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Functional and computational identification of a rescue mutation near the active site of an mRNA methyltransferase

RNA-based drugs are an emerging class of therapeutics combining the immense potential of DNA gene-therapy with the absence of genome integration-associated risks. While the synthesis of such molecules is feasible, large scale in vitro production of humanised mRNA remains a biochemical and economical...

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Detalles Bibliográficos
Autores principales: Colin, Pierre-Yves, Dalby, Paul A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736282/
https://www.ncbi.nlm.nih.gov/pubmed/33318548
http://dx.doi.org/10.1038/s41598-020-79026-2
Descripción
Sumario:RNA-based drugs are an emerging class of therapeutics combining the immense potential of DNA gene-therapy with the absence of genome integration-associated risks. While the synthesis of such molecules is feasible, large scale in vitro production of humanised mRNA remains a biochemical and economical challenge. Human mRNAs possess two post-transcriptional modifications at their 5′ end: an inverted methylated guanosine and a unique 2′O-methylation on the ribose of the penultimate nucleotide. One strategy to precisely methylate the 2′ oxygen is to use viral mRNA methyltransferases that have evolved to escape the host’s cell immunity response following virus infection. However, these enzymes are ill-adapted to industrial processes and suffer from low turnovers. We have investigated the effects of homologous and orthologous active-site mutations on both stability and transferase activity, and identified new functional motifs in the interaction network surrounding the catalytic lysine. Our findings suggest that despite their low catalytic efficiency, the active-sites of viral mRNA methyltransferases have low mutational plasticity, while mutations in a defined third shell around the active site have strong effects on folding, stability and activity in the variant enzymes, mostly via network-mediated effects.