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Zhe Wang 0041
Person information
- affiliation: Zhejiang University, Innovation Institute for Artificial Intelligence in Medicine, College of Pharmaceutical Sciences, Hangzhou, China
Other persons with the same name
- Zhe Wang — disambiguation page
- Zhe Wang 0001
— Griffith University, School of Information and Communication Technology, Australia
- Zhe Wang 0002
- Zhe Wang 0003
- Zhe Wang 0004 — Columbia University, Department of Electrical Engineering, New York, NY, USA
- Zhe Wang 0005
- Zhe Wang 0006
- Zhe Wang 0007 — Jilin University, College of Computer Science and Technology, Changchun, China
- Zhe Wang 0008
- Zhe Wang 0009 — University of Reading, UK
- Zhe Wang 0010
- Zhe Wang 0011
- Zhe Wang 0012
- Zhe Wang 0013
- Zhe Wang 0014
- Zhe Wang 0015
- Zhe Wang 0016
- Zhe Wang 0017
- Zhe Wang 0018
- Zhe Wang 0019
- Zhe Wang 0020 — University of Southern Caifornia, Los Angeles, CA, USA
- Zhe Wang 0021 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Zhe Wang 0022 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, ON, Canada
- Zhe Wang 0023 — Intel, USA (and 2 more)
- Zhe Wang 0024
- Zhe Wang 0025 — University of Virginia, Department of Computer Science, Charlottesville, VA, USA
- Zhe Wang 0026
- Zhe Wang 0027
- Zhe Wang 0028
- Zhe Wang 0029
- Zhe Wang 0030
- Zhe Wang 0031
- Zhe Wang 0032
- Zhe Wang 0033
- Zhe Wang 0034
- Zhe Wang 0035
- Zhe Wang 0036
- Zhe Wang 0037
- Zhe Wang 0038
- Zhe Wang 0039
- Zhe Wang 0040 — Chongqing University, School of Big Data and Software Engineering, China
- Zhe Wang 0042
- Zhe Wang 0043 — Xijing Hospital, Fourth Military Medical University, Xi'an, China
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2020 – today
- 2024
- [j30]Xing Zhang, Jianbo Tong, Tianhao Wang
Dissecting the role of ALK double mutations in drug resistance to lorlatinib with in-depth theoretical modeling and analysis. Comput. Biol. Medicine 169: 107815 (2024) - [j29]Tianhao Wang
Structure-based virtual screening of novel USP5 inhibitors targeting the zinc finger ubiquitin-binding domain. Comput. Biol. Medicine 174: 108397 (2024) - [j28]Xing Zhang, Jianbo Tong, Tianhao Wang, Zhe Wang
In-depth theoretical modeling to explore the mechanism of TPX-0131 overcoming lorlatinib resistance to ALKL1196M/G1202R mutation. Comput. Biol. Medicine 183: 109265 (2024) - [j27]Nanqi Hong, Dejun Jiang
TransfIGN: A Structure-Based Deep Learning Method for Modeling the Interaction between HLA-A*02:01 and Antigen Peptides. J. Chem. Inf. Model. 64(13): 5016-5027 (2024) - [j26]Qirui Deng, Zhe Wang, Sutong Xiang, Qinghua Wang, Yifei Liu, Tingjun Hou
RLpMIEC: High-Affinity Peptide Generation Targeting Major Histocompatibility Complex-I Guided and Interpreted by Interaction Spectrum-Navigated Reinforcement Learning. J. Chem. Inf. Model. 64(16): 6432-6449 (2024) - [j25]Kexin Xu, Zhe Wang, Sutong Xiang, Rongfan Tang, Qirui Deng, Jingxuan Ge, Zhiliang Jiang, Kaimo Yang, Tingjun Hou
Characterizing the Cooperative Effect of PROTAC Systems with End-Point Binding Free Energy Calculation. J. Chem. Inf. Model. 64(19): 7666-7678 (2024) - 2023
- [j24]Dong Wang, Zhenxing Wu, Chao Shen
Learning with uncertainty to accelerate the discovery of histone lysine-specific demethylase 1A (KDM1A/LSD1) inhibitors. Briefings Bioinform. 24(1) (2023) - [j23]Lingling Wang, Lei Xu, Zhe Wang
Cooperation of structural motifs controls drug selectivity in cyclin-dependent kinases: an advanced theoretical analysis. Briefings Bioinform. 24(1) (2023) - [j22]Shukai Gu
Can molecular dynamics simulations improve predictions of protein-ligand binding affinity with machine learning? Briefings Bioinform. 24(2) (2023) - [j21]Zhe Wang, Haiyang Zhong
Small-Molecule Conformer Generators: Evaluation of Traditional Methods and AI Models on High-Quality Data Sets. J. Chem. Inf. Model. 63(21): 6525-6536 (2023) - [j20]Sutong Xiang, Zhe Wang, Rongfan Tang, Lingling Wang, Qinghua Wang, Yang Yu, Qirui Deng, Tingjun Hou
Exhaustively Exploring the Prevalent Interaction Pathways of Ligands Targeting the Ligand-Binding Pocket of Farnesoid X Receptor via Combined Enhanced Sampling. J. Chem. Inf. Model. 63(23): 7529-7544 (2023) - [j19]Xujun Zhang
Efficient and accurate large library ligand docking with KarmaDock. Nat. Comput. Sci. 3(9): 789-804 (2023) - 2022
- [j18]Rongfan Tang, Pengcheng Chen, Zhe Wang
Characterizing the stabilization effects of stabilizers in protein-protein systems with end-point binding free energy calculations. Briefings Bioinform. 23(3) (2022) - [j17]Zhe Wang
fastDRH: a webserver to predict and analyze protein-ligand complexes based on molecular docking and MM/PB(GB)SA computation. Briefings Bioinform. 23(5) (2022) - [j16]Yang Yu, Zhe Wang
Predicting the mutation effects of protein-ligand interactions via end-point binding free energy calculations: strategies and analyses. J. Cheminformatics 14(1): 56 (2022) - [j15]Jiahui Yu, Jike Wang, Hong Zhao, Junbo Gao, Yu Kang
Organic Compound Synthetic Accessibility Prediction Based on the Graph Attention Mechanism. J. Chem. Inf. Model. 62(12): 2973-2986 (2022) - [j14]Qinghua Wang, Zhe Wang
Determination of Molecule Category of Ligands Targeting the Ligand-Binding Pocket of Nuclear Receptors with Structural Elucidation and Machine Learning. J. Chem. Inf. Model. 62(17): 3993-4007 (2022) - 2021
- [j13]Chao Shen, Ye Hu, Zhe Wang
Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions. Briefings Bioinform. 22(1): 497-514 (2021) - [j12]Chao Shen, Ye Hu, Zhe Wang
Beware of the generic machine learning-based scoring functions in structure-based virtual screening. Briefings Bioinform. 22(3) (2021) - [j11]Zhenxing Wu, Minfeng Zhu, Yu Kang, Elaine Lai-Han Leung, Tailong Lei
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) - [j10]Jike Wang, Huiyong Sun
DeepChargePredictor: a web server for predicting QM-based atomic charges via state-of-the-art machine-learning algorithms. Bioinform. 37(22): 4255-4257 (2021) - [j9]Xujun Zhang
ASFP (Artificial Intelligence based Scoring Function Platform): a web server for the development of customized scoring functions. J. Cheminformatics 13(1): 6 (2021) - [j8]Dejun Jiang, Zhenxing Wu, Chang-Yu Hsieh, Guangyong Chen, Ben Liao, Zhe Wang
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) - [j7]Chao Shen, Xueping Hu
The impact of cross-docked poses on performance of machine learning classifier for protein-ligand binding pose prediction. J. Cheminformatics 13(1): 81 (2021) - 2020
- [j6]Chao Shen, Zhe Wang
Comprehensive assessment of nine docking programs on type II kinase inhibitors: prediction accuracy of sampling power, scoring power and screening power. Briefings Bioinform. 21(1): 282-297 (2020) - [j5]Dejun Jiang, Tailong Lei, Zhe Wang
ADMET evaluation in drug discovery. 20. Prediction of breast cancer resistance protein inhibition through machine learning. J. Cheminformatics 12(1): 16 (2020) - [j4]Ercheng Wang
Development and Evaluation of MM/GBSA Based on a Variable Dielectric GB Model for Predicting Protein-Ligand Binding Affinities. J. Chem. Inf. Model. 60(11): 5353-5365 (2020)
2010 – 2019
- 2019
- [j3]Zhe Wang
farPPI: a webserver for accurate prediction of protein-ligand binding structures for small-molecule PPI inhibitors by MM/PB(GB)SA methods. Bioinform. 35(10): 1777-1779 (2019) - [j2]Zhenxing Wu, Tailong Lei
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) - [j1]Gaoqi Weng
HawkDock: a web server to predict and analyze the protein-protein complex based on computational docking and MM/GBSA. Nucleic Acids Res. 47(Webserver-Issue): W322-W330 (2019)
Coauthor Index
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