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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Hlavní autoři:	Jiaxin Li, Xixin Yang, Yuanlin Guan, Zhenkuan Pan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-08-01
Edice:	Molecules
Témata:	drug–target interactions prediction knowledge graph embedding dual-network integrated logistic matrix factorization
On-line přístup:	https://www.mdpi.com/1420-3049/27/16/5131
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