Predicting complexation performance between cyclodextrins and guest molecules by integrated machine learning and molecular modeling techniques

• Hauptverfasser: Qianqian Zhao (Verfasst von), Zhuyifan Ye (Verfasst von), Yan Su (Verfasst von), Defang Ouyang (Verfasst von)
• Format: Buch
• Veröffentlicht: Elsevier, 2019-11-01T00:00:00Z.
• Schlagworte: article
• Online-Zugang: Connect to this object online.

Most pharmaceutical formulation developments are complex and ideal formulations are generally obtained after extensive experimentation. Machine learning is increasingly advancing many aspects in modern society and has achieved significant success in multiple subjects. Current research demonstrated t...