Dongsheng Cao

17 papers A* 2Journal 15
YearRankTypeTitle / Venue / Authors
2026 A* conf
TRACE: Transformation-Aware Graph Refinement for Reaction Condition Prediction.
AAAI
Yujie Chen, Tengfei Ma, Yuansheng Liu, Leyi Wei, Shu Wu, Dongsheng Cao, Yiping Liu, Xiangxiang Zeng
2025 J jnl
CardiOT: Towards Interpretable Drug Cardiotoxicity Prediction Using Optimal Transport and Kolmogorov-Arnold Networks.
IEEE J. Biomed. Health Informatics
Xinyu Zhang, Hao Wang, Zhenya Du, Linlin Zhuo, Xiangzheng Fu, Dongsheng Cao, Boqia Xie, Keqin Li
2025 J jnl
metaCDA: A Novel Framework for CircRNA-Driven Drug Discovery Utilizing Adaptive Aggregation and Meta-Knowledge Learning.
J. Chem. Inf. Model.
Li Peng, Huaping Li, Sisi Yuan, Tao Meng, Yifan Chen, Xiangzheng Fu, Dongsheng Cao
2024 J jnl
Advanced AI-Driven Prediction of Pregnancy-Related Adverse Drug Reactions.
J. Chem. Inf. Model.
Jinfu Peng, Li Fu, Guoping Yang, Dongsheng Cao
2024 J jnl
Attribute-guided prototype network for few-shot molecular property prediction.
Briefings Bioinform.
Linlin Hou, Hongxin Xiang, Xiangxiang Zeng, Dongsheng Cao, Li Zeng, Bosheng Song
2024 J jnl
CPhaMAS: An online platform for pharmacokinetic data analysis based on optimized parameter fitting algorithm.
Comput. Methods Programs Biomed.
Yun Kuang, Dongsheng Cao, Yonghui Zuo, Jinghan Yuan, Feng Lu, Yi Zou, Hong Wang, Dan Jiang, Qi Pei, Guoping Yang
2024 J jnl
Effective drug-target affinity prediction via generative active learning.
Inf. Sci.
Yuansheng Liu, Zhenran Zhou, Xiaofeng Cao, Dongsheng Cao, Xiangxiang Zeng
2024 J jnl
Geometric deep learning for drug discovery.
Expert Syst. Appl.
Mingquan Liu, Chunyan Li, Ruizhe Chen, Dongsheng Cao, Xiangxiang Zeng
2023 J jnl
Deep generative model for drug design from protein target sequence.
J. Cheminformatics
Yangyang Chen, Zixu Wang, Lei Wang, Jianmin Wang, Pengyong Li, Dongsheng Cao, Xiangxiang Zeng, Xiucai Ye, Tetsuya Sakurai
2023 A* conf
GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization.
IJCAI
Xixi Yang, Li Fu, Yafeng Deng, Yuansheng Liu, Dongsheng Cao, Xiangxiang Zeng
2022 J jnl
Comprehensive assessment of deep generative architectures for de novo drug design.
Briefings Bioinform.
Mingyang Wang, Huiyong Sun, Jike Wang, Jinping Pang, Xin Chai, Lei Xu, Honglin Li, Dongsheng Cao, Tingjun Hou
2022 J jnl
DDInter: an online drug-drug interaction database towards improving clinical decision-making and patient safety.
Nucleic Acids Res.
Guo-Li Xiong, Zhi-Jiang Yang, Jiacai Yi, Ningning Wang, Lei Wang, Huimin Zhu, Chengkun Wu, Ai-Ping Lu, Xiang Chen, Shao Liu, Tingjun Hou, Dongsheng Cao
2022 J jnl
Deep learning for drug repurposing: methods, databases, and applications.
CoRR
Xiaoqin Pan, Xuan Lin, Dongsheng Cao, Xiangxiang Zeng, Philip S. Yu, Lifang He, Ruth Nussinov, Feixiong Cheng
2022 J jnl
Knowledge-based BERT: a method to extract molecular features like computational chemists.
Briefings Bioinform.
Zhenxing Wu, Dejun Jiang, Jike Wang, Xujun Zhang, Hongyan Du, Lurong Pan, Chang-Yu Hsieh, Dongsheng Cao, Tingjun Hou
2022 J jnl
fastDRH: a webserver to predict and analyze protein-ligand complexes based on molecular docking and MM/PB(GB)SA computation.
Briefings Bioinform.
Zhe Wang, Hong Pan, Huiyong Sun, Yu Kang, Huanxiang Liu, Dongsheng Cao, Tingjun Hou
2021 J jnl
Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning.
Nat. Mach. Intell.
Jike Wang, Chang-Yu Hsieh, Mingyang Wang, Xiaorui Wang, Zhenxing Wu, Dejun Jiang, Benben Liao, Xujun Zhang, Bo Yang, Qiaojun He, Dongsheng Cao, Xi Chen, Tingjun Hou
2011 J jnl
Toward better QSAR/QSPR modeling: simultaneous outlier detection and variable selection using distribution of model features.
J. Comput. Aided Mol. Des.
Dongsheng Cao, Yizeng Liang, Qingsong Xu, Yifeng Yun, Hongdong Li