Nature biomedical engineeringMar 19, 2026

Using artificial intelligence to design lipid nanoparticles for targeted mRNA delivery by analyzing the shape of charged lipids in living organisms

mRNA Technology Weekly Brief ↗PubMed ↗DOI ↗

Updated Jun 28, 2026

Abstract

Essence

AI-guided analysis of ionizable lipid shape identified an LNP design that enabled spleen-targeted mRNA delivery and improved vaccine activity in preclinical models.

Evidence

This preclinical platform study combined lipid library experiments, molecular dynamics-derived conformation images, machine learning selection, and animal testing, finding that lipid P1's stable three-tail cone shape promoted IgM corona formation and strong antitumour vaccine responses.

Caveat

The targeting and tumour-suppression results are preclinical and centered on one selected lipid candidate, so human delivery performance and generalizability are not established.

Simplified

Efficient mRNA delivery to specific tissues requires optimized ionizable lipids, yet the role of lipid spatial conformation in organ targeting and endosomal escape remains underexplored. Here we developed a library of lipids with diverse amino heads, degradable linkers and hydrophobic tails, generating distinct three-dimensional conformations. Molecular dynamics simulations revealed the dynamic conformations of these lipids during organic-aqueous phase transitions, and experimental validation confirmed that head and tail arrangements are key determinants of delivery efficiency and organ specificity. To accelerate lipid discovery, dynamic conformation data were converted into 2D density images to train machine learning models for lipid selection. AI-guided candidates, notably lipid P1, adopted stable three-tail cone-shaped conformations that promoted IgM protein corona formation and enabled spleen-targeted mRNA delivery. In preclinical models, P1-based mRNA vaccines triggered strong antibody and T-cell responses, leading to marked tumour suppression. These results highlight the pivotal role of lipid spatial conformation and the potential of AI-driven strategies to optimize lipid nanoparticles for organ-specific mRNA delivery.