What is it about?
This is an update to an earlier volume published a decade ago. The focus is on all different computational approaches to computational toxicology. It provides a much needed update on the current status of the different methods.
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Why is it important?
Hazard assessment is increasingly getting attention and computational approaches have advanced along with increasing data in the public domain.
Perspectives
A new generation of scientists working on computational toxicology is coming through and so the timing was also good to highlight their work. 14 chapters covers a diverse array of topics from machine learning to open data for toxicology.
Dr Sean Ekins
Collaborations in Chemistry
Read the Original
This page is a summary of: Computational Toxicology, February 2018, Wiley,
DOI: 10.1002/9781119282594.
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