Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Changda Gong

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Journal of Chemical Information and Modeling|May 12, 2026
ULCYP: A Multitask Model for Predicting P450 Inducers Based on Positive-Unlabeled LearningChangda Gong, Jiaojiao Fang, Guixia Liu, et al.
Journal of Chemical Information and Modeling|April 9, 2024
Unraveling the Ligand-Binding Sites of CYP3A4 by Molecular Dynamics Simulations with Solvent ProbesYanjun Feng, Changda Gong, Jieyu Zhu, et al.
Journal of Applied Toxicology : JAT|March 28, 2024
Evaluation of machine learning models for cytochrome P450 3A4, 2D6, and 2C9 inhibitionChangda Gong, Yanjun Feng, Jieyu Zhu, et al.
Journal of Cheminformatics|December 9, 2025
SGEDiff: a subgraph-enriched diffusion model for structure-based 3D molecular generationChangda Gong, Jiaojiao Fang, Yan Tang, et al.
Journal of Chemical Information and Modeling|June 19, 2023
Prediction of Sites of Metabolism of CYP3A4 Substrates Utilizing Docking-Derived Geometric FeaturesYanjun Feng, Changda Gong, Jieyu Zhu, et al.
Journal of Pharmaceutical Analysis|July 18, 2025
<i>In silico</i> prediction of p<i>K</i> <sub>a</sub> values using explainable deep learning methodsChen Yang, Changda Gong, Zhixing Zhang, et al.
Chemical Research in Toxicology|August 28, 2024
Prediction of Cytochrome P450 Substrates Using the Explainable Multitask Deep Learning ModelsJiaojiao Fang, Yan Tang, Changda Gong, et al.
Journal of Chemical Information and Modeling|January 6, 2026
Prediction of Intravenous Pharmacokinetic Parameters across Multiple Species by a Multifidelity Deep Learning FrameworkJiaojiao Fang, Changda Gong, Keyun Zhu, et al.
Chinese Journal of Natural Medicines|November 19, 2025
KG-CNNDTI: a knowledge graph-enhanced prediction model for drug-target interactions and application in virtual screening of natural products against Alzheimer's diseaseChengyuan Yue, Baiyu Chen, Long Chen, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Chemical Information and Modeling|May 12, 2026
ULCYP: A Multitask Model for Predicting P450 Inducers Based on Positive-Unlabeled LearningChangda Gong, Jiaojiao Fang, Guixia Liu, et al.
Journal of Chemical Information and Modeling|April 9, 2024
Unraveling the Ligand-Binding Sites of CYP3A4 by Molecular Dynamics Simulations with Solvent ProbesYanjun Feng, Changda Gong, Jieyu Zhu, et al.
Journal of Applied Toxicology : JAT|March 28, 2024
Evaluation of machine learning models for cytochrome P450 3A4, 2D6, and 2C9 inhibitionChangda Gong, Yanjun Feng, Jieyu Zhu, et al.
Journal of Cheminformatics|December 9, 2025
SGEDiff: a subgraph-enriched diffusion model for structure-based 3D molecular generationChangda Gong, Jiaojiao Fang, Yan Tang, et al.
Journal of Chemical Information and Modeling|June 19, 2023
Prediction of Sites of Metabolism of CYP3A4 Substrates Utilizing Docking-Derived Geometric FeaturesYanjun Feng, Changda Gong, Jieyu Zhu, et al.
Journal of Pharmaceutical Analysis|July 18, 2025
<i>In silico</i> prediction of p<i>K</i> <sub>a</sub> values using explainable deep learning methodsChen Yang, Changda Gong, Zhixing Zhang, et al.
Chemical Research in Toxicology|August 28, 2024
Prediction of Cytochrome P450 Substrates Using the Explainable Multitask Deep Learning ModelsJiaojiao Fang, Yan Tang, Changda Gong, et al.
Journal of Chemical Information and Modeling|January 6, 2026
Prediction of Intravenous Pharmacokinetic Parameters across Multiple Species by a Multifidelity Deep Learning FrameworkJiaojiao Fang, Changda Gong, Keyun Zhu, et al.
Chinese Journal of Natural Medicines|November 19, 2025
KG-CNNDTI: a knowledge graph-enhanced prediction model for drug-target interactions and application in virtual screening of natural products against Alzheimer's diseaseChengyuan Yue, Baiyu Chen, Long Chen, et al.
Pageof 1