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Tingjun Hou

Showing results (291-300 of 464) with videos related to

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Journal of Medicinal Chemistry|September 10, 2025
Discovery of <i>N</i>-(thiazol-2-yl) Furanamide Derivatives as Potent Orally Efficacious AR Antagonists with Low BBB PermeabilityJinbiao Liao, Jianing Liao, Yanzhen Yu, et al.
Briefings in Bioinformatics|November 1, 2018
Comprehensive assessment of nine docking programs on type II kinase inhibitors: prediction accuracy of sampling power, scoring power and screening powerChao Shen, Zhe Wang, Xiaojun Yao, et al.
Nucleic Acids Research|October 23, 2024
CovalentInDB 2.0: an updated comprehensive database for structure-based and ligand-based covalent inhibitor design and screeningHongyan Du, Xujun Zhang, Zhenxing Wu, et al.
Journal of Chemical Information and Modeling|October 11, 2023
CODD-Pred: A Web Server for Efficient Target Identification and Bioactivity Prediction of Small MoleculesXiaodan Yin, Xiaorui Wang, Yuquan Li, et al.
Journal of Chemical Information and Modeling|October 3, 2024
Characterizing the Cooperative Effect of PROTAC Systems with End-Point Binding Free Energy CalculationKexin Xu, Zhe Wang, Sutong Xiang, et al.
Journal of Chemical Information and Modeling|May 22, 2026
STE-DC2I Uncovers Driver Genes in Colorectal Cancer Subtypes Using Symbolic Trajectory-Embedded Dark Causal InferenceMeng Huang, Huijin Hu, Ming Li, et al.
Journal of Chemical Information and Modeling|July 19, 2013
Accelerated conformational entropy calculations using graphic processing unitsQian Zhang, Junmei Wang, Ginés D Guerrero, et al.
Nucleic Acids Research|October 3, 2020
PROTAC-DB: an online database of PROTACsGaoqi Weng, Chao Shen, Dongsheng Cao, et al.
Briefings in Bioinformatics|January 27, 2020
Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functionsChao Shen, Ye Hu, Zhe Wang, et al.
Journal of Chemical Information and Modeling|November 20, 2023
Exhaustively Exploring the Prevalent Interaction Pathways of Ligands Targeting the Ligand-Binding Pocket of Farnesoid X Receptor <i>via</i> Combined Enhanced SamplingSutong Xiang, Zhe Wang, Rongfan Tang, et al.
Pageof 47

Showing results (291-300 of 464) with videos related to

Sort By:
Pageof 47
Journal of Medicinal Chemistry|September 10, 2025
Discovery of <i>N</i>-(thiazol-2-yl) Furanamide Derivatives as Potent Orally Efficacious AR Antagonists with Low BBB PermeabilityJinbiao Liao, Jianing Liao, Yanzhen Yu, et al.
Briefings in Bioinformatics|November 1, 2018
Comprehensive assessment of nine docking programs on type II kinase inhibitors: prediction accuracy of sampling power, scoring power and screening powerChao Shen, Zhe Wang, Xiaojun Yao, et al.
Nucleic Acids Research|October 23, 2024
CovalentInDB 2.0: an updated comprehensive database for structure-based and ligand-based covalent inhibitor design and screeningHongyan Du, Xujun Zhang, Zhenxing Wu, et al.
Journal of Chemical Information and Modeling|October 11, 2023
CODD-Pred: A Web Server for Efficient Target Identification and Bioactivity Prediction of Small MoleculesXiaodan Yin, Xiaorui Wang, Yuquan Li, et al.
Journal of Chemical Information and Modeling|October 3, 2024
Characterizing the Cooperative Effect of PROTAC Systems with End-Point Binding Free Energy CalculationKexin Xu, Zhe Wang, Sutong Xiang, et al.
Journal of Chemical Information and Modeling|May 22, 2026
STE-DC2I Uncovers Driver Genes in Colorectal Cancer Subtypes Using Symbolic Trajectory-Embedded Dark Causal InferenceMeng Huang, Huijin Hu, Ming Li, et al.
Journal of Chemical Information and Modeling|July 19, 2013
Accelerated conformational entropy calculations using graphic processing unitsQian Zhang, Junmei Wang, Ginés D Guerrero, et al.
Nucleic Acids Research|October 3, 2020
PROTAC-DB: an online database of PROTACsGaoqi Weng, Chao Shen, Dongsheng Cao, et al.
Briefings in Bioinformatics|January 27, 2020
Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functionsChao Shen, Ye Hu, Zhe Wang, et al.
Journal of Chemical Information and Modeling|November 20, 2023
Exhaustively Exploring the Prevalent Interaction Pathways of Ligands Targeting the Ligand-Binding Pocket of Farnesoid X Receptor <i>via</i> Combined Enhanced SamplingSutong Xiang, Zhe Wang, Rongfan Tang, et al.
Pageof 47