Título:
Omics data integration facilitates target selection for new antiparasitic drugs against TriTryp infections.
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Autor:
Rivara-Espasandín, Martín
Palumbo, Miranda Clara
Sosa, Ezequiel J.
Radío, Santiago
Turjanski, Adrián G.
Sotelo-Silveira, José Roberto
Fernández Do Porto, Dario
Smircich, Pablo
Palumbo, Miranda Clara
Sosa, Ezequiel J.
Radío, Santiago
Turjanski, Adrián G.
Sotelo-Silveira, José Roberto
Fernández Do Porto, Dario
Smircich, Pablo
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Tipo de documento:
Artículo
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Palabras clave:
Trypanosomatids
Drug discovery
Genomics
Neglected disease
Target selection
Drug discovery
Genomics
Neglected disease
Target selection
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Año de publicación:
2023
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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
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Frontiers
EN:
Frontiers in Pharmacology, 2023, 14: 1136321.
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Citación:
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.
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1663-9812
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Licencia Creative Commons Atribución (CC - By 4.0)
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| 10.3389.fphar.2023.1136321.pdf | — | 1.03 MB | Adobe PDF |