Artificial intelligence-driven rational design of ionizable lipids for mRNA delivery
#2PRI RANKED
Most Cited Paper
in RNA Interference and Gene Delivery
18 Months Post-Publication
Class of 2026
“Artificial intelligence-driven rational design of ionizable lipids for mRNA delivery”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/rna-interference-and-gene-delivery/2026/
Topics
Lipid nanoparticles · Ionizable lipids · mRNA delivery · apparent pKa prediction · AI-driven molecular design · In silico screening · DLin-MC3-DMA · SM-102 · structure-activity relationship · High-throughput screening · Lipid design · Delivery efficiency prediction · benzene ring motif · High-throughput screening · COVID-19 vaccines
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Pepkio Research Index (PRI). Topics and Trends in Most Cited RNA Interference and Gene Delivery Papers, Class of 2026. https://pri.pepkio.com/top-papers/rna-interference-and-gene-delivery/2026. Accessed 2026-07-21. 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