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Principles and procedures for handling out-of-domain and indeterminate results as part of ICH M7 recommended (Q)SAR analyses

机译:作为ICH M7推荐(Q)SAR分析的域名和不确定结果的原则和程序作为ICH M7的一部分

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摘要

The International Council for Harmonization (ICH) M7 guideline describes a hazard assessment process for impurities that have the potential to be present in a drug substance or drug product. In the absence of adequate experimental bacterial mutagenicity data, (Q)SAR analysis may be used as a test to predict impurities' DNA reactive (mutagenic) potential. However, in certain situations, (Q)SAR software is unable to generate a positive or negative prediction either because of conflicting information or because the impurity is outside the applicability domain of the model. Such results present challenges in generating an overall mutagenicity prediction and highlight the importance of performing a thorough expert review. The following paper reviews pharmaceutical and regulatory experiences handling such situations. The paper also presents an analysis of proprietary data to help understand the likelihood of misclassifying a mutagenic impurity as non-mutagenic based on different combinations of (Q)SAR results. This information may be taken into consideration when supporting the (Q)SAR results with an expert review, especially when out-of-domain results are generated during a (Q)SAR evaluation.
机译:国际协调理事会(ICH)M7指南介绍了杂质的危害评估过程,其杂质具有潜力以药物物质或药物产品存在。在没有足够的实验性细菌诱变数据的情况下,(Q)SAR分析可以用作预测杂质DNA反应性(诱变)电位的测试。然而,在某些情况下,(Q)SAR软件由于信息冲突或因为杂质超出了模型的适用性域而无法生成正或负预测。这种结果在产生整体突变性预测方面存在挑战,并突出表现彻底专家审查的重要性。以下纸质评论药品和监管体验处理此类情况。本文还提出了专有数据的分析,以帮助了解将诱变杂质的可能性基于(Q)SAR结果的不同组合错误分类为非诱变。当支持(Q)SAR结果时,可以考虑该信息进行专家审查,尤其是在(Q)SAR评估期间生成域名结果时。

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