Chemical Toxicity Prediction
Category Formation and Read-Across
The aim of this book is to provide the scientific background to using the formation of chemical categories, or groups, of molecules to allow for read-across i.e. the prediction of toxicity from chemical structure. It covers the scientific basis for this approach to toxicity prediction including the methods to group compounds (structural analogues and / or similarity, mechanism of action) and the tools to achieve this. The approaches to perform read-across within a chemical category are also described. Chemical Toxicity Prediction provides concise practical guidance for those wishing to apply these methods (in risk / hazard assessment) and wil…
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Produktdetails
Weitere Autoren: Cronin, Mark / Enoch, Steven / Madden, Judith
- ISBN: 978-1-84973-440-0
- EAN: 9781849734400
- Produktnummer: 36244012
- Verlag: Royal Society Of Chemistry
- Sprache: Englisch
- Erscheinungsjahr: 2013
- Seitenangabe: 288 S.
- Plattform: PDF
- Masse: 0 KB
Über den Autor
Mark Cronin is a Professor of Predictive Toxicology at Liverpool John Moores University, and has over 20 years of experience in the development of in silico approaches to predict toxicity including the use of QSAR, and read-across. He has published three books and over 160 papers in these areas. Judith Madden is a reader in Molecular Design at Liverpool John Moores University and has over 15 years experience in the application of QSAR and in silico techniques to predict the ADMET properties of xenobiotics. She has published one book and over 40 papers in these areas. Steven Enoch is a Post-Doctoral Research Fellow in Predictive Toxicology at Liverpool John Moores University. He is internationally recognised for his research in mechanistic categorisation for toxicology.
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