Omics data integration facilitates target selection for new antiparasitic drugs against TriTryp infections

组学数据整合有助于针对 TriTryp 感染的新型抗寄生虫药物的靶标选择

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作者:Martin Rivara-Espasandín, Miranda Clara Palumbo, Ezequiel J Sosa, Santiago Radío, Adrián G Turjanski, José Sotelo-Silveira, Dario Fernandez Do Porto, Pablo Smircich

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.

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.

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