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Evolution of drug-binding residues in eukaryotic ribosomes

Lookup NU author(s): Lewis Chan, Chinenye Ekemezie, Charlotte Brown, Karla Helena Bueno, Dr Tom Williams, Dr Sergey MelnikovORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2025 The Authors. Drugs that target eukaryotic ribosomes are becoming increasingly important as research tools and potential therapies against cancer and pathogenic eukaryotes. However, in the absence of comparative studies, we currently do not know how many eukaryotes possess ribosomal drug-binding sites identical to those in humans and how many significantly differ from those in humans. To address this, we traced the evolutionary history of individual ribosomal drug-binding residues from the emergence of eukaryotes to the present day. We found that ribosomal drug-binding sites are divergent across eukaryotic clades, with some of the clades exhibiting more substitutions in their ribosomal drug-binding sites compared to humans than humans do compared to bacteria. Overall, our work provides a resource for understanding the evolutionary divergence of drug-binding sites in eukaryotic ribosomes, which may inform the use of ribosome inhibitors as research tools and lineage-specific drugs against eukaryotic parasites.


Publication metadata

Author(s): Chan LI, Ekemezie CL, Brown CR, Helena-Bueno K, Williams TA, Melnikov SV

Publication type: Article

Publication status: Published

Journal: Cell Reports

Year: 2025

Volume: 44

Issue: 9

Print publication date: 23/09/2025

Online publication date: 11/09/2025

Acceptance date: 12/08/2025

Date deposited: 30/09/2025

ISSN (print): 2639-1856

ISSN (electronic): 2211-1247

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.celrep.2025.116244

DOI: 10.1016/j.celrep.2025.116244

Data Access Statement: Data availability: Further information in support of this work was deposited in FigShare: https://doi.org/10.6084/m9.figshare.27918987.v1. Code availability: The code used in this study to analyze rRNA polymorphism was deposited in FigShare as "Data S6": https://doi.org/10.6084/m9.figshare.27918987.v1. Additional information: Information about natural variation in ribosomal drug-binding residues for individual species is also available through this web interface: https://melnikovlab.com/check-your-species

PubMed id: 40944914


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Funding

Funder referenceFunder name
BBSRC Doctoral Training Program (BB/T008695/1)
MRC Discovery Medicine North Doctoral Training Partnership (MR/N013840/1)
Newcastle University Academic Track Fellowship

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