Hou, Tingjun
Zhejiang University
10 papers on CoChatORCID 0000-0001-7227-2580
Most cited papers
- Verified
Comprehensive Evaluation of Ten Docking Programs on a Diverse Set of Protein-Ligand Complexes: The Prediction Accuracy of Sampling Power and Scoring Power
Wang, Z., Sun, H., Yao, X., Li, D., Xu, L., Li, Y., Tian, S., & Hou, T. (2016) · Physical Chemistry Chemical Physics
Computational Drug Discovery MethodsProtein Structure and Dynamics
Cited by 946
- Verified
Assessing the performance of MM/PBSA and MM/GBSA methods. 4. Accuracies of MM/PBSA and MM/GBSA methodologies evaluated by various simulation protocols using PDBbind data set.
Sun, H., Li, Y., Tian, S., Xu, L., & Hou, T. (2014) · Phys. Chem. Chem. Phys.
Computational Drug Discovery MethodsProtein Structure and Dynamics
Cited by 738
- Verified
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models
Jiang, D., Wu, Z., Hsieh, C.-Y., Chen, G., Liao, B., Wang, Z., Shen, C., Cao, D., Wu, J., & Hou, T. (2021) · Journal of Cheminformatics
Computational Drug Discovery MethodsMachine Learning in Materials Science
Cited by 664
- Verified
Could graph neural networks learn better molecular representation for drug discovery? a comparison study of descriptor-based and graph-based models
Jiang, D., Wu, Z., Hsieh, C.-Y., Chen, G., Liao, B., Wang, Z., Shen, C., Cao, D., Wu, J., & Hou, T. (2020) · Journal of Cheminformatics
Computational Drug Discovery MethodsMachine Learning in Materials Science
Cited by 664
- Verified
A unified drug–target interaction prediction framework based on knowledge graph and recommendation system
Ye, Q., Hsieh, C.-Y., Yang, Z., Kang, Y., Chen, J., Cao, D., He, S., & Hou, T. (2021) · Nature Communications
Computational Drug Discovery MethodsRecommender Systems and Techniques
Cited by 261
- Verified
PROTAC-DB: an online database of PROTACs
Weng, G., Shen, C., Cao, D., Gao, J., Dong, X., He, Q., Yang, B., Li, D., Wu, J., & Hou, T. (2021) · Nucleic Acids Research
Protein Degradation and InhibitorsComputational Drug Discovery Methods
Cited by 219
- Verified
Metformin activates chaperone-mediated autophagy and improves disease pathologies in an Alzheimer disease mouse model
Xu, X., Sun, Y., Cen, X., Shan, B., Zhao, Q., Xie, T., Wang, Z., Hou, T., Xue, Y., Zhang, M., et al. (2021) · Protein & Cell
Autophagy in Disease and TherapyAlzheimer's disease research and treatments
Cited by 171
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Integrative Modeling of PROTAC-Mediated Ternary Complexes
Weng, G., Li, D., Kang, Y., & Hou, T. (2021) · Journal of Medicinal Chemistry
Protein Degradation and InhibitorsComputational Drug Discovery Methods
Cited by 130
- Verified
ARIH1 signaling promotes anti-tumor immunity by targeting PD-L1 for proteasomal degradation
Wu, Y., Zhang, C., Liu, X., He, Z., Shan, B., Zeng, Q., Zhao, Q., Zhu, H., Liao, H., Cen, X., et al. (2021) · Nature Communications
Cancer Immunotherapy and BiomarkersUbiquitin and proteasome pathways
Cited by 117
- Verified
RELATION: A Deep Generative Model for Structure-Based De Novo Drug Design
Wang, M., Hsieh, C.-Y., Wang, J., Wang, D., Weng, G., Shen, C., Yao, X., Bing, Z., Li, H., Cao, D., et al. (2022) · Journal of Medicinal Chemistry
Computational Drug Discovery MethodsMachine Learning in Materials Science
Cited by 99
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