Prediction of Drug–Target Interaction Using Dual-Network Integrated Logistic Matrix Factorization and Knowledge Graph Embedding

Prediction of Drug–Target Interaction Using Dual-Network Integrated Logistic Matrix Factorization and Knowledge Graph Embedding

Nowadays, drug–target interactions (DTIs) prediction is a fundamental part of drug repositioning. However, on the one hand, drug–target interactions prediction models usually consider drugs or targets information, which ignore prior knowledge between drugs and targets. On the other hand, models inco...

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Bibliographic Details
Main Authors: Jiaxin Li, Xixin Yang, Yuanlin Guan, Zhenkuan Pan
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Molecules
Subjects:
drug–target interactions prediction
knowledge graph embedding
dual-network integrated logistic matrix factorization
Online Access:https://www.mdpi.com/1420-3049/27/16/5131

Internet

https://www.mdpi.com/1420-3049/27/16/5131

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