UM

Browse/Search Results:  1-4 of 4 Help

Selected(0)Clear Items/Page:    Sort:
Predicting liposome formulations by the integrated machine learning and molecular modeling approaches Journal article
Han, Run, Ye, Zhuyifan, Zhang, Yunsen, Cheng, Yaxin, Zheng, Ying, Ouyang, Defang. Predicting liposome formulations by the integrated machine learning and molecular modeling approaches[J]. Asian Journal of Pharmaceutical Sciences, 2023, 18(3), 100811.
Authors:  Han, Run;  Ye, Zhuyifan;  Zhang, Yunsen;  Cheng, Yaxin;  Zheng, Ying; et al.
Favorite | TC[WOS]:13 TC[Scopus]:13  IF:10.7/9.0 | Submit date:2023/06/05
Formulation Prediction  Liposome  Machine Learning  Molecular Modeling  
Prediction of lipid nanoparticles for mRNA vaccines by the machine learning algorithm Journal article
Wang, Wei, Feng, Shuo, Ye, Zhuyifan, Gao, Hanlu, Lin, Jinzhong, Ouyang, Defang. Prediction of lipid nanoparticles for mRNA vaccines by the machine learning algorithm[J]. Acta Pharmaceutica Sinica B, 2021, 12(6), 2950 - 2962.
Authors:  Wang, Wei;  Feng, Shuo;  Ye, Zhuyifan;  Gao, Hanlu;  Lin, Jinzhong; et al.
Favorite | TC[WOS]:55 TC[Scopus]:58  IF:14.7/14.1 | Submit date:2022/05/17
Formulation Prediction  Ionizable Lipid  Lightgbm  Lipid Nanoparticle  Machine Learning  Molecular Modeling  Mrna  Vaccine  
PharmDE: A new expert system for drug-excipient compatibility evaluation Journal article
Wang, Nannan, Sun, Huimin, Dong, Jie, Ouyang, Defang. PharmDE: A new expert system for drug-excipient compatibility evaluation[J]. International Journal of Pharmaceutics, 2021, 607, 120962.
Authors:  Wang, Nannan;  Sun, Huimin;  Dong, Jie;  Ouyang, Defang
Favorite | TC[WOS]:20 TC[Scopus]:26  IF:5.3/5.6 | Submit date:2021/12/08
Drug-excipient Compatibility  Formulation Design  Expert System  Database  Prediction  Artificial Intelligence  
Predicting oral disintegrating tablet formulations by neural network techniques Journal article
Han, Run, Yang, Yilong, Li, Xiaoshan, Ouyang, Defang. Predicting oral disintegrating tablet formulations by neural network techniques[J]. ASIAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2018, 13(4), 336-342.
Authors:  Han, Run;  Yang, Yilong;  Li, Xiaoshan;  Ouyang, Defang
Favorite | TC[WOS]:57 TC[Scopus]:73  IF:10.7/9.0 | Submit date:2018/10/30
Oral Disintegrating Tablets  Formulation Prediction  Artificial Neural Network  Deep Neural Network  Deep-learning