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Computational Toxicology
book

Computational Toxicology

by Sean Ekins
February 2018
Intermediate to advanced
432 pages
13h 20m
English
Wiley
Content preview from Computational Toxicology

Chapter 2Quantum Mechanics Approaches in Computational Toxicology

Jakub Kostal

Chemistry Department, The George Washington University, Washington DC, USA

2.1 Translating Computational Chemistry to Predictive Toxicology

Computational chemistry has made impressive strides over the past two decades. We can now use it to study organic and enzymatic reactions; assess viability of molecular mechanisms; propose novel inhibitors of biological targets in computerized drug discovery; and even attempt de novo design of macromolecules with novel functionalities. To this end, substantial research efforts have been devoted in recent years to adapting and applying methodology from computational chemistry to predictive toxicology. These efforts have yielded powerful new descriptors of molecular events that can be applied to many types of predictive statistical models.

The descriptors we obtain from computational models are molecular properties and the changes that result in the course of a (bio)chemical event. They are influenced by model size (the extent of system representation), level of theory (the rigor of the method), and by system dynamics (evolution of the system to mimic real-life conditions). ...

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Publisher Resources

ISBN: 9781119282563Purchase book