To carry on brief overview of principles and applications of the latest research progress of computational pharmacy,and provide new ideas for complex drug delivery systems that cannot be solved by experience and trial error. The paper retrieved the latest research and application progress literature related to computational pharmacy,extracted and reviewed the latest status of the principles and applications. Computational pharmacy,based on artificial intelligence and machine learning,provided new solutions for traditional pharmaceutical excipient prescription screening,solid dispersion applications,self emulsification systems,eye delivery systems,3D printing formulations,and other fields in new drug formulations with multi-scale mathematical simulation methods of molecular modeling,process simulation and biopharmaceutical modeling. Currently,computational pharmacy can provide rough predictions for various drug formulations before experiments,but there is still significant room for improvement of prediction accuracy.
维普
万方数据