Predicting complexation performance between cyclodextrins and guest molecules by integrated machine learning and molecular modeling techniques
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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-11-01
|
| Series: | Acta Pharmaceutica Sinica B |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211383519300231 |