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

Background: Peru is one of the most biodiverse countries in the world, which is reflected in its wealth of knowledge about medicinal plants. However, there is a lack of information regarding intestinal absorption and the permeability of natural products. The human colon adenocarcinoma cell line (Cac...

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Main Authors: Victor Acuña-Guzman (Author), María E. Montoya-Alfaro (Author), Luisa P. Negrón-Ballarte (Author), Christian Solis-Calero (Author)
Format: Book
Published: MDPI AG, 2024-06-01T00:00:00Z.
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3rd Floor Main Library

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