MSDAFL: molecular substructure-based dual attention feature learning framework for predicting drug–drug interactions

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Publication Details

Journal
Bioinformatics
Published
2024-10-01
DOI
https://doi.org/10.1093/bioinformatics/btae596
Citations
5
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.81

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article

MSDAFL: molecular substructure-based dual attention feature learning framework for predicting drug–drug interactions

Guihua Duan, Cheng Yan, Chao Hou
5 citations
Bioinformatics
Computational Drug Discovery Methods
1.81
article

MSDAFL: molecular substructure-based dual attention feature learning framework for predicting drug–drug interactions

Guihua Duan, Cheng Yan, Chao Hou
article en
5 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 40(10)
Central South University (CN), Hunan University of Traditional Chinese Medicine (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hainan Province
Good health and well-being
Openalex Percentile: Top 13%
Computational Drug Discovery Methods
1.81
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