Optimizing 5’UTRs for mRNA-delivered gene editing using deep learning
Most Cited Paper
in RNA and protein synthesis mechanisms
18 Months Post-Publication
Class of 2026
“Optimizing 5’UTRs for mRNA-delivered gene editing using deep learning”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/rna-and-protein-synthesis-mechanisms/2026/
Topics
5'UTR optimization · mRNA therapeutics · sequence optimization · polysome profiling · translation efficiency · randomized 5'UTR libraries · gradient descent optimization · generative neural networks · megaTAL gene editing enzymes · mRNA-delivered gene editing · cross-cell-type UTR performance · sequence optimization · UTR-cargo specificity · editing efficiency correlation · sequence optimization
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Pepkio Research Index (PRI). Topics and Trends in Most Cited RNA and protein synthesis mechanisms Papers, Class of 2026. https://pri.pepkio.com/top-papers/rna-and-protein-synthesis-mechanisms/2026. Accessed 2026-07-15. Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459