StructNet-DDI: Molecular Structure Characterization-Based ResNet for Prediction of Drug–Drug Interactions

StructNet-DDI: Molecular Structure Characterization-Based ResNet for Prediction of Drug–Drug Interactions

This study introduces a deep learning framework based on SMILES representations of chemical structures to predict drug–drug interactions (DDIs). The model extracts Morgan fingerprints and key molecular descriptors, transforming them into raw graphical features for input into a modified ResNet18 arch...

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Bibliographic Details
Main Authors: Jihong Wang, Xiaodan Wang, Yuyao Pang
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Molecules
Subjects:
drug–drug interactions
SMILES
chemical structures
fingerprints
ResNet18
Online Access:https://www.mdpi.com/1420-3049/29/20/4829

Internet

https://www.mdpi.com/1420-3049/29/20/4829

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