Dingyan Wang

According to our database, Dingyan Wang authored at least 13 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Application of ensemble learning for predicting GABAA receptor agonists.

Fu Xiao, Xiaoyu Ding, Yan Shi, Dingyan Wang, Yitian Wang, Chen Cui, Tingfei Zhu, Kaixian Chen, Ping Xiang, Xiaomin Luo

Comput. Biol. Medicine, February, 2024

Reducing overconfident errors in molecular property classification using Posterior Network.

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

Patterns, 2024

Gram matrix: an efficient representation of molecular conformation and learning objective for molecular pretraining.

Wenkai Xiang, Feisheng Zhong, Lin Ni, Mingyue Zheng, Xutong Li, Qian Shi, Dingyan Wang

Briefings Bioinform., 2024

2023

Tora3D: an autoregressive torsion angle prediction model for molecular 3D conformation generation.

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

J. Cheminformatics, December, 2023

LogD7.4 prediction enhanced by transferring knowledge from chromatographic retention time, microscopic pKa and logP.

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

J. Cheminformatics, December, 2023

Computing the relative binding affinity of ligands based on a pairwise binding comparison network.

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

Nat. Comput. Sci., 2023

2022

Blood-brain barrier penetration prediction enhanced by uncertainty estimation.

Xiaochu Tong, Dingyan Wang, Xiaoyu Ding, Xiaoqin Tan, Qun Ren, Geng Chen, Yu Rong, Tingyang Xu, Junzhou Huang, Hualiang Jiang, Mingyue Zheng, Xutong Li

J. Cheminformatics, 2022

An inductive graph neural network model for compound-protein interaction prediction based on a homogeneous graph.

Xiaozhe Wan, Xiaolong Wu, Dingyan Wang, Xiaoqin Tan, Xiaohong Liu, Zunyun Fu, Hualiang Jiang, Mingyue Zheng, Xutong Li

Briefings Bioinform., 2022

2021

A hybrid framework for improving uncertainty quantification in deep learning-based QSAR regression modeling.

Dingyan Wang, Jie Yu, Lifan Chen, Xutong Li, Hualiang Jiang, Kaixian Chen, Mingyue Zheng, Xiaomin Luo

J. Cheminformatics, 2021

Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug-drug links based on graph neural network.

Chen Cui, Xiaoyu Ding, Dingyan Wang, Lifan Chen, Fu Xiao, Tingyang Xu, Mingyue Zheng, Xiaomin Luo, Hualiang Jiang, Kaixian Chen

Bioinform., 2021

2020

TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments.

Lifan Chen, Xiaoqin Tan, Dingyan Wang, Feisheng Zhong, Xiaohong Liu, Tianbiao Yang, Xiaomin Luo, Kaixian Chen, Hualiang Jiang, Mingyue Zheng, Arne Elofsson

Bioinform., 2020

2010

Exploit of online social networks with Semi-Supervised Learning.

Mingzhen Mo, Dingyan Wang, Baichuan Li, Dan Hong, Irwin King

Proceedings of the International Joint Conference on Neural Networks, 2010

An Enhanced Semi-supervised Recommendation Model Based on Green's Function.

Dingyan Wang, Irwin King

Proceedings of the Neural Information Processing. Theory and Algorithms, 2010