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2020 – today
- 2024
[j11]Wenkai Xiang
, Feisheng Zhong, Lin Ni, Mingyue Zheng, Xutong Li, Qian Shi, Dingyan Wang:
Gram matrix: an efficient representation of molecular conformation and learning objective for molecular pretraining. Briefings Bioinform. 25(4) (2024)- [j10]Fu Xiao, Xiaoyu Ding, Yan Shi, Dingyan Wang, Yitian Wang, Chen Cui, Tingfei Zhu, Kaixian Chen, Ping Xiang, Xiaomin Luo:
Application of ensemble learning for predicting GABAA receptor agonists. Comput. Biol. Medicine 169: 107958 (2024) - [j9]Zhehuan Fan, Jie Yu, Xiang Zhang, Yijie Chen, Shihui Sun, Yuanyuan Zhang, Mingan Chen, Fu Xiao, Wenyong Wu, Xutong Li, Mingyue Zheng, Xiaomin Luo, Dingyan Wang:
Reducing overconfident errors in molecular property classification using Posterior Network. Patterns 5(6): 100991 (2024) - 2023
- [j8]Zimei Zhang, Gang Wang, Rui Li, Lin Ni, Runze Zhang, Kaiyang Cheng, Qun Ren, Xiangtai Kong, Shengkun Ni, Xiaochu Tong, Li Luo, Dingyan Wang, Xiaojie Lu, Mingyue Zheng, Xutong Li:
Tora3D: an autoregressive torsion angle prediction model for molecular 3D conformation generation. J. Cheminformatics 15(1): 57 (2023) - [j7]Yitian Wang, Jiacheng Xiong, Fu Xiao, Wei Zhang, Kaiyang Cheng, Jingxin Rao, Buying Niu, Xiaochu Tong, Ning Qu, Runze Zhang, Dingyan Wang, Kaixian Chen, Xutong Li, Mingyue Zheng:
LogD7.4 prediction enhanced by transferring knowledge from chromatographic retention time, microscopic pKa and logP. J. Cheminformatics 15(1): 76 (2023) - [j6]Jie Yu, Zhaojun Li, Geng Chen, Xiangtai Kong, Jie Hu, Dingyan Wang, Duanhua Cao, Yanbei Li, Ruifeng Huo, Gang Wang, Xiaohong Liu, Hualiang Jiang, Xutong Li, Xiaomin Luo, Mingyue Zheng:
Computing the relative binding affinity of ligands based on a pairwise binding comparison network. Nat. Comput. Sci. 3(10): 860-872 (2023) - 2022
- [j5]Xiaozhe Wan, Xiaolong Wu, Dingyan Wang, Xiaoqin Tan, Xiaohong Liu, Zunyun Fu, Hualiang Jiang, Mingyue Zheng, Xutong Li:
An inductive graph neural network model for compound-protein interaction prediction based on a homogeneous graph. Briefings Bioinform. 23(3) (2022) - [j4]Xiaochu Tong, Dingyan Wang, Xiaoyu Ding, Xiaoqin Tan, Qun Ren, Geng Chen, Yu Rong, Tingyang Xu, Junzhou Huang, Hualiang Jiang, Mingyue Zheng, Xutong Li:
Blood-brain barrier penetration prediction enhanced by uncertainty estimation. J. Cheminformatics 14(1): 44 (2022) - 2021
- [j3]Chen Cui, Xiaoyu Ding, Dingyan Wang, Lifan Chen, Fu Xiao, Tingyang Xu, Mingyue Zheng, Xiaomin Luo, Hualiang Jiang, Kaixian Chen:
Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug-drug links based on graph neural network. Bioinform. 37(18): 2930-2937 (2021) - [j2]Dingyan Wang, Jie Yu, Lifan Chen, Xutong Li, Hualiang Jiang, Kaixian Chen, Mingyue Zheng, Xiaomin Luo:
A hybrid framework for improving uncertainty quantification in deep learning-based QSAR regression modeling. J. Cheminformatics 13(1): 69 (2021) - 2020
- [j1]Lifan Chen, Xiaoqin Tan, Dingyan Wang, Feisheng Zhong, Xiaohong Liu, Tianbiao Yang, Xiaomin Luo, Kaixian Chen, Hualiang Jiang, Mingyue Zheng, Arne Elofsson:
TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments. Bioinform. 36(16): 4406-4414 (2020)
2010 – 2019
- 2010
- [c2]Dingyan Wang, Irwin King:
An Enhanced Semi-supervised Recommendation Model Based on Green's Function. ICONIP (1) 2010: 397-404 - [c1]Mingzhen Mo, Dingyan Wang, Baichuan Li, Dan Hong, Irwin King:
Exploit of online social networks with Semi-Supervised Learning. IJCNN 2010: 1-8
Coauthor Index
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