TP-DDI: A Two-Pathway Deep Neural Network for Drug–Drug Interaction Prediction

Jiang Xie; Chang Zhao; Jiaming Ouyang; Hongjian He; Dingkai Huang; Mengjiao Liu; Jiao Wang; Wenjun Zhang

doi:10.1007/s12539-022-00524-0

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TP-DDI: A Two-Pathway Deep Neural Network for Drug–Drug Interaction Prediction

Jiang Xie Chang Zhao Jiaming Ouyang Hongjian He Dingkai Huang Mengjiao Liu Jiao Wang Wenjun Zhang

Year: 2022 Journal: Interdisciplinary Sciences Computational Life Sciences Vol: 14 (4)Pages: 895-905 Publisher: Springer Science+Business Media

DOI: 10.1007/s12539-022-00524-0

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Keywords:

Interpretability Computer science Similarity (geometry) Artificial neural network Mechanism (biology) Artificial intelligence Drug Drug-drug interaction Machine learning Topology (electrical circuits) Pharmacology Medicine Mathematics Physics

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Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Biomedical Text Mining and Ontologies

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Metabolomics and Mass Spectrometry Studies

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

TP-DDI: A Two-Pathway Deep Neural Network for Drug–Drug Interaction Prediction

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