Year: 2025
Type: article
Abstract: Lipid nanoparticles (LNPs) are essential carriers for genetic medicines, yet optimizing their design remains challenging due to numerous parameters. Computational methods-including molecular dynamics (MD), computational fluid dynamics (CFD), and machine learning (ML)-offer molecular insights and predictive power. This perspective highlights recent advances, ongoing challenges, and the need for multiscale modeling frameworks and standardized experimental datasets to systematically explore LNP design space and improve the efficacy of next-generation formulations.
Source: npj Drug Discovery.
Institution: Purdue University West Lafayette
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,990
Funder: Eli Lilly and Company
OpenAlex ID: W4413867764