ABSTRACT
Currently,a physiologically based pharmacokinetic(PBPK)model plays a key role in pharmaceutical research,which has been widely used at each stage of drug discovery and develop?ment. In the process of drug discovery,the selection of drug candidates is finished using the PBPK model to predict the pharmacokinetic properties of the drugs. In the process of preclinical development , through a combination of in vitro and physiological data amplification coefficient,the PBPK model can be used to predict not only the overall pharmacokinetic behavior of drug candidates in humans and animals and in vitro metabolism experiments,but also drug-drug interactions(DDI). In the course of clinical development,the PBPK model can help predict the difference between reference populations (age,different disease state,and polymorphism),especially the dosage and sampling time of the children. At present,the input parameters of PBPK model are mostly the mean values of the population,making it difficult to serve individuals. It is hoped that the input parameters of the model can reflect more of the individual characters according to the individual requirement,and that the time parameters of the input accord more with the actual physiological condition. In this article ,we briefly introduced the characteristics of common PBPK software,and reviewd the principle and feature of the PBPK model,as well as its application to drug discovery,preclinical development and clinical development,DDI,and individualized medication.