Computational Toxicology || Expert Systems
โ Scribed by Ekins, Sean
- Book ID
- 119956500
- Publisher
- John Wiley & Sons, Inc.
- Year
- 2007
- Tongue
- English
- Weight
- 227 KB
- Edition
- 1
- Category
- Article
- ISBN
- 0470049626
No coin nor oath required. For personal study only.
โฆ Synopsis
A comprehensive analysis of state-of-the-art molecular modeling approaches and strategies applied to risk assessment for pharmaceutical and environmental chemicals
This unique volume describes how the interaction of molecules with toxicologically relevant targets can be predicted using computer-based tools utilizing X-ray crystal structures or homology, receptor, pharmacophore, and quantitative structure activity relationship (QSAR) models of human proteins. It covers the in vitro models used, newer technologies, and regulatory aspects. The book offers a complete systems perspective to risk assessment prediction, discussing experimental and computational approaches in detail, with:
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An introduction to toxicology methods and an explanation of computational methods
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In-depth reviews of QSAR methods applied to enzymes, transporters, nuclear receptors, and ion channels
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Sections on applying computers to toxicology assessment in the pharmaceutical industry and in the environmental arena
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Chapters written by leading international experts
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Figures that illustrate computational models and references for further information
This is a key resource for toxicologists and scientists in the pharmaceutical industry and environmental sciences as well as researchers involved in ADMET, drug discovery, and technology and software development.
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## ลฝ . A hybrid expert system prototype using artificial neural networks ANN and classical rules has been developed for predicting toxicology of compounds. Modularity was a must for the architecture of the system. The study of chemicals was approached by establishing classes. When appropriate desc
A comprehensive analysis of state-of-the-art molecular modeling approaches and strategies applied to risk assessment for pharmaceutical and environmental chemicals This unique volume describes how the interaction of molecules with toxicologically relevant targets can be predicted using computer-bas