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Yuemin Bian

Showing results (1-10 of 22) with videos related to

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Journal of Molecular Modeling|February 5, 2021
Generative chemistry: drug discovery with deep learning generative modelsYuemin Bian, 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
The AAPS Journal|April 11, 2018
Computational Fragment-Based Drug Design: Current Trends, Strategies, and ApplicationsYuemin Bian, Xiang-Qun Sean Xie
The AAPS Journal|June 1, 2017
Integrated In Silico Fragment-Based Drug Design: Case Study with Allosteric Modulators on Metabotropic Glutamate Receptor 5Yuemin Bian, Zhiwei Feng, Peng Yang, et al.
Biomolecules|July 2, 2021
Integrated Multi-Class Classification and Prediction of GPCR Allosteric Modulators by Machine Learning IntelligenceTianling Hou, Yuemin Bian, Terence McGuire, et al.
Molecular Pharmaceutics|October 8, 2019
Deep Convolutional Generative Adversarial Network (dcGAN) Models for Screening and Design of Small Molecules Targeting Cannabinoid ReceptorsYuemin Bian, Junmei Wang, Jaden Jungho Jun, et al.
European Journal of Medicinal Chemistry|August 21, 2020
Covalent allosteric modulation: An emerging strategy for GPCRs drug discoveryYuemin Bian, Jaden Jungho Jun, Jacob Cuyler, et al.
The AAPS Journal|April 1, 2018
Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data EraYankang Jing, Yuemin Bian, Ziheng Hu, et al.
The AAPS Journal|June 27, 2018
Correction to: Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data EraYankang Jing, Yuemin Bian, Ziheng Hu, et al.
Journal of Computer-Aided Molecular Design|March 7, 2019
Significantly different effects of tetrahydroberberrubine enantiomers on dopamine D1/D2 receptors revealed by experimental study and integrated in silico simulationHaixia Ge, Yuemin Bian, Xibing He, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Journal of Molecular Modeling|February 5, 2021
Generative chemistry: drug discovery with deep learning generative modelsYuemin Bian, 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
The AAPS Journal|April 11, 2018
Computational Fragment-Based Drug Design: Current Trends, Strategies, and ApplicationsYuemin Bian, Xiang-Qun Sean Xie
The AAPS Journal|June 1, 2017
Integrated In Silico Fragment-Based Drug Design: Case Study with Allosteric Modulators on Metabotropic Glutamate Receptor 5Yuemin Bian, Zhiwei Feng, Peng Yang, et al.
Biomolecules|July 2, 2021
Integrated Multi-Class Classification and Prediction of GPCR Allosteric Modulators by Machine Learning IntelligenceTianling Hou, Yuemin Bian, Terence McGuire, et al.
Molecular Pharmaceutics|October 8, 2019
Deep Convolutional Generative Adversarial Network (dcGAN) Models for Screening and Design of Small Molecules Targeting Cannabinoid ReceptorsYuemin Bian, Junmei Wang, Jaden Jungho Jun, et al.
European Journal of Medicinal Chemistry|August 21, 2020
Covalent allosteric modulation: An emerging strategy for GPCRs drug discoveryYuemin Bian, Jaden Jungho Jun, Jacob Cuyler, et al.
The AAPS Journal|April 1, 2018
Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data EraYankang Jing, Yuemin Bian, Ziheng Hu, et al.
The AAPS Journal|June 27, 2018
Correction to: Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data EraYankang Jing, Yuemin Bian, Ziheng Hu, et al.
Journal of Computer-Aided Molecular Design|March 7, 2019
Significantly different effects of tetrahydroberberrubine enantiomers on dopamine D1/D2 receptors revealed by experimental study and integrated in silico simulationHaixia Ge, Yuemin Bian, Xibing He, et al.
Pageof 3