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

Mingjian Jiang

Showing results (1-10 of 19) with videos related to

Pageof 2
Sort By:
BMC Bioinformatics|September 20, 2019
A novel protein descriptor for the prediction of drug binding sitesMingjian Jiang, Zhen Li, Yujie Bian, et al.
Drug Discovery Today|September 27, 2022
Deep learning methods for molecular representation and property predictionZhen Li, Mingjian Jiang, Shuang Wang, et al.
Peerj|December 15, 2023
A deep learning method for drug-target affinity prediction based on sequence interaction information miningMingjian Jiang, Yunchang Shao, Yuanyuan Zhang, et al.
BMC Genomics|June 17, 2022
Sequence-based drug-target affinity prediction using weighted graph neural networksMingjian Jiang, Shuang Wang, Shugang Zhang, et al.
Briefings in Bioinformatics|January 18, 2022
Molecular substructure tree generative model for de novo drug designShuang Wang, Tao Song, Shugang Zhang, et al.
Journal of Chemical Information and Modeling|August 24, 2019
Molecule Property Prediction Based on Spatial Graph EmbeddingXiaofeng Wang, Zhen Li, Mingjian Jiang, et al.
International Journal of Molecular Sciences|August 27, 2021
SAG-DTA: Prediction of Drug-Target Affinity Using Self-Attention Graph NetworkShugang Zhang, Mingjian Jiang, Shuang Wang, et al.
Journal of Molecular Graphics & Modelling|October 4, 2019
FRSite: Protein drug binding site prediction based on faster R-CNNMingjian Jiang, Zhiqiang Wei, Shugang Zhang, et al.
RSC Advances|May 6, 2022
Drug-target affinity prediction using graph neural network and contact mapsMingjian Jiang, Zhen Li, Shugang Zhang, et al.
Molecules (Basel, Switzerland)|September 20, 2019
Toxicity Prediction Method Based on Multi-Channel Convolutional Neural NetworkQing Yuan, Zhiqiang Wei, Xu Guan, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
BMC Bioinformatics|September 20, 2019
A novel protein descriptor for the prediction of drug binding sitesMingjian Jiang, Zhen Li, Yujie Bian, et al.
Drug Discovery Today|September 27, 2022
Deep learning methods for molecular representation and property predictionZhen Li, Mingjian Jiang, Shuang Wang, et al.
Peerj|December 15, 2023
A deep learning method for drug-target affinity prediction based on sequence interaction information miningMingjian Jiang, Yunchang Shao, Yuanyuan Zhang, et al.
BMC Genomics|June 17, 2022
Sequence-based drug-target affinity prediction using weighted graph neural networksMingjian Jiang, Shuang Wang, Shugang Zhang, et al.
Briefings in Bioinformatics|January 18, 2022
Molecular substructure tree generative model for de novo drug designShuang Wang, Tao Song, Shugang Zhang, et al.
Journal of Chemical Information and Modeling|August 24, 2019
Molecule Property Prediction Based on Spatial Graph EmbeddingXiaofeng Wang, Zhen Li, Mingjian Jiang, et al.
International Journal of Molecular Sciences|August 27, 2021
SAG-DTA: Prediction of Drug-Target Affinity Using Self-Attention Graph NetworkShugang Zhang, Mingjian Jiang, Shuang Wang, et al.
Journal of Molecular Graphics & Modelling|October 4, 2019
FRSite: Protein drug binding site prediction based on faster R-CNNMingjian Jiang, Zhiqiang Wei, Shugang Zhang, et al.
RSC Advances|May 6, 2022
Drug-target affinity prediction using graph neural network and contact mapsMingjian Jiang, Zhen Li, Shugang Zhang, et al.
Molecules (Basel, Switzerland)|September 20, 2019
Toxicity Prediction Method Based on Multi-Channel Convolutional Neural NetworkQing Yuan, Zhiqiang Wei, Xu Guan, et al.
Pageof 2