IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug–Target Interaction Prediction

Yuanyuan Zhang; Qihao Wang; Chunmei Zhang; Baoming Feng; Junliang Shang; Li Zhang

doi:10.1007/s12539-025-00712-8

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IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug–Target Interaction Prediction

Yuanyuan Zhang Qihao Wang Chunmei Zhang Baoming Feng Junliang Shang Li Zhang

Year: 2025 Journal: Interdisciplinary Sciences Computational Life Sciences Publisher: Springer Science+Business Media

DOI: 10.1007/s12539-025-00712-8

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Keywords:

Computational Science and Engineering Feature (linguistics) Artificial intelligence Computer science Pattern recognition (psychology) Artificial neural network Fusion Machine learning

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Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Metabolomics and Mass Spectrometry Studies

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

Machine Learning in Materials Science

Physical Sciences → Materials Science → Materials Chemistry

IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug–Target Interaction Prediction

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