A cytotoxicity dataset for data-driven design of ionizable lipid nanoparticles

The Lipid Nanoparticle Cytotoxicity Database (LNPCD) compiles 1,413 in vitro cytotoxicity measurements spanning 1,288 unique ionizable lipids from 11 high-throughput studies.

• Why it matters: Designing safe ionizable lipid nanoparticles is difficult because structure, composition, and physicochemical factors interact in complex ways that are hard to model from scattered reports.
• What they did: They computationally generated lipid structures from published libraries, manually verified them, and assembled records linking SMILES, measured viability endpoints, and experimental descriptors like cell line, dose, and cargo type.
• The result: The dataset enables traceable analysis of how ionizable lipid structure and experimental conditions relate to cell viability, and supports building and testing computational models of LNP cytotoxicity.

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