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Frontiers in Bioscience
Article . 2014 . Peer-reviewed
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In silico predictions of genotoxicity for aromatic amines

Authors: Jorg, Bentzien; Ingo, Muegge;

In silico predictions of genotoxicity for aromatic amines

Abstract

Insufficient drug safety is one of the major reasons for failure of drug candidates in Phase II and Phase III clinical trials. Determining toxicity early during the drug discovery process can help lower the attrition rate in clinical trials and lead to significant cost savings. In silico approaches can help to prioritize large numbers of compounds quickly and cost effectively in the early phase of drug discovery. One form of toxicity is genotoxicity due to mutagenicity. In this paper different in silico approaches for predicting mutagenicity, in particular in primary aromatic amines, are reviewed.

Keywords

Mutagenicity Tests, Humans, Computer Simulation, Amines, Mutagens

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold