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A Transformer-Based Deep Learning Approach with Multi-layer Feature Processing for Accurate Prediction of Protein-DNA Binding Residues.

, , , , и . ICIC (3), том 14088 из Lecture Notes in Computer Science, стр. 556-567. Springer, (2023)

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Prediction of Membrane Protein Interaction Based on Deep Residual Learning., , , , , , и . ICIC (2), том 12464 из Lecture Notes in Computer Science, стр. 103-108. Springer, (2020)MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins., , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (2): 1246-1256 (марта 2023)DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion., , , , , и . ICIC (3), том 12838 из Lecture Notes in Computer Science, стр. 627-633. Springer, (2021)AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism., , , , , , , и . Neural Networks, (января 2024)A Transformer-Based Deep Learning Approach with Multi-layer Feature Processing for Accurate Prediction of Protein-DNA Binding Residues., , , , и . ICIC (3), том 14088 из Lecture Notes in Computer Science, стр. 556-567. Springer, (2023)G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning., , , , , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (6): 3126-3134 (2022)DNA protein binding recognition based on lifelong learning., , , , , , , и . Comput. Biol. Medicine, (сентября 2023)Drug-Target Interaction Prediction Based on Interpretable Graph Transformer Model., , , , и . ICIC (3), том 14088 из Lecture Notes in Computer Science, стр. 676-686. Springer, (2023)Deep Learning-Based Prediction of Drug-Target Binding Affinities by Incorporating Local Structure of Protein., , , , и . ICIC (3), том 14088 из Lecture Notes in Computer Science, стр. 666-675. Springer, (2023)Drug-Target Interaction Prediction Based on Transformer., , , и . ICIC (2), том 13394 из Lecture Notes in Computer Science, стр. 302-309. Springer, (2022)