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- W3036906327 abstract "Whereas in the past, (Q)SAR methods have been largely used to support the design of new drugs, in the last few decades, there has been a new interest in its applications for the assessment of drug safety. In particular, the ICH M7 guideline has introduced the concept that (Q)SAR predictions for the Ames mutagenicity of drug impurities can be used for regulatory purposes.This review introduces the ICH M7 conceptual framework and illustrates the most updated evaluations of the in silico approaches for the prediction of genotoxicity. The strengths and weaknesses of the state-of-the-art are presented and future perspectives are discussed.Given the growing recognition of (Q)SAR approaches, more investment will be devoted to its improvement. The major areas of research should be the expansion and curation of the experimental training sets, with particular attention to the portions of chemical space which are poorly represented. New modeling methodologies (e.g. machine-learning methods) may support this effort, particularly for treating proprietary data without disclosure. Research on new integrative approaches for regulatory decisions will also be important." @default.
- W3036906327 created "2020-06-25" @default.
- W3036906327 creator A5054954217 @default.
- W3036906327 creator A5071869142 @default.
- W3036906327 creator A5084913709 @default.
- W3036906327 date "2020-06-28" @default.
- W3036906327 modified "2023-10-16" @default.
- W3036906327 title "<i>In silico</i> models for genotoxicity and drug regulation" @default.
- W3036906327 cites W1076385124 @default.
- W3036906327 cites W1487233798 @default.
- W3036906327 cites W1504479009 @default.
- W3036906327 cites W1970202530 @default.
- W3036906327 cites W1972292978 @default.
- W3036906327 cites W1977340881 @default.
- W3036906327 cites W1983936159 @default.
- W3036906327 cites W1986284826 @default.
- W3036906327 cites W1987629972 @default.
- W3036906327 cites W1988242038 @default.
- W3036906327 cites W2004365852 @default.
- W3036906327 cites W2011330059 @default.
- W3036906327 cites W2011350023 @default.
- W3036906327 cites W2021663692 @default.
- W3036906327 cites W2027108859 @default.
- W3036906327 cites W2032097454 @default.
- W3036906327 cites W2033757486 @default.
- W3036906327 cites W2041005506 @default.
- W3036906327 cites W2046699212 @default.
- W3036906327 cites W2052226480 @default.
- W3036906327 cites W2058915131 @default.
- W3036906327 cites W2065040712 @default.
- W3036906327 cites W2075007582 @default.
- W3036906327 cites W2087390252 @default.
- W3036906327 cites W2113306279 @default.
- W3036906327 cites W2117856769 @default.
- W3036906327 cites W2118633304 @default.
- W3036906327 cites W2126502671 @default.
- W3036906327 cites W2129974599 @default.
- W3036906327 cites W2140625493 @default.
- W3036906327 cites W2144981148 @default.
- W3036906327 cites W2152629484 @default.
- W3036906327 cites W2166378641 @default.
- W3036906327 cites W2201940595 @default.
- W3036906327 cites W2220892016 @default.
- W3036906327 cites W2257011728 @default.
- W3036906327 cites W2260822508 @default.
- W3036906327 cites W2328014372 @default.
- W3036906327 cites W2334266062 @default.
- W3036906327 cites W2345882966 @default.
- W3036906327 cites W2406493898 @default.
- W3036906327 cites W2468294892 @default.
- W3036906327 cites W2491430868 @default.
- W3036906327 cites W2510097481 @default.
- W3036906327 cites W2511269386 @default.
- W3036906327 cites W251312096 @default.
- W3036906327 cites W2564915626 @default.
- W3036906327 cites W2570479605 @default.
- W3036906327 cites W2615369240 @default.
- W3036906327 cites W2620335490 @default.
- W3036906327 cites W2745612654 @default.
- W3036906327 cites W2749264138 @default.
- W3036906327 cites W2753588101 @default.
- W3036906327 cites W2782274678 @default.
- W3036906327 cites W2782999090 @default.
- W3036906327 cites W2799297366 @default.
- W3036906327 cites W2808918867 @default.
- W3036906327 cites W2809050932 @default.
- W3036906327 cites W2884187428 @default.
- W3036906327 cites W2886996669 @default.
- W3036906327 cites W2890765209 @default.
- W3036906327 cites W2893154128 @default.
- W3036906327 cites W2894387335 @default.
- W3036906327 cites W2896397475 @default.
- W3036906327 cites W2898098684 @default.
- W3036906327 cites W2898471311 @default.
- W3036906327 cites W2904006674 @default.
- W3036906327 cites W2904763666 @default.
- W3036906327 cites W2905888178 @default.
- W3036906327 cites W2924574416 @default.
- W3036906327 cites W2950049799 @default.
- W3036906327 cites W2950480439 @default.
- W3036906327 cites W2974928461 @default.
- W3036906327 cites W2978750824 @default.
- W3036906327 cites W3007523597 @default.
- W3036906327 cites W3010753903 @default.
- W3036906327 cites W3011161038 @default.
- W3036906327 cites W3018627081 @default.
- W3036906327 cites W4231571199 @default.
- W3036906327 cites W4252693454 @default.
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- W3036906327 doi "https://doi.org/10.1080/17425255.2020.1785428" @default.
- W3036906327 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32567390" @default.
- W3036906327 hasPublicationYear "2020" @default.
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