DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug–Target interaction prediction

Peiliang Zhang; Ziqi Wei; Chao Che; Bo Jin

doi:10.1016/j.compbiomed.2022.105214

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DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug–Target interaction prediction

Peiliang Zhang Ziqi Wei Chao Che Bo Jin

Year: 2022 Journal: Computers in Biology and Medicine Vol: 142 Pages: 105214-105214 Publisher: Elsevier BV

DOI: 10.1016/j.compbiomed.2022.105214

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Keywords:

DrugBank Computer science Convolutional neural network Drug target Artificial intelligence Drug discovery Drug repositioning Graph Interaction network chEMBL Drug Machine learning Pattern recognition (psychology) Bioinformatics Chemistry Theoretical computer science Medicine

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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

DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug–Target interaction prediction

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