制药工业
药品
药学
计算生物学
药理学
机制(生物学)
生化工程
药物开发
药物发现
酶
细胞色素P450
生物
计算机科学
透视图(图形)
医学
生物信息学
生物化学
工程类
哲学
认识论
人工智能
作者
Scott W. Grimm,Heidi J. Einolf,S D Hall,Kan He,Heng‐Keang Lim,Kah-Hiing John Ling,Chuang Lu,Amin A. Nomeir,Eleanore Seibert,Konstantine W. Skordos,George Tonn,Robert V. Horn,Regina W. Wang,Y. Nancy Wong,Tian Jian Yang,Ronald Scott Obach
标识
DOI:10.1124/dmd.109.026716
摘要
Time-dependent inhibition (TDI) of cytochrome P450 (P450) enzymes caused by new molecular entities (NMEs) is of concern because such compounds can be responsible for clinically relevant drug-drug interactions (DDI). Although the biochemistry underlying mechanism-based inactivation (MBI) of P450 enzymes has been generally understood for several years, significant advances have been made only in the past few years regarding how in vitro time-dependent inhibition data can be used to understand and predict clinical DDI. In this article, a team of scientists from 16 pharmaceutical research organizations that are member companies of the Pharmaceutical Research and Manufacturers of America offer a discussion of the phenomenon of TDI with emphasis on the laboratory methods used in its measurement. Results of an anonymous survey regarding pharmaceutical industry practices and strategies around TDI are reported. Specific topics that still possess a high degree of uncertainty are raised, such as parameter estimates needed to make predictions of DDI magnitude from in vitro inactivation parameters. A description of follow-up mechanistic experiments that can be done to characterize TDI are described. A consensus recommendation regarding common practices to address TDI is included, the salient points of which include the use of a tiered approach wherein abbreviated assays are first used to determine whether NMEs demonstrate TDI or not, followed by more thorough inactivation studies for those that do to define the parameters needed for prediction of DDI.
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