MGMA-DTI: Drug target interaction prediction using multi-order gated convolution and multi-attention fusion

Chang Li; Jia Mi; Han Wang; Zhikang Liu; Jiahui Gao; Jing Wan

doi:10.1016/j.compbiolchem.2025.108449

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MGMA-DTI: Drug target interaction prediction using multi-order gated convolution and multi-attention fusion

Chang Li Jia Mi Han Wang Zhikang Liu Jiahui Gao Jing Wan

Year: 2025 Journal: Computational Biology and Chemistry Vol: 118 Pages: 108449-108449 Publisher: Elsevier BV

DOI: 10.1016/j.compbiolchem.2025.108449

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Keywords:

Computer science Convolution (computer science) Fusion Artificial intelligence Order (exchange) Drug target Pattern recognition (psychology) Artificial neural network Medicine Pharmacology

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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

MGMA-DTI: Drug target interaction prediction using multi-order gated convolution and multi-attention fusion

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