A Machine Learning Approach for Predicting Caco-2 Cell Permeability in Natural Products from the Biodiversity in Peru.

Victor Acuña-GuzmanMaría E Montoya-AlfaroLuisa P Negrón-BallarteChristian Solis-Calero

Published in: Pharmaceuticals (Basel, Switzerland) (2024)

Our results provide insights into the potential intestinal absorption of natural products in Peru, thus facilitating drug development and pharmaceutical discovery efforts.

Keyphrases

machine learning
single cell
small molecule
cell therapy
high throughput
endothelial cells
quality improvement
mesenchymal stem cells
climate change