| DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features Y Chu, AC Kaushik, X Wang, W Wang, Y Zhang, X Shan, DR Salahub, ... Briefings in Bioinformatics 22 (1), 451-462, 2021 | 157 | 2021 |
| MDF-SA-DDI: predicting drug–drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism S Lin, Y Wang, L Zhang, Y Chu, Y Liu, Y Fang, M Jiang, Q Wang, B Zhao, ... Briefings in Bioinformatics 23 (1), bbab421, 2022 | 76 | 2022 |
| A transformer-based model to predict peptide–HLA class I binding and optimize mutated peptides for vaccine design DQW Yanyi Chu, Yan Zhang, Qiankun Wang, Yan Zhang, Qiankun Wang, Lingfeng ... Nature Machine Intelligence 4, 300-311, 2022 | 67 | 2022 |
| SPVec: a Word2vec-inspired feature representation method for drug-target interaction prediction YF Zhang, X Wang, AC Kaushik, Y Chu, X Shan, MZ Zhao, Q Xu, DQ Wei Frontiers in chemistry 7, 895, 2020 | 59 | 2020 |
| DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method Y Chu, X Shan, T Chen, M Jiang, Y Wang, Q Wang, DR Salahub, Y Xiong, ... Briefings in bioinformatics 22 (3), bbaa205, 2021 | 57 | 2021 |
| Prediction of CYP450 enzyme–substrate selectivity based on the network-based label space division method X Shan, X Wang, C Li, Y Chu, Y Zhang, YI Xiong, DQ Wei Journal of chemical information and modeling 59 (11), 4577-4586, 2019 | 51 | 2019 |
| MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph Y Chu, X Wang, Q Dai, Y Wang, Q Wang, S Peng, X Wei, J Qiu, ... Briefings in Bioinformatics 22 (6), bbab165, 2021 | 50 | 2021 |
| T4SE-XGB: interpretable sequence-based prediction of type IV secreted effectors using eXtreme gradient boosting algorithm T Chen, X Wang, Y Chu, Y Wang, M Jiang, DQ Wei, Y Xiong Frontiers in microbiology 11, 580382, 2020 | 34 | 2020 |
| De novo molecular design with deep molecular generative models for PPI inhibitors J Wang, Y Chu, J Mao, HN Jeon, H Jin, A Zeb, Y Jang, KH Cho, T Song, ... Briefings in Bioinformatics 23 (4), bbac285, 2022 | 32 | 2022 |
| Accelerated blood clearance of nanoemulsions modified with PEG-cholesterol and PEG-phospholipid derivatives in rats: the effect of PEG-lipid linkages and PEG molecular weights M Liu, Y Chu, H Liu, Y Su, Q Zhang, J Jiao, M Liu, J Ding, M Liu, Y Hu, ... Molecular pharmaceutics 17 (4), 1059-1070, 2019 | 27 | 2019 |
| NeuroPpred-Fuse: an interpretable stacking model for prediction of neuropeptides by fusing sequence information and feature selection methods M Jiang, B Zhao, S Luo, Q Wang, Y Chu, T Chen, X Mao, Y Liu, Y Wang, ... Briefings in Bioinformatics 22 (6), bbab310, 2021 | 23 | 2021 |
| MDA-CF: predicting miRNA-disease associations based on a cascade forest model by fusing multi-source information Q Dai, Y Chu, Z Li, Y Zhao, X Mao, Y Wang, Y Xiong, DQ Wei Computers in Biology and Medicine 136, 104706, 2021 | 23 | 2021 |
| Prediction of blood-brain barrier permeability of compounds by fusing resampling strategies and extreme gradient boosting Z Shi, Y Chu, Y Zhang, Y Wang, DQ Wei IEEE Access 9, 9557-9566, 2020 | 13 | 2020 |
| Predicting drug-target interactions using multi-label learning with community detection method (DTI-MLCD) Y Chu, X Shan, DR Salahub, Y Xiong, DQ Wei bioRxiv, 2020.05. 11.087734, 2020 | 2 | 2020 |
| A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions Y Chu, D Yu, Y Li, K Huang, Y Shen, L Cong, J Zhang, M Wang Nature Machine Intelligence, 1-12, 2024 | 1 | 2024 |
| TEPCAM: Prediction of T‐cell receptor–epitope binding specificity via interpretable deep learning J Chen, B Zhao, S Lin, H Sun, X Mao, M Wang, Y Chu, L Hong, DQ Wei, ... Protein Science 33 (1), e4841, 2024 | 1 | 2024 |
| A Self-attention Graph Convolutional Network for Precision Multi-tumor Early Diagnostics with DNA Methylation Data X Jiang, Z Li, A Mehmood, H Wang, Q Wang, Y Chu, X Mao, J Zhao, ... Interdisciplinary Sciences: Computational Life Sciences 15 (3), 405-418, 2023 | 1 | 2023 |
| Computational prediction of the isoform specificity of cytochrome P450 substrates by an improved bayesian method H Dai, YX Zheng, XQ Shan, YY Chu, W Wang, Y Xiong, DQ Wei | 1 | 2019 |
| DTI-CDF: a CDF model towards the prediction of DTIs based on hybrid features YY Chu, YF Zhang, W Wang, XG Wang, XQ Shan, Y Xiong, DQ Wei | 1 | |
| ReHoGCNES-MDA: prediction of miRNA-disease associations using homogenous graph convolutional networks based on regular graph with random edge sampler Y Zhang, Y Chu, S Lin, Y Xiong, DQ Wei Briefings in Bioinformatics 25 (2), bbae103, 2024 | | 2024 |
Dongqing WeiProfessor of Bioinformatics/Computational Physics/Chemistry, Shanghai Jiaotong UniversityVerified email at sjtu.edu.cn
