Computational Toxicology
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Computational Toxicology: Chapter 2. Quantitative Structure-Activity Relationship (QSAR) Models, Physiologically Based Pharmacokinetic (PBPK) Models, Biologically Based Dose Response (BBDR) and...
By Patricia Ruiz, Xiaoxia Yang, Annie LumenCronin MT, Walker JD, Jaworska JS, Comber MH, Watts CD, Worth AP. Use of QSARs in international decisionmaking frameworks to predict ecologic effects and environmental fate of chemical substances. Environ Health Perspect.
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Computational Toxicology: Chapter 7. Computational Translation of Nonmammalian Species Data to Mammalian Species to Meet REACH and Next Generation Risk...
By Edward J. Perkins, Natàlia Garcia-ReyeroArbeitman MN, Furlong E, Imam F, Johnson E. Gene expression during the life cycle of Drosophila melanogaster. Science. 2002;297:2270–2275. Dennis G, Sherman BT, Hosack DA, et al. DAVID: Database for annotation, visualization, ...
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Computational Toxicology: Risk Assessment for Pharmaceutical and Environmental Chemicals
By Sean EkinsThe 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 ...
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Computational Toxicology: Methods and Applications for Risk Assessment
By Bruce A. FowlerThis book is authored by leading international investigators who have real-world experience in relating computational toxicology methods to risk assessment.
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Computational Toxicology: Risk Assessment for Chemicals
By Sean EkinsThe book begins with an introduction to toxicology and relevant technologies and then addresses the most advanced currently available molecular-modelling software and its role in toxicity testing.
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Computational Toxicology: Chapter 13. Future Directions for Computational Toxicology for Risk Assessment
By Bruce A. FowlerAs in many fields of scientific endeavor, computational toxicology represents a broad and expanding group of activities.
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Computational Toxicology: Chapter 1. Introduction
By Bruce A. FowlerThis book is intended to be an introduction to various applications of computational toxicology and to show how these approaches are currently being used effectively for risk assessment purposes in the near term.
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Computational Toxicology: Chapter 10. Computational Toxicology Experience and Applications for Risk Assessment in the Pharmaceutical Industry
By Nigel Greene, Mark GosinkInitial predictive efforts have focused on using compound structure to predict toxicity. This work has led to a number of successes in the ability to predict genotoxicity and carcinogenicity.
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Computational Toxicology: Chapter 12. Translation of Computational Model Results for Risk Decisions
By Bruce A. Fowler, William MendezThe focus of the chapter is on the development and application of computational toxicology methods to human risk assessment.
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Computational Toxicology
By Brad Reisfeld, Arthur N. MayenoOpening with an introduction to the field of computational toxicology and its current and potential applications, the volume continues with ’best practices’ in mathematical and computational modeling, followed by chemoinformatics and ...
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Computational Toxicology
By Brad Reisfeld, Arthur N. MayenoOpening with an introduction to the field of computational toxicology and its current and potential applications, the volume continues with ’best practices’ in mathematical and computational modeling, followed by chemoinformatics and ...
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Computational Toxicology: Chapter 6. Computational Translation and Integration of Test Data to Meet Risk Assessment Goals
By Luis G. ValerioThis chapter describes some methods in computational toxicology and how to integrate experimental data with computational assessments for supporting risk assessment.
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Computational Toxicology: Risk Assessment for Chemicals
By Sean EkinsA key resource for toxicologists across a broad spectrum of fields, this book offers a comprehensive analysis of molecular modelling approaches and strategies applied to risk assessment for pharmaceutical and environmental chemicals.
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Computational Toxicology
By Brad Reisfeld, Arthur N. MayenoSystems toxicology approaches are also introduced. The volume closes with primers and background on some of the key mathematical and statistical methods covered earlier, as well as a list of other resources.
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Computational Toxicology: Chapter 3. Multiple Chemical Exposures and Risk Assessment
By John C. Lipscomb, Nikki Maples-Reynolds, Moiz MumtazHumans are exposed to chemicals through voluntary and involuntary actions; to natural and synthetic chemicals all day, every day.
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Computational Toxicology: Chapter 9. Uses of Publicly Available Data in Risk Assessment
By Isaac Warren, Eftim SorinaIn the meantime, further work is required to quantify the uncertainty associated with high-throughput screening (HTS) data, collect and analyze further exposure data, and organize and evaluate new data from different sources across the ...
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Computational Toxicology: Methods and Protocols
By Orazio NicolottiThis volume explores techniques that are currently used to understand solid target-specific models in computational toxicology.
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Computational Toxicology: Chapter 4. Modeling of Sensitive Subpopulations and Interindividual Variability in Pharmacokinetics for Health Risk Assessments
By Paul White, Kannan Krishnan, Brooks McPhailMany health risk assessments develop exposure limits for chemicals, intended to protect the general population, including sensitive subpopulations.
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Computational Toxicology: Chapter 11. Omics Biomarkers in Risk Assessment: A Bioinformatics Perspective
By Roger Perkins, Bruce A. Fowler, Huixiao HongCurrent advances in genomics, proteomics, and metabolomics are widely anticipated to translate in the future to a constellation of benefits in human health.
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Computational Toxicology: Volume II
By Brad Reisfeld, Arthur N. MayenoSystems toxicology approaches are also introduced. The volume closes with primers and background on some of the key mathematical and statistical methods covered earlier, as well as a list of other resources.