Professor | Tingjun Hou | Asia Growth Partners

	Upload Avatar (500 x 500)
Name	Tingjun Hou
Contact Information	tingjunhou@zju.edu.cn
Language ability	Chinese, English
Province	Zhejiang

Upload Avatar (500 x 500)

Name

Tingjun Hou

Contact Information

tingjunhou@zju.edu.cn

Language ability

Chinese, English

Province

Zhejiang

University/Lab Affiliation and Title	Zhejiang University
Faculty	Pharmaceutical Sciences
Academic Background & Achievements	1992-1997: Bachelor's degree in Chemistry and Molecular Engineering, Peking University 1997-2002: Combined Master's and Ph.D. in Chemistry and Molecular Engineering, Peking University 2002-2004: Postdoctoral Research, Peking University 2004-2008: Postdoctoral Researcher and Project Scientist, University of California, San Diego Published over 400 SCI papers, 30 of which are highly cited H-index of 80 with over 26,000 citations
Work Experience	2009-2012: Distinguished Professor and Doctoral Supervisor, Soochow University 2013-present: Qiushi Distinguished Professor and Doctoral Supervisor, Zhejiang University

University/Lab Affiliation and Title

Zhejiang University

Faculty

Pharmaceutical Sciences

Academic Background & Achievements

1992-1997: Bachelor's degree in Chemistry and Molecular Engineering, Peking University
1997-2002: Combined Master's and Ph.D. in Chemistry and Molecular Engineering, Peking University
2002-2004: Postdoctoral Research, Peking University
2004-2008: Postdoctoral Researcher and Project Scientist, University of California, San Diego
Published over 400 SCI papers, 30 of which are highly cited
H-index of 80 with over 26,000 citations

Work Experience

2009-2012: Distinguished Professor and Doctoral Supervisor, Soochow University
2013-present: Qiushi Distinguished Professor and Doctoral Supervisor, Zhejiang University

Areas of Focus	Drug Design Molecular Simulation Cheminformatics Bioinformatics Computational Biology
Publications	OptADMET: an open substructure modification guiding workspace for multiple ADMET property optimization, Jiacai Yi, Shaohua Shi, Li Fu, Ziyi Yang, Peifei Nie, Aiping Lu, Chengkun Wu, Yafeng Deng, Changyu Hsieh, Xiangxiang Zeng, Tingjun Hou, Dongsheng Cao, 2023 Learning on topological surface and geometric structure for 3D molecular generation, Odin Zhang, Tianyue Wang, Gaoqi Weng, Dejun Jiang, Ning Wang, Xiaorui Wang, Huifeng Zhao, Jialu Wu, Ercheng Wang, Guangyong Chen, Yafeng Deng, Peichen Pan, Yu Kang, Chang-Yu Hsieh, Tingjun Hou, 2023 AI-powered structure-based drug design inspired by the lock-and-key model, Odin Zhang, Guangyong Chen, Tingjun Hou, 2023 Efficient and accurate large library ligand docking with KarmaDock, Xujun Zhang, Odin Zhang, Chao Shen, Wanglin Qu, Shicheng Chen, Hanqun Cao, Yu Kang, Zhe Wang, Ercheng Wang, Jintu Zhang, Yafeng Deng, Furui Liu, Tianyue Wang, Hongyan Du, Langcheng Wang, Peichen Pan, Guangyong Chen, Chang-Yu Hsieh, Tingjun Hou, 2023 ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling, Odin Zhang, Jintu Zhang, Jieyu Jin, Xujun Zhang, RenLing Hu, Chao Shen, Hanqun Cao, Hongyan Du, Yu Kang, Yafeng Deng, Furui Liu, Guangyong Chen, Chang-Yu Hsieh, Tingjun Hou, 2023 Substructure Mask Explanation (SME): an intuitive graph neural network explanation approach for mining structure-activity information from molecular property prediction models, Zhenxing Wu, Jike Wang, Hongyan Du, Dejun Jiang, Yu Kang, Dan Li, Peichen Pan, Yafeng Deng, Dongsheng Cao, Chang-Yu Hsieh, Tingjun Hou, 2023 Small-Molecule Inhibition of Androgen Receptor Dimerization as a Strategy against Prostate Cancer, Weitao Fu, Hao Yang, Chenxian Hu, Jianing Liao, Zhou Gong, Minkui Zhang, Shuai Yang, Shangxiang Ye, Yixuan Lei, Rong Sheng, Zhiguo Zhang, Xiaojun Yao, Chun Tang, Dan Li, Tingjun Hou, 2023 Integrating multi-modal deep learning on knowledge graph for the discovery of synergistic drug combinations against infectious diseases, Qing Ye, Ruolan Xu, Dan Li, Yu Kang, Yafeng Deng, Feng Zhu, Jiming Chen, Shibo He, Chang-Yu Hsieh, Tingjun Hou, 2023 A Flexible Data-Free Framework for Structure-Based De Novo Drug Design with Reinforcement Learning, Hongyan Du, Dejun Jiang, Odin Zhang, Zhenxing Wu, Junbo Gao, Xujun Zhang, Xiaorui Wang, Yafeng Deng, Yu Kang, Dan Li, Peichen Pan, Chang-Yu Hsieh, Tingjun Hou, 2023 How Good Are Current Docking Programs at Nucleic Acid-Ligand Docking? A Comprehensive Evaluation, Dejun Jiang, Huifeng Zhao, Hongyan Du, Yafeng Deng, Zhenxing Wu, Jike Wang, Yundian Zeng, Haotian Zhang, Xiaorui Wang, Jian Wu, Chang-Yu Hsieh, Tingjun Hou, 2023 FFLOM: A Flow-Based Autoregressive Model for Fragment-to-Lead Optimization, Jieyu Jin, Dong Wang, Guqin Shi, Jingxiao Bao, Jike Wang, Haotian Zhang, Peichen Pan, Dan Li, Xiaojun Yao, Huanxiang Liu, Tingjun Hou, Yu Kang, 2023 A generalized protein-ligand scoring framework with balanced scoring, docking, ranking and screening powers, Chao Shen, Xujun Zhang, Chang-Yu Hsieh, Yafeng Deng, Dong Wang, Lei Xu, Jian Wu, Dan Li, Yu Kang, Tingjun Hou, Peichen Pan, 2023 Matched Molecular Pair Analysis in Drug Discovery: Methods and Recent Applications, Ziyi Yang, Shaohua Shi, Li Fu, Aiping Lu, Tingjun Hou, Dongsheng Cao, 2023 MetalProGNet: A Structure-based Deep Graph Model for Metalloprotein-Ligand Interaction Predictions, Dejun Jiang, Zhaofeng Ye, Chang-Yu Hsieh, Zhiyi Yang, Xujun Zhang, Yu Kang, Hongyan Du, Zhenxing Wu, Jike Wang, Yundian Zeng, Haotian Zhang, Xiaorui Wang, Mingyang Wang, Xiaojun Yao, Shengyu Zhang, Jian Wu, Tingjun Hou, 2023 SDEGen: Learning to Evolve Molecular Conformations from Thermodynamic Noise for Conformation Generation, Haotian Zhang, Shengming Li, Jintu Zhang, Jike Wang, Dejun Jiang, Zhiwen Bian, Yixue Zhang, Yafeng Deng, Jianfei Song, Yu Kang, Tingjun Hou, 2023 PROTAC-DB 2.0: an updated database of PROTACs, Gaoqi Weng, Xuanyan Cai, Dongsheng Cao, Hongyan Du, Chao Shen, Yafeng Deng, Qiaojun He, Bo Yang, Dan Li, Tingjun Hou, 2023 MF-SuP-pKa: Multi-fidelity modeling with subgraph pooling mechanism for pKa prediction, Jialu Wu, Yue Wan, Zhenxing Wu, Shengyu Zhang, Dongsheng Cao, Chang-Yu Hsieh, Tingjun Hou, 2023 Discovery and Optimization of N-acyl-6-sulfonamide-tetrahydroquinoline Derivatives as Novel Non-steroidal Selective Glucocorticoid Receptor Modulators, Dan Lia, Xiaodong Bao, Jinping Pang, Xueping Hu, Longling Wang, Jiajia Wang, Zhaoxu Yang, Lei Xu, Siyu Wang, Qinjie Weng, Sunliang Cui, Tingjun Hou, 2022 ChemistGA: A Chemical Synthesizable Accessible Molecular Generation Algorithm for Real-World Drug Discovery, Jike Wang, Xiaorui Wang, Huiyong Sun, Mingyang Wang, Yundian Zeng, Dejun Jiang, Zhenxing Wu, Zeyi Liu, Ben Liao, Xiaojun Yao, Chang-Yu Hsieh, Dongsheng Cao, Xi Chen, Tingjun Hou, 2022 Boosting Protein-Ligand Binding Pose Prediction and Virtual Screening Based on Residue-Atom Distance Likelihood Potential and Graph Transformer, Chao Shen, Xujun Zhang, Yafeng Deng, Junbo Gao, Dong Wang, Lei Xu, Peichen Pan, Tingjun Hou, Yu Kang, 2022 RELATION: A Deep Generative Model for Structure-Based De Novo Drug Design, Mingyang Wang, Chang-Yu Hsieh, Jike Wang, Dong Wang, Gaoqi Weng, Chao Shen, Xiaojun Yao, Zhitong Bing, Honglin Li, Dongsheng Cao, Tingjun Hou, 2022 TocoDecoy: A New Approach to Design Unbiased Datasets for Training and Benchmarking Machine-Learning Scoring Functions, Xujun Zhang, Chao Shen, Ben Liao, Dejun Jiang, Jike Wang, Zhenxing Wu, Hongyan Du, Tianyue Wang, Wenbo Huo, Lei Xu, Dongsheng Cao, Chang-Yu Hsieh, Tingjun Hou, 2022 High-throughput glycolytic inhibitor discovery targeting glioblastoma by graphite dots-assisted LDI mass spectrometry, Rui Shi, Peichen Pan, Rui Lv, Chongqing Ma, Enhui Wu, Ruochen Guo, Zhihao Zhao, Hexing Song, Joe Zhou, Yang Liu, Guoqiang Xu, Tingjun Hou, Zhenhui Kang, Jian Liu, 2022 Discovery of N-(4-(Benzyloxy)-phenyl)-sulfonamide Derivatives as Novel antagonists of the human androgen receptor targeting the activation function 2, Xin Chai, Huiyong Sun, Wenfang Zhou, Changwei Chen, Luhu Shan, Yuhui Yang, Junzhao He, Jinping Pang, Liu Yang, Xinyue Wang, Sunliang Cui, Yaqin Fu, Xiaohong Xu, Lei Xu, Xiaojun Yao, Dan Li, Tingjun Hou, 2022 Discovery of novel GR ligands towards druggable GR antagonist conformations identified by MD Simulations and Markov state model analysis, Xueping Hu, Jinping Pang, Jintu Zhang, Chao Shen, Xin Chai, Ercheng Wang, Haiyi Chen, Xuwen Wang, Mojie Duan, Weitao Fu, Lei Xu, Yu Kang, Dan Li, Hongguang Xia, Tingjun Hou, 2022 DDInter: an online drug–drug interaction database towards improving clinical decision-making and patient safety, Guoli Xiong, Zhijiang Yang, Jiacai Yi, Ningning Wang, Lei Wang, Huimin Zhu, Chengkun Wu, Aiping Lu, Xiang Chen, Shao Liu, Tingjun Hou, Dongsheng Cao, 2022 InteractionGraphNet: a novel and efficient deep graph representation learning framework for accurate protein-ligand interaction predictions, Dejun Jiang, Chang-Yu Hsieh, Zhenxing Wu, Yu Kang, Jike Wang, Ercheng Wang, Ben Liao, Chao Shen, Lei Xu, Jian Wu, Dongsheng Cao, Tingjun Hou, 2021 Discovery of a novel androgen receptor antagonist manifesting evidence to disrupt the dimerization of the ligand-binding domain via attenuating the hydrogen-bonding network, Weitao Fu, Minkui Zhang, Jianing Liao, Qing Tang, Yixuan Lei, Zhou Gong, Luhu Shan, Mojie Duan, Xin Chai, Jinping Pang, Chun Tang, Xuwen Wang, Xiaohong Xu, Dan Li, Rong Sheng, Tingjun Hou*, 2021

Areas of Focus

Drug Design
Molecular Simulation
Cheminformatics
Bioinformatics
Computational Biology

Publications

OptADMET: an open substructure modification guiding workspace for multiple ADMET property optimization, Jiacai Yi, Shaohua Shi, Li Fu, Ziyi Yang, Peifei Nie, Aiping Lu, Chengkun Wu, Yafeng Deng, Changyu Hsieh, Xiangxiang Zeng, Tingjun Hou*, Dongsheng Cao*, 2023
Learning on topological surface and geometric structure for 3D molecular generation, Odin Zhang, Tianyue Wang, Gaoqi Weng, Dejun Jiang, Ning Wang, Xiaorui Wang, Huifeng Zhao, Jialu Wu, Ercheng Wang, Guangyong Chen, Yafeng Deng, Peichen Pan, Yu Kang*, Chang-Yu Hsieh*, Tingjun Hou*, 2023
AI-powered structure-based drug design inspired by the lock-and-key model, Odin Zhang, Guangyong Chen, Tingjun Hou*, 2023
Efficient and accurate large library ligand docking with KarmaDock, Xujun Zhang, Odin Zhang, Chao Shen, Wanglin Qu, Shicheng Chen, Hanqun Cao, Yu Kang, Zhe Wang, Ercheng Wang, Jintu Zhang, Yafeng Deng, Furui Liu, Tianyue Wang, Hongyan Du, Langcheng Wang, Peichen Pan*, Guangyong Chen*, Chang-Yu Hsieh*, Tingjun Hou*, 2023
ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling, Odin Zhang, Jintu Zhang, Jieyu Jin, Xujun Zhang, RenLing Hu, Chao Shen, Hanqun Cao, Hongyan Du, Yu Kang, Yafeng Deng, Furui Liu*, Guangyong Chen*, Chang-Yu Hsieh*, Tingjun Hou*, 2023
Substructure Mask Explanation (SME): an intuitive graph neural network explanation approach for mining structure-activity information from molecular property prediction models, Zhenxing Wu, Jike Wang, Hongyan Du, Dejun Jiang, Yu Kang, Dan Li, Peichen Pan, Yafeng Deng, Dongsheng Cao, Chang-Yu Hsieh*, Tingjun Hou*, 2023
Small-Molecule Inhibition of Androgen Receptor Dimerization as a Strategy against Prostate Cancer, Weitao Fu, Hao Yang, Chenxian Hu, Jianing Liao, Zhou Gong, Minkui Zhang, Shuai Yang, Shangxiang Ye, Yixuan Lei, Rong Sheng, Zhiguo Zhang, Xiaojun Yao, Chun Tang*, Dan Li*, Tingjun Hou*, 2023
Integrating multi-modal deep learning on knowledge graph for the discovery of synergistic drug combinations against infectious diseases, Qing Ye, Ruolan Xu, Dan Li, Yu Kang, Yafeng Deng, Feng Zhu, Jiming Chen*, Shibo He, Chang-Yu Hsieh*, Tingjun Hou*, 2023
A Flexible Data-Free Framework for Structure-Based De Novo Drug Design with Reinforcement Learning, Hongyan Du, Dejun Jiang, Odin Zhang, Zhenxing Wu, Junbo Gao, Xujun Zhang, Xiaorui Wang, Yafeng Deng, Yu Kang, Dan Li, Peichen Pan*, Chang-Yu Hsieh*, Tingjun Hou*, 2023
How Good Are Current Docking Programs at Nucleic Acid-Ligand Docking? A Comprehensive Evaluation, Dejun Jiang, Huifeng Zhao, Hongyan Du, Yafeng Deng, Zhenxing Wu, Jike Wang, Yundian Zeng, Haotian Zhang, Xiaorui Wang, Jian Wu*, Chang-Yu Hsieh*, Tingjun Hou*, 2023
FFLOM: A Flow-Based Autoregressive Model for Fragment-to-Lead Optimization, Jieyu Jin, Dong Wang, Guqin Shi, Jingxiao Bao, Jike Wang, Haotian Zhang, Peichen Pan, Dan Li, Xiaojun Yao, Huanxiang Liu, Tingjun Hou*, Yu Kang*, 2023
A generalized protein-ligand scoring framework with balanced scoring, docking, ranking and screening powers, Chao Shen, Xujun Zhang, Chang-Yu Hsieh, Yafeng Deng, Dong Wang, Lei Xu, Jian Wu, Dan Li, Yu Kang*, Tingjun Hou*, Peichen Pan*, 2023
Matched Molecular Pair Analysis in Drug Discovery: Methods and Recent Applications, Ziyi Yang, Shaohua Shi, Li Fu, Aiping Lu, Tingjun Hou*, Dongsheng Cao*, 2023
MetalProGNet: A Structure-based Deep Graph Model for Metalloprotein-Ligand Interaction Predictions, Dejun Jiang, Zhaofeng Ye, Chang-Yu Hsieh, Zhiyi Yang, Xujun Zhang, Yu Kang, Hongyan Du, Zhenxing Wu, Jike Wang, Yundian Zeng, Haotian Zhang, Xiaorui Wang, Mingyang Wang, Xiaojun Yao, Shengyu Zhang*, Jian Wu*, Tingjun Hou*, 2023
SDEGen: Learning to Evolve Molecular Conformations from Thermodynamic Noise for Conformation Generation, Haotian Zhang, Shengming Li, Jintu Zhang, Jike Wang, Dejun Jiang, Zhiwen Bian, Yixue Zhang, Yafeng Deng, Jianfei Song, Yu Kang*, Tingjun Hou*, 2023
PROTAC-DB 2.0: an updated database of PROTACs, Gaoqi Weng, Xuanyan Cai, Dongsheng Cao, Hongyan Du, Chao Shen, Yafeng Deng, Qiaojun He, Bo Yang, Dan Li*, Tingjun Hou*, 2023
MF-SuP-pKa: Multi-fidelity modeling with subgraph pooling mechanism for pKa prediction, Jialu Wu, Yue Wan, Zhenxing Wu, Shengyu Zhang, Dongsheng Cao*, Chang-Yu Hsieh*, Tingjun Hou*, 2023
Discovery and Optimization of N-acyl-6-sulfonamide-tetrahydroquinoline Derivatives as Novel Non-steroidal Selective Glucocorticoid Receptor Modulators, Dan Lia, Xiaodong Bao, Jinping Pang, Xueping Hu, Longling Wang, Jiajia Wang, Zhaoxu Yang, Lei Xu, Siyu Wang, Qinjie Weng*, Sunliang Cui*, Tingjun Hou*, 2022
ChemistGA: A Chemical Synthesizable Accessible Molecular Generation Algorithm for Real-World Drug Discovery, Jike Wang, Xiaorui Wang, Huiyong Sun, Mingyang Wang, Yundian Zeng, Dejun Jiang, Zhenxing Wu, Zeyi Liu, Ben Liao, Xiaojun Yao, Chang-Yu Hsieh*, Dongsheng Cao*, Xi Chen*, Tingjun Hou*, 2022
Boosting Protein-Ligand Binding Pose Prediction and Virtual Screening Based on Residue-Atom Distance Likelihood Potential and Graph Transformer, Chao Shen, Xujun Zhang, Yafeng Deng, Junbo Gao, Dong Wang, Lei Xu, Peichen Pan*, Tingjun Hou*, Yu Kang*, 2022
RELATION: A Deep Generative Model for Structure-Based De Novo Drug Design, Mingyang Wang, Chang-Yu Hsieh, Jike Wang, Dong Wang, Gaoqi Weng, Chao Shen, Xiaojun Yao, Zhitong Bing, Honglin Li*, Dongsheng Cao*, Tingjun Hou*, 2022
TocoDecoy: A New Approach to Design Unbiased Datasets for Training and Benchmarking Machine-Learning Scoring Functions, Xujun Zhang, Chao Shen, Ben Liao, Dejun Jiang, Jike Wang, Zhenxing Wu, Hongyan Du, Tianyue Wang, Wenbo Huo, Lei Xu, Dongsheng Cao*, Chang-Yu Hsieh*, Tingjun Hou*, 2022
High-throughput glycolytic inhibitor discovery targeting glioblastoma by graphite dots-assisted LDI mass spectrometry, Rui Shi, Peichen Pan, Rui Lv, Chongqing Ma, Enhui Wu, Ruochen Guo, Zhihao Zhao, Hexing Song, Joe Zhou, Yang Liu, Guoqiang Xu, Tingjun Hou*, Zhenhui Kang*, Jian Liu*, 2022
Discovery of N-(4-(Benzyloxy)-phenyl)-sulfonamide Derivatives as Novel antagonists of the human androgen receptor targeting the activation function 2, Xin Chai, Huiyong Sun, Wenfang Zhou, Changwei Chen, Luhu Shan, Yuhui Yang, Junzhao He, Jinping Pang, Liu Yang, Xinyue Wang, Sunliang Cui, Yaqin Fu, Xiaohong Xu, Lei Xu, Xiaojun Yao, Dan Li*, Tingjun Hou*, 2022
Discovery of novel GR ligands towards druggable GR antagonist conformations identified by MD Simulations and Markov state model analysis, Xueping Hu, Jinping Pang, Jintu Zhang, Chao Shen, Xin Chai, Ercheng Wang, Haiyi Chen, Xuwen Wang, Mojie Duan, Weitao Fu, Lei Xu, Yu Kang, Dan Li*, Hongguang Xia*, Tingjun Hou*, 2022
DDInter: an online drug–drug interaction database towards improving clinical decision-making and patient safety, Guoli Xiong, Zhijiang Yang, Jiacai Yi, Ningning Wang, Lei Wang, Huimin Zhu, Chengkun Wu, Aiping Lu, Xiang Chen, Shao Liu, Tingjun Hou*, Dongsheng Cao*, 2022
InteractionGraphNet: a novel and efficient deep graph representation learning framework for accurate protein-ligand interaction predictions, Dejun Jiang, Chang-Yu Hsieh, Zhenxing Wu, Yu Kang, Jike Wang, Ercheng Wang, Ben Liao, Chao Shen, Lei Xu, Jian Wu*, Dongsheng Cao*, Tingjun Hou*, 2021
Discovery of a novel androgen receptor antagonist manifesting evidence to disrupt the dimerization of the ligand-binding domain via attenuating the hydrogen-bonding network, Weitao Fu, Minkui Zhang, Jianing Liao, Qing Tang, Yixuan Lei, Zhou Gong, Luhu Shan, Mojie Duan, Xin Chai, Jinping Pang, Chun Tang, Xuwen Wang, Xiaohong Xu, Dan Li*, Rong Sheng*, Tingjun Hou*, 2021

Drug Design Molecular Simulation Cheminformatics Bioinformatics Computational Biology Artificial Intelligence High-Performance Computing Theoretical Chemistry Predictive Models Software Development

Feng Zhu - Zhejiang University

Zhan Zhou - Zhejiang University

Changyu Xie - Zhejiang University

View All

Personal Information

Academic Information

Research

Contact us

No account yet?

Personal Information

Academic Information

Research

Contact us