Application of ICA-CMAC in the Prediction of Human Hepatic Clearance

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.

• Periodical: Advanced Materials Research (Volumes 268-270)
• Pages: 1759-1762
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.268-270.1759
• Online since: July 2011
• Authors: Ying Qi Ge, Xiao Ping Luo, Qian Ming Mao
• Keywords: Credit, Drug Clearance, ICA-CMAC, Metabolism Prediction, Neural Network (NN)

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