2019
DOI: 10.1101/711697
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Targeting tRNA-Synthetase Interactions towards Novel Therapeutic Discovery Against Eukaryotic Pathogens

Abstract: 43The development of chemotherapies against eukaryotic pathogens is especially 44 challenging because of both the evolutionary conservation of drug targets between host 45 and parasite, and the evolution of strain-dependent drug resistance. There is a strong 46 need for new nontoxic drugs with broad-spectrum activity against trypanosome 47 parasites such as Leishmania and Trypanosoma. A relatively untested approach is to 48 target macromolecular interactions in parasites rather than small molecular interact… Show more

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Cited by 4 publications
(11 citation statements)
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“…Furthermore, our tRNA CIF annotations could predict differential susceptibility to inhibition by chemical agents of homologous aminoacyl-tRNA synthetases (aaRSs) from trypanosomes and humans (Kelly et al 2020). We also found that tRNA gene clusters are conserved in trypanosomes and show clear evidence of rapid evolution by duplication, deletion, and rearrangements (Kelly et al 2020) consistent with findings from genome comparisons of diverse eukaryotic groups (Bermudez-Santana et al 2010, Velandia-Huerto et al 2016.…”
Section: Introductionsupporting
confidence: 78%
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“…Furthermore, our tRNA CIF annotations could predict differential susceptibility to inhibition by chemical agents of homologous aminoacyl-tRNA synthetases (aaRSs) from trypanosomes and humans (Kelly et al 2020). We also found that tRNA gene clusters are conserved in trypanosomes and show clear evidence of rapid evolution by duplication, deletion, and rearrangements (Kelly et al 2020) consistent with findings from genome comparisons of diverse eukaryotic groups (Bermudez-Santana et al 2010, Velandia-Huerto et al 2016.…”
Section: Introductionsupporting
confidence: 78%
“…Our approach integrates sequence information across all tRNA functional gene families at once, using statistics on structure-conditioned functional information (Freyhult et al 2006). The relevance of our "information criterion" to predict the tRNA structurefunction map stems from the biophysics of translation, assuming promiscuous interactions across all species of tRNA-binding proteins and tRNAs co-expressed in the same cellular domain or compartment, with association rates that increase proportionally with concentrations (which we estimate for tRNAs by proxy from gene copy numbers, as in the tRNA Adaptation Index, dos Reis et al 2004;Sabi et al 2017) and with aminoacylation probabilities that depend on matching and mis-matching of structural and dynamic (motional) features across all interacting species operating in parallel (Collins-Hed and Ardell 2020). No matter how the phenotypic expression of a given base or base-pair contributes to the classification of tRNAs into substrates and non-substrates by tRNA-binding proteins, whether directly at the binding interface, as a substrate for a critical base modification, or indirectly, by contributing to recognition by base modifying enzymes, through indirect effects on the shape and motion of entire molecules, or via allosteric circuits connecting binding interfaces and active sites in complexes (Sethi et al 2009), the theoretical expectation under selection for translational accuracy is that the genetic bases of those identifying phenotypic traits will become increasingly restricted to the tRNA functional classes that rely on them for their identities (Collins-Hed and Ardell 2020).…”
Section: Introductionmentioning
confidence: 99%
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