In silico prediction of siRNA ionizable-lipid nanoparticles In vivo efficacy: Machine learning modeling based on formulation and molecular descriptors

In silico prediction of the in vivo efficacy of siRNA ionizable-lipid nanoparticles is desirable as it can save time and resources dedicated to wet-lab experimentation. This study aims to computationally predict siRNA nanoparticles in vivo efficacy. A data set containing 120 entries was prepared by...

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Autors principals:	Abdelkader A. Metwally, Amira A. Nayel, Rania M. Hathout
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2022-12-01
Col·lecció:	Frontiers in Molecular Biosciences
Matèries:	siRNA ionizable lipids nanoparticles in vivo QSAR machine learning
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fmolb.2022.1042720/full
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