This project evaluates whether PLGA nanoparticle encapsulation efficiency can be predicted for unseen small-molecule drugs using public formulation data. Drug-grouped validation assesses generalization, while molecular, polymer, and formulation variables are examined for their contribution to model predictions.
machine-learning molecular-descriptors nanoparticle-drug-delivery encapsulation-efficiency nanobiotechnology plga-nanoparticles drug-grouped-validation formulation-parameters
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Updated
Aug 28, 2026 - Jupyter Notebook