CAPLA: improved prediction of protein–ligand binding affinity by a deep learning approach based on a cross-attention mechanism Z Jin, T Wu, T Chen, D Pan, X Wang, J Xie, L Quan, Q Lyu Bioinformatics 39 (2), btad049, 2023 | 26 | 2023 |
Contranovo: A contrastive learning approach to enhance de novo peptide sequencing Z Jin, S Xu, X Zhang, T Ling, N Dong, W Ouyang, Z Gao, C Chang, S Sun Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 144-152, 2024 | 8 | 2024 |
Multisource attention-mechanism-based encoder–decoder model for predicting drug–drug interaction events D Pan, L Quan, Z Jin, T Chen, X Wang, J Xie, T Wu, Q Lyu Journal of Chemical Information and Modeling 62 (23), 6258-6270, 2022 | 5 | 2022 |
RPEMHC: improved prediction of MHC–peptide binding affinity by a deep learning approach based on residue–residue pair encoding X Wang, T Wu, Y Jiang, T Chen, D Pan, Z Jin, J Xie, L Quan, Q Lyu Bioinformatics 40 (1), btad785, 2024 | 1 | 2024 |
DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features J Xie, L Quan, X Wang, H Wu, Z Jin, D Pan, T Chen, T Wu, Q Lyu Journal of Chemical Information and Modeling 63 (22), 7258-7271, 2023 | 1 | 2023 |
π-PrimeNovo: An Accurate and Efficient Non-Autoregressive Deep Learning Model for De Novo Peptide Sequencing X Zhang, T Ling, Z Jin, S Xu, Z Gao, B Sun, Z Qiu, N Dong, G Wang, ... bioRxiv, 2024.05. 17.594647, 2024 | | 2024 |
MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction J Wang, L Quan, Z Jin, H Wu, X Ma, X Wang, J Xie, D Pan, T Chen, T Wu, ... IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |
TransRNAm: identifying twelve types of RNA modifications by an interpretable multi-label deep learning model based on Transformer T Chen, T Wu, D Pan, J Xie, J Zhi, X Wang, L Quan, Q Lyu IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023 | | 2023 |