# AGILE platform: a deep learning powered approach to accelerate LNP development for mRNA delivery

*PRI Rank #1 · Topics and Trends in Most Cited Lipid Membrane Structure and Behavior Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/lipid-membrane-structure-and-behavior/2026/rank-1*

| Field | Value |
| --- | --- |
| Rank | #1 |
| 18m citations | 119 |
| Journal | Nature Communications |
| Year | 2024 |
| DOI | 10.1038/s41467-024-50619-z |
| Corresponding authors | Bo Wang, Bowen Li |
| Institution | University of Toronto, Canada |

**Ranking page:** [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)

**Paper link:** [10.1038/s41467-024-50619-z](https://doi.org/10.1038/s41467-024-50619-z)

## 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

## Cite this ranking

```
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 2026-10-28.

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
```