Deep Learning for Identifying Promising Drug Candidates in Drug–Phospholipid Complexes

Deep Learning for Identifying Promising Drug Candidates in Drug–Phospholipid Complexes

Drug–phospholipid complexing is a promising formulation technology for improving the low bioavailability of active pharmaceutical ingredients (APIs). However, identifying whether phospholipid and candidate drug can form a complex through in vitro tests can be costly and time-consuming due to the phy...

Full description

Bibliographic Details
Main Authors: Soyoung Yoo, Hanbyul Lee, Junghyun Kim
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Molecules
Subjects:
deep learning
drug discovery
drug–phospholipid complex
variational autoencoder
principal component analysis
convolutional neural network
Online Access:https://www.mdpi.com/1420-3049/28/12/4821

Similar Items

Similar Items