Heterogeneous Network With Multiview Path Aggregation: Drug–Target Interaction Prediction Study Design

The proposed model shows marked superiority over baseline methods, highlighting the importance of integrating heterogeneous information with biological knowledge in DTI prediction.

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Publication Details

Journal
JMIR Medical Informatics
Published
2025-10-02
DOI
https://doi.org/10.2196/74974
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Heterogeneous Network With Multiview Path Aggregation: Drug–Target Interaction Prediction Study Design

Chao Che, Haochen Zhao, Yunjiong Liu, Kui Yao et al.
JMIR Medical Informatics
Computational Drug Discovery Methods
article

Heterogeneous Network With Multiview Path Aggregation: Drug–Target Interaction Prediction Study Design

Chao Che, Haochen Zhao, Yunjiong Liu, Kui Yao, Lin Tang
article en

Abstract

The proposed model shows marked superiority over baseline methods, highlighting the importance of integrating heterogeneous information with biological knowledge in DTI prediction.

JMIR Medical InformaticsVol. 13
Xiamen University (CN), Dalian University of Technology (CN), Dalian University (CN)
Openalex Percentile: Top 71%
Computational Drug Discovery Methods
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