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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Xehetasun bibliografikoak

Egile Nagusiak:	Jihong Wang, Xiaodan Wang, Yuyao Pang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2024-10-01
Saila:	Molecules
Gaiak:	drug–drug interactions SMILES chemical structures fingerprints ResNet18
Sarrera elektronikoa:	https://www.mdpi.com/1420-3049/29/20/4829
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