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Xiang-Qun Xie

Showing results (1-10 of 145) with videos related to

Pageof 15
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Expert Opinion on Drug Discovery|June 22, 2011
Exploiting PubChem for Virtual ScreeningXiang-Qun Xie
Protein Expression and Purification|April 1, 2008
Biosynthesis, purification, and characterization of a cannabinoid receptor 2 fragment (CB2(271-326))Yuxun Zhang, Xiang-Qun Xie
Methods in Enzymology|January 22, 2013
Advances in methods to characterize ligand-induced ionic lock and rotamer toggle molecular switch in G protein-coupled receptorsXiang-Qun Xie, Ananda Chowdhury
Future Medicinal Chemistry|March 1, 2014
Computational target fishing: what should chemogenomics researchers expect for the future of in silico drug design and discovery?Lirong Wang, Xiang-Qun Xie
Cells|March 10, 2022
Artificial Intelligent Deep Learning Molecular Generative Modeling of Scaffold-Focused and Cannabinoid CB2 Target-Specific Small-Molecule SublibrariesYuemin Bian, Xiang-Qun Xie
Future Medicinal Chemistry|March 16, 2016
Cancer genomics: opportunities for medicinal chemistry?Lirong Wang, Xiang-Qun Xie
Journal of Molecular Modeling|February 5, 2021
Generative chemistry: drug discovery with deep learning generative modelsYuemin Bian, Xiang-Qun Xie
The Journal of Biological Chemistry|November 20, 2004
NMR structural comparison of the cytoplasmic juxtamembrane domains of G-protein-coupled CB1 and CB2 receptors in membrane mimetic dodecylphosphocholine micellesXiang-Qun Xie, Jian-Zhong Chen
International Journal of Molecular Sciences|December 15, 2010
Recent advances in fragment-based QSAR and multi-dimensional QSAR methodsKyaw Zeyar Myint, Xiang-Qun Xie
Methods in Molecular Biology (Clifton, N.J.)|December 16, 2014
Ligand biological activity predictions using fingerprint-based artificial neural networks (FANN-QSAR)Kyaw Z Myint, Xiang-Qun Xie
Pageof 15

Showing results (1-10 of 145) with videos related to

Sort By:
Pageof 15
Expert Opinion on Drug Discovery|June 22, 2011
Exploiting PubChem for Virtual ScreeningXiang-Qun Xie
Protein Expression and Purification|April 1, 2008
Biosynthesis, purification, and characterization of a cannabinoid receptor 2 fragment (CB2(271-326))Yuxun Zhang, Xiang-Qun Xie
Methods in Enzymology|January 22, 2013
Advances in methods to characterize ligand-induced ionic lock and rotamer toggle molecular switch in G protein-coupled receptorsXiang-Qun Xie, Ananda Chowdhury
Future Medicinal Chemistry|March 1, 2014
Computational target fishing: what should chemogenomics researchers expect for the future of in silico drug design and discovery?Lirong Wang, Xiang-Qun Xie
Cells|March 10, 2022
Artificial Intelligent Deep Learning Molecular Generative Modeling of Scaffold-Focused and Cannabinoid CB2 Target-Specific Small-Molecule SublibrariesYuemin Bian, Xiang-Qun Xie
Future Medicinal Chemistry|March 16, 2016
Cancer genomics: opportunities for medicinal chemistry?Lirong Wang, Xiang-Qun Xie
Journal of Molecular Modeling|February 5, 2021
Generative chemistry: drug discovery with deep learning generative modelsYuemin Bian, Xiang-Qun Xie
The Journal of Biological Chemistry|November 20, 2004
NMR structural comparison of the cytoplasmic juxtamembrane domains of G-protein-coupled CB1 and CB2 receptors in membrane mimetic dodecylphosphocholine micellesXiang-Qun Xie, Jian-Zhong Chen
International Journal of Molecular Sciences|December 15, 2010
Recent advances in fragment-based QSAR and multi-dimensional QSAR methodsKyaw Zeyar Myint, Xiang-Qun Xie
Methods in Molecular Biology (Clifton, N.J.)|December 16, 2014
Ligand biological activity predictions using fingerprint-based artificial neural networks (FANN-QSAR)Kyaw Z Myint, Xiang-Qun Xie
Pageof 15