Abstract

In this paper, a novel improved Credit Assigned CMAC (ICA-CMAC) is designed based on the concept of credit to enhance the performance of the traditional CMAC. Then ICA-CMAC is used to predict the human hepatic clearance according to in-vitro data of drugs. The experiment results show that the prediction by ICA-CMAC is faster and more accurate and can be thought as a new and effective way for drug metabolism prediction.

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