Multisource Attention-Mechanism-Based Encoder-Decoder Model for Predicting Drug-Drug Interaction Events. - Deng Pan; Lijun Quan; Zhi Jin; Taoning Chen; Xuejiao Wang; Jingxin Xie; Tingfang Wu; Qiang Lyu (J. Chem. Inf. Model., 2022)

TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer. - Taoning Chen; Tingfang Wu; Deng Pan; Jinxing Xie; Jin Zhi; Xuejiao Wang; Lijun Quan; Qiang Lyu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism. - Zhi Jin; Tingfang Wu; Taoning Chen; Deng Pan; Xuejiao Wang; Jingxin Xie; Lijun Quan; Qiang Lyu (Bioinform., 2023)

DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features. - Jingxin Xie; Lijun Quan; Xuejiao Wang; Hongjie Wu; Zhi Jin; Deng Pan; Taoning Chen; Tingfang Wu; Qiang Lyu (J. Chem. Inf. Model., 2023)

RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding. - Xuejiao Wang; Tingfang Wu; Yelu Jiang; Taoning Chen; Deng Pan; Zhi Jin; Jingxin Xie; Lijun Quan; Qiang Lyu (Bioinform., 2024)

MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction. - Junkai Wang; Lijun Quan; Zhi Jin; Hongjie Wu; Xuhao Ma; Xuejiao Wang; Jingxin Xie; Deng Pan; Taoning Chen; Tingfang Wu; Qiang Lyu (IEEE J. Biomed. Health Informatics, 2024)