DDI-SSL: Drug–Drug Interaction Prediction Based on Substructure Signature Learning

DDI-SSL: Drug–Drug Interaction Prediction Based on Substructure Signature Learning

Drug–drug interactions (DDIs) are entities composed of different chemical substructures (functional groups). In existing methods that predict drug–drug interactions based on the usage of substructures, each node is perceived as the epicenter of a sub-pattern, and adjacent nodes eventually become cen...

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Bibliographic Details
Main Author: Yuan Liang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Applied Sciences
Subjects:
drug–drug interactions
substructure graph convolution operator
substructure signatures
substructure extraction
collaborative attention mechanism
Online Access:https://www.mdpi.com/2076-3417/13/19/10750

Internet

https://www.mdpi.com/2076-3417/13/19/10750

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