AGILE platform: a deep learning powered approach to accelerate LNP development for mRNA delivery
#1PRI RANKED
Most Cited Paper
in Lipid Membrane Structure and Behavior
18 Months Post-Publication
Class of 2026
“AGILE platform: a deep learning powered approach to accelerate LNP development for mRNA delivery”
A research intelligence initiative by Pepkio
pri.pepkio.com
Topics
AGILE platform · ionizable lipid nanoparticles · Lipid nanoparticles · Messenger RNA delivery · Deep learning · combinatorial chemistry · Deep learning · in silico lipid screening · ionizable lipid engineering · cell-specific lipid preferences · COVID-19 mRNA vaccines · library design · cell line adaptability · customized LNP development · mRNA therapeutics
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Lipid Membrane Structure and Behavior Papers, Class of 2026. https://pri.pepkio.com/top-papers/lipid-membrane-structure-and-behavior/2026. Accessed 2026-10-24. Methodology 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