生化工程
钥匙(锁)
过程(计算)
质量(理念)
风险分析(工程)
控制(管理)
质量评定
计算机科学
生物信息学
过程管理
化学
工艺工程
可靠性工程
评价方法
业务
工程类
人工智能
物理
生物化学
基因
操作系统
量子力学
计算机安全
作者
Andrew Teasdale,David Elder,Sou‐Jen Chang,Sophie Wang,Richard L. Thompson,Nancy J. Benz,Ignacio H. Sanchez Flores
摘要
The control of genotoxic impurities (GTIs) is a crucial activity that is performed for any new chemical entity intended for clinical use. A key element of this is the quality risk assessment. This article seeks to examine the primary components of such a strategy, focusing specifically on the effective use of in silico assessment tools to augment this process, in particular the calculation of theoretical purge factors based on the physicochemical properties of a specific GTI and its interrelationship to the process.
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