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Interpretable AI-guided discovery of degradable ionizable lipids with enhanced hepatic mRNA delivery in vivo

Academic source · Nature Communications

Source published: 2026-10-12

Site published: 2026-11-03 · Updated: 2026-11-03

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What the paper reports

Researchers combined a 520-member degradable lipid library with interpretable machine learning and a 10,920-member virtual design space. Independent mouse experiments identified PA97MD101 as a lead for hepatic mRNA expression, Cre-mediated recombination, and Cas9-based TTR suppression. The study links screening predictions with functional animal validation, without establishing clinical safety or efficacy.

Why this paper is included

Combining interpretable models with independent animal testing may improve lipid selection beyond cell-based screens and guide more efficient formulation discovery.

The interpretation above is analysis, not a conclusion attributed to the original source.

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Prepared through Biotech Assistant’s automated research workflow. Editorial standards and corrections

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