Prediction of Human Clearance Using In Silico Models with Reduced Bias
Author:
Affiliation:
1. CmaxDMPK, LLC, Framingham , Massachusetts 01701, United States
2. Alkermes Inc., 852 Winter Street, Waltham, Massachusetts 02451, United States
Publisher
American Chemical Society (ACS)
Subject
Drug Discovery,Pharmaceutical Science,Molecular Medicine
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.molpharmaceut.3c00812
Reference46 articles.
1. Prediction of Human Metabolic Clearance from In Vitro Systems: Retrospective Analysis and Prospective View
2. Clearance Prediction Methodology Needs Fundamental Improvement: Trends Common to Rat and Human Hepatocytes/Microsomes and Implications for Experimental Methodology
3. Practical use of the regression offset approach for the prediction ofin vivointrinsic clearance from hepatocytes
4. Use of Segregated Hepatocyte Scaling Factors and Cross-Species Relationships to Resolve Clearance Dependence in the Prediction of Human Hepatic Clearance
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