2020
DOI: 10.1016/j.yrtph.2020.104807
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Management of pharmaceutical ICH M7 (Q)SAR predictions – The impact of model updates

Abstract: Pharmaceutical applicants conduct (Q)SAR assessments on identified and theoretical impurities to predict their mutagenic potential. Two complementary models—one rule-based and one statistical-based—are used, followed by expert review. (Q)SAR models are continuously updated to improve predictions, with new versions typically released on a yearly basis. Numerous releases of (Q)SAR models will occur during the typical 6–7 years of drug development until new drug registration. Therefore, it is important to underst… Show more

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Cited by 21 publications
(3 citation statements)
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“…In these cases, the Q(SAR) approach is of vital importance. (Q)SAR models make predictions of biological activity based on structural components [37]. This approach is vital during the early stages of searching for potentially active drug substances.…”
Section: Genotoxicitymentioning
confidence: 99%
“…In these cases, the Q(SAR) approach is of vital importance. (Q)SAR models make predictions of biological activity based on structural components [37]. This approach is vital during the early stages of searching for potentially active drug substances.…”
Section: Genotoxicitymentioning
confidence: 99%
“…In these cases, the Q(SAR) approach is of vital importance. (Q)SAR models make predictions of biological activity based on structural components [55]. (Q)SAR models are especially vital during the early stages of searching for potentially active drug substances.…”
Section: Genotoxicity Of 1-14mentioning
confidence: 99%
“…ICH M7 recommends that bacterial mutagenicity should be assessed using two QSAR methodologies, namely, by expert rule-based and statistics-based methodologies. The prediction accuracy of QSAR tools is improved by increasing the number of training sets and modifying algorithms [ 2 , 3 ]. However, the mutagenicity of several structures, such as aromatic amines, is still difficult to predict when using QSAR tools [ 4 , 5 ].…”
Section: Introductionmentioning
confidence: 99%