. Methods: In this work, we conducted a genome-wide multidimensional data integration strategy to prioritize drug targets. We included genomic, transcriptomic, metabolic, and protein structural data sources, to delineate candidate proteins with relevant features for target selection in drug development. Results and Discussion: Our final ranked list includes proteins shared by TriTryps and covers a range of biological functions including essential proteins for parasite survival or growth, oxidative stress-related enzymes, virulence factors, and proteins that are exclusive to these parasites. Our strategy found previously described candidates, which validates our approach as well as new proteins that can be attractive targets to consider during the initial steps of drug discoverySubmitted by Pintos Natalia (nataliapintosmvd@gmail.com) on 2024-03-20T14:20:31Z No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.3389.fphar.2023.1136321.pdf: 1077060 bytes, checksum: 0ad4e93a3a43a1b19b943a643bdb0c0c (MD5)Approved for entry into archive by Faget Cecilia (lfaget@fcien.edu.uy) on 2024-04-01T12:25:42Z (GMT) No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.3389.fphar.2023.1136321.pdf: 1077060 bytes, checksum: 0ad4e93a3a43a1b19b943a643bdb0c0c (MD5)Made available in DSpace by Seroubian Mabel (mabel.seroubian@seciu.edu.uy) on 2024-04-01T13:38:12Z (GMT). No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.3389.fphar.2023.1136321.pdf: 1077060 bytes, checksum: 0ad4e93a3a43a1b19b943a643bdb0c0c (MD5) Previous issue date: 202310 h.application/pdfenengFrontiersFrontiers in Pharmacology, 2023, 14: 1136321.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. 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- Universidad de la Repúblicafalse |
spellingShingle | Omics data integration facilitates target selection for new antiparasitic drugs against TriTryp infections. Rivara-Espasandín, Martín Trypanosomatids Drug discovery Genomics Neglected disease Target selection |
status_str | publishedVersion |
title | Omics data integration facilitates target selection for new antiparasitic drugs against TriTryp infections. |
title_full | Omics data integration facilitates target selection for new antiparasitic drugs against TriTryp infections. |
title_fullStr | Omics data integration facilitates target selection for new antiparasitic drugs against TriTryp infections. |
title_full_unstemmed | Omics data integration facilitates target selection for new antiparasitic drugs against TriTryp infections. |
title_short | Omics data integration facilitates target selection for new antiparasitic drugs against TriTryp infections. |
title_sort | Omics data integration facilitates target selection for new antiparasitic drugs against TriTryp infections. |
topic | Trypanosomatids Drug discovery Genomics Neglected disease Target selection |
url | https://hdl.handle.net/20.500.12008/43273 |