Predicting Complexation Performance between Cyclodextrins and Guest Molecules by Integrated Machine learning and Molecular Modeling Techniques

标题
Predicting Complexation Performance between Cyclodextrins and Guest Molecules by Integrated Machine learning and Molecular Modeling Techniques
作者
关键词
Machine learning, Deep learning, LightGBM, Random forest, Cyclodextrin, Binding free energy, Molecular modeling, Ketoprofen
出版物
Acta Pharmaceutica Sinica B
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2019-05-09
DOI
10.1016/j.apsb.2019.04.004

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