Artificial intelligence-guided design of lipid nanoparticles for pulmonary gene therapy.

Ionizable lipids are a key component of lipid nanoparticles, the leading nonviral messenger RNA delivery technology. Here, to advance the identification of ionizable lipids beyond current methods, which rely on experimental screening and/or rational design, we introduce lipid optimization using neural networks, a deep-learning strategy for ionizable lipid design. We created a dataset of >9,000 lipid nanoparticle activity measurements and used it to train a directed message-passing neural network for prediction of nucleic acid delivery with diverse lipid structures.

Accelerating ionizable lipid discovery for mRNA delivery using machine learning and combinatorial chemistry.

To unlock the full promise of messenger (mRNA) therapies, expanding the toolkit of lipid nanoparticles is paramount. However, a pivotal component of lipid nanoparticle development that remains a bottleneck is identifying new ionizable lipids. Here we describe an accelerated approach to discovering effective ionizable lipids for mRNA delivery that combines machine learning with advanced combinatorial chemistry tools.

Combinatorial development of nebulized mRNA delivery formulations for the lungs.

Inhaled delivery of mRNA has the potential to treat a wide variety of diseases. However, nebulized mRNA lipid nanoparticles (LNPs) face several unique challenges including stability during nebulization and penetration through both cellular and extracellular barriers. Here we develop a combinatorial approach addressing these barriers.

Dissolution properties and characterization of halofantrine-2-hydroxypropyl-beta-cyclodextrin binary systems.

Halofantrine (HF) is a poorly water-soluble antimalarial drug with low bioavailability. Complex formation of HF.HCl and 2-hydroxypropyl-beta-cyclodextrin (HP-beta-CD) in aqueous solution and in solid state as well as the possibility of improving the solubility and dissolution rate of the drug though complexation with the cyclodextrin were investigated.

Pharmacokinetics and saliva secretion of paracetamol in healthy male Nigerians.

A preliminary pharmacokinetic study of paracetamol was carried out in Nigerians for whom it is normal to consume paracetamol or its combination during almost any type of symptoms. After a single oral dose of 1000 mg of the drug to eight adult male volunteers, paracetamol was measured in plasma and saliva using high-performance liquid chromatography. The plasma profile showed a biexponential decline after peak absorption.