Computational Toxicology: Risk Assessment for Pharmaceutical and Environmental Chemicals
Material type:
- 9780470049624
- 615.9001 COM
Item type | Current library | Item location | Collection | Call number | Status | Date due | Barcode | Item holds | |
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NIMA Knowledge Centre | 6th Floor Silence Zone | Reference | 615.9001 COM (Browse shelf(Opens below)) | Not For Loan | P0005178 |
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615.9 PIL Modern Medical Toxicology | 615.9 REI Nanotoxicity: Methods and Protocols | 615.9 TOX Toxicological Risk Assessment for Beginners | 615.9001 COM Computational Toxicology: Risk Assessment for Pharmaceutical and Environmental Chemicals | 615.9003 ENC Encyclopedia of Toxicology Vol. 1 | 615.9003 ENC Encyclopedia of Toxicology Vol. 2 | 615.9003 ENC Encyclopedia of Toxicology Vol. 3 |
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:An introduction to toxicology methods and an explanation of computational methods,In-depth reviews of QSAR methods applied to enzymes, transporters, nuclear receptors, and ion channels, Sections on applying computers to toxicology assessment in the pharmaceutical industry and in the environmental arena, Chapters written by leading international experts, 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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