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Beihong Ji

Showing results (1-10 of 34) with videos related to

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BMC Cancer|October 3, 2023
ARPC5 acts as a potential prognostic biomarker that is associated with cell proliferation, migration and immune infiltrate in gliomasYue Ming, Chunyuan Luo, Beihong Ji, et al.
Arxiv|September 18, 2025
Auxiliary Discrminator Sequence Generative Adversarial Networks (ADSeqGAN) for Few Sample Molecule GenerationHaocheng Tang, Jing Long, Beihong Ji, et al.
Briefings in Bioinformatics|May 7, 2025
Advancing promiscuous aggregating inhibitor analysis with intelligent machine learning classificationLuxuan Wang, Beihong Ji, Jingchen Zhai, et al.
Journal of Chemical Information and Modeling|September 22, 2025
Auxiliary Discrminator Sequence Generative Adversarial Networks for Few Sample Molecule GenerationHaocheng Tang, Jing Long, Beihong Ji, et al.
Journal of Chemical Information and Modeling|November 20, 2020
How Well Does the Extended Linear Interaction Energy Method Perform in Accurate Binding Free Energy Calculations?Dongxiao Hao, Xibing He, Beihong Ji, et al.
Drug Discovery Today|July 30, 2023
Comparison and summary of in silico prediction tools for CYP450-mediated drug metabolismJingchen Zhai, Viet Hoang Man, Beihong Ji, et al.
European Journal of Drug Metabolism and Pharmacokinetics|February 16, 2022
In Silico Prediction of Pharmacokinetic Profile for Human Oral Drug Candidates Which Lack Clinical Pharmacokinetic Experiment DataJingchen Zhai, Beihong Ji, Shuhan Liu, et al.
Journal of Personalized Medicine|May 28, 2022
Physiologically-Based Pharmacokinetics Modeling for Hydroxychloroquine as a Treatment for Malaria and Optimized Dosing Regimens for Different PopulationsJingchen Zhai, Beihong Ji, Lianjin Cai, et al.
Journal of Computer-Aided Molecular Design|September 16, 2018
Calculate protein-ligand binding affinities with the extended linear interaction energy method: application on the Cathepsin S set in the D3R Grand Challenge 3Xibing He, Viet H Man, Beihong Ji, et al.
Research Square|June 5, 2025
A Full-Spectrum Generative Lead Discovery (FSGLD) Pipeline via DRUG-GAN: A Multiscale Method for Drug-like/Target-specific Compound Library GenerationJunmei Wang, Beihong Ji, Matthew Brock, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
BMC Cancer|October 3, 2023
ARPC5 acts as a potential prognostic biomarker that is associated with cell proliferation, migration and immune infiltrate in gliomasYue Ming, Chunyuan Luo, Beihong Ji, et al.
Arxiv|September 18, 2025
Auxiliary Discrminator Sequence Generative Adversarial Networks (ADSeqGAN) for Few Sample Molecule GenerationHaocheng Tang, Jing Long, Beihong Ji, et al.
Briefings in Bioinformatics|May 7, 2025
Advancing promiscuous aggregating inhibitor analysis with intelligent machine learning classificationLuxuan Wang, Beihong Ji, Jingchen Zhai, et al.
Journal of Chemical Information and Modeling|September 22, 2025
Auxiliary Discrminator Sequence Generative Adversarial Networks for Few Sample Molecule GenerationHaocheng Tang, Jing Long, Beihong Ji, et al.
Journal of Chemical Information and Modeling|November 20, 2020
How Well Does the Extended Linear Interaction Energy Method Perform in Accurate Binding Free Energy Calculations?Dongxiao Hao, Xibing He, Beihong Ji, et al.
Drug Discovery Today|July 30, 2023
Comparison and summary of in silico prediction tools for CYP450-mediated drug metabolismJingchen Zhai, Viet Hoang Man, Beihong Ji, et al.
European Journal of Drug Metabolism and Pharmacokinetics|February 16, 2022
In Silico Prediction of Pharmacokinetic Profile for Human Oral Drug Candidates Which Lack Clinical Pharmacokinetic Experiment DataJingchen Zhai, Beihong Ji, Shuhan Liu, et al.
Journal of Personalized Medicine|May 28, 2022
Physiologically-Based Pharmacokinetics Modeling for Hydroxychloroquine as a Treatment for Malaria and Optimized Dosing Regimens for Different PopulationsJingchen Zhai, Beihong Ji, Lianjin Cai, et al.
Journal of Computer-Aided Molecular Design|September 16, 2018
Calculate protein-ligand binding affinities with the extended linear interaction energy method: application on the Cathepsin S set in the D3R Grand Challenge 3Xibing He, Viet H Man, Beihong Ji, et al.
Research Square|June 5, 2025
A Full-Spectrum Generative Lead Discovery (FSGLD) Pipeline via DRUG-GAN: A Multiscale Method for Drug-like/Target-specific Compound Library GenerationJunmei Wang, Beihong Ji, Matthew Brock, et al.
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