Multi-view self-attention for interpretable drug–target interaction prediction

Brighter Agyemang; Weiping Wu; Michael Y. Kpiebaareh; Zhihua Lei; Ebenezer Nanor; Lei Chen

doi:10.1016/j.jbi.2020.103547

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Multi-view self-attention for interpretable drug–target interaction prediction

Brighter Agyemang Weiping Wu Michael Y. Kpiebaareh Zhihua Lei Ebenezer Nanor Lei Chen

Year: 2020 Journal: Journal of Biomedical Informatics Vol: 110 Pages: 103547-103547 Publisher: Elsevier BV

DOI: 10.1016/j.jbi.2020.103547

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Keywords:

Interpretability Computer science Machine learning Artificial intelligence Benchmark (surveying) Representation (politics) Pipeline (software) Drug discovery Process (computing) Feature (linguistics) Bioinformatics

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Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Machine Learning in Materials Science

Physical Sciences → Materials Science → Materials Chemistry

Protein Structure and Dynamics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Multi-view self-attention for interpretable drug–target interaction prediction

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