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2020 – today
- 2024
[j19]Zhenxing Wu
, Jianbo Jiang, Fritz W. Lischka, Kai Zhao:
Is the mouse nose a miniature version of a rat nose? A computational comparative study. Comput. Methods Programs Biomed. 254: 108282 (2024)- [j18]Chao Shen, Jianfei Song, Chang-Yu Hsieh, Dong-Sheng Cao, Yu Kang, Wenling Ye, Zhenxing Wu, Jike Wang, Odin Zhang, Xujun Zhang, Hao Zeng, Heng Cai, Yu Chen, Linkang Chen, Hao Luo, Xinda Zhao, Tianye Jian, Tong Chen, Dejun Jiang, Mingyang Wang, Qing Ye, Jialu Wu, Hongyan Du, Hui Shi, Yafeng Deng, Tingjun Hou:
DrugFlow: An AI-Driven One-Stop Platform for Innovative Drug Discovery. J. Chem. Inf. Model. 64(14): 5381-5391 (2024) - [i2]Odin Zhang, Yufei Huang, Shichen Cheng, Mengyao Yu, Xujun Zhang, Haitao Lin, Yundian Zeng, Mingyang Wang, Zhenxing Wu, Huifeng Zhao, Zaixi Zhang, Chenqing Hua, Yu Kang, Sunliang Cui, Peichen Pan, Chang-Yu Hsieh, Tingjun Hou:
Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation. CoRR abs/2404.00014 (2024) - [i1]Jike Wang, Rui Qin, Mingyang Wang, Meijing Fang, Yangyang Zhang, Yuchen Zhu, Qun Su, Qiaolin Gou, Chao Shen, Odin Zhang, Zhenxing Wu, Dejun Jiang, Xujun Zhang, Huifeng Zhao, Xiaozhe Wan, Zhourui Wu, Liwei Liu, Yu Kang, Chang-Yu Hsieh, Tingjun Hou:
Token-Mol 1.0: Tokenized drug design with large language model. CoRR abs/2407.07930 (2024) - 2023
- [j17]Dong Wang, Zhenxing Wu, Chao Shen, Lingjie Bao, Hao Luo, Zhe Wang, Hucheng Yao, De-Xin Kong, Cheng Luo, Tingjun Hou:
Learning with uncertainty to accelerate the discovery of histone lysine-specific demethylase 1A (KDM1A/LSD1) inhibitors. Briefings Bioinform. 24(1) (2023) - [j16]Zhenxing Wu, Jihong Chen, Yitong Li, Yafeng Deng, Haitao Zhao, Chang-Yu Hsieh, Tingjun Hou:
From Black Boxes to Actionable Insights: A Perspective on Explainable Artificial Intelligence for Scientific Discovery. J. Chem. Inf. Model. 63(24): 7617-7627 (2023) - [j15]Zhenxing Wu, Jianbo Jiang, Fritz W. Lischka, Scott J. McGrane, Yael Porat-Mesenco, Kai Zhao:
Domestic cat nose functions as a highly efficient coiled parallel gas chromatograph. PLoS Comput. Biol. 19(6) (2023) - 2022
- [j14]Dejun Jiang, Huiyong Sun, Jike Wang, Chang-Yu Hsieh, Yuquan Li, Zhenxing Wu, Dong-Sheng Cao, Jian Wu, Tingjun Hou:
Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learning. Briefings Bioinform. 23(2) (2022) - [j13]Zhenxing Wu, Dejun Jiang, Jike Wang, Xujun Zhang, Hongyan Du, Lurong Pan, Chang-Yu Hsieh, Dongsheng Cao, Tingjun Hou:
Knowledge-based BERT: a method to extract molecular features like computational chemists. Briefings Bioinform. 23(3) (2022) - [j12]Yuwei Yang, Zhenxing Wu, Xiaojun Yao, Yu Kang, Tingjun Hou, Chang-Yu Hsieh, Huanxiang Liu:
Exploring Low-Toxicity Chemical Space with Deep Learning for Molecular Generation. J. Chem. Inf. Model. 62(13): 3191-3199 (2022) - [j11]Jialu Wu, Junmei Wang, Zhenxing Wu, Shengyu Zhang, Yafeng Deng, Yu Kang, Dong-Sheng Cao, Chang-Yu Hsieh, Tingjun Hou:
ALipSol: An Attention-Driven Mixture-of-Experts Model for Lipophilicity and Solubility Prediction. J. Chem. Inf. Model. 62(23): 5975-5987 (2022) - 2021
- [j10]Zhenxing Wu, Minfeng Zhu, Yu Kang, Elaine Lai-Han Leung, Tailong Lei, Chao Shen, Dejun Jiang, Zhe Wang, Dong-Sheng Cao, Tingjun Hou:
Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets. Briefings Bioinform. 22(4) (2021) - [j9]Zhenxing Wu, Dejun Jiang, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Dong-Sheng Cao, Tingjun Hou:
Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method. Briefings Bioinform. 22(5) (2021) - [j8]Jike Wang, Huiyong Sun, Jiawen Chen, Dejun Jiang, Zhe Wang, Zhenxing Wu, Xi Chen, Dong-Sheng Cao, Tingjun Hou:
DeepChargePredictor: a web server for predicting QM-based atomic charges via state-of-the-art machine-learning algorithms. Bioinform. 37(22): 4255-4257 (2021) - [j7]Zhenxing Wu, Kai Zhao:
Impact of pulsation rate and viscosity on taste perception - Application of a porous medium model for human tongue surface. Comput. Biol. Medicine 134: 104419 (2021) - [j6]Dejun Jiang, Zhenxing Wu, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Zhe Wang, Chao Shen, Dong-Sheng Cao, Jian Wu, Tingjun Hou:
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models. J. Cheminformatics 13(1): 12 (2021) - [j5]Guo-Li Xiong, Zhenxing Wu, Jiacai Yi, Li Fu, Zhi-Jiang Yang, Chang-Yu Hsieh, Mingzhu Yin, Xiangxiang Zeng, Chengkun Wu, Ai-Ping Lu, Xiang Chen, Tingjun Hou, Dong-Sheng Cao:
ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties. Nucleic Acids Res. 49(Webserver-Issue): 5-14 (2021) - [j4]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:
Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning. Nat. Mach. Intell. 3(10): 914-922 (2021) - [j3]Zhenxing Wu, Kai Zhao:
Correction: Taste of time: A porous-medium model for human tongue surface with implications for early taste perception. PLoS Comput. Biol. 17(12) (2021) - 2020
- [j2]Zhenxing Wu, Kai Zhao:
Taste of time: A porous-medium model for human tongue surface with implications for early taste perception. PLoS Comput. Biol. 16(6) (2020)
2010 – 2019
- 2019
- [j1]Zhenxing Wu, Tailong Lei, Chao Shen, Zhe Wang, Dong-Sheng Cao, Tingjun Hou:
ADMET Evaluation in Drug Discovery. 19. Reliable Prediction of Human Cytochrome P450 Inhibition Using Artificial Intelligence Approaches. J. Chem. Inf. Model. 59(11): 4587-4601 (2019) - 2012
- [c2]Dandan Tao, Haoshi Zhang, Zhenxing Wu, Guanglin Li:
Real-time performance of textile electrodes in electromyogram pattern-recognition based prosthesis control. BHI 2012: 487-490 - 2011
- [c1]Chengmei Lin, Guisheng Jie, Zhenxing Wu, Wanzhi Rui:
Design of networked monitoring system of PV grid-connected power plant. EMEIT 2011: 1169-1172
Coauthor Index
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