A comprehensive overview of techniques and systems currently utilized in predictive toxicology, this reference presents an in-depth survey of strategies to characterize chemical structures and biological systems—covering prediction methods and algorithms, sources of high-quality toxicity data, the most important commercial and noncommercial predictive toxicology programs, and advanced technologies in computational chemistry and biology, statistics, and data mining.
Predictive Toxicology
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First Sentence:
The public demand for the protection of human and environmental health has led to the establishment of toxicology as the science of the action of chemicals on biological systems. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
projected carcinogenic potency, basal potency, biological activity spectra, predicting chemical toxicity, carcinogenicity concern, projected potency, biological activity spectrum, predictive toxicology, mutagenicity database, coexpressed genes, structural arm, toxicology systems, frequent pattern discovery, genetic network inference, toxicological phenomena, automated structure evaluation, mechanistic toxicology, predicting carcinogenic potential, heterogeneous datasets, structural alerts, carcinogenic potency database, untested compounds, toxicological activity, margin hyperplane, congeneric series Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Chem Inf Comput Sci, Marcel Dekker, Mutation Res, Boca Raton, United States, Mutat Res, Springer Verlag, Environ Res, Proc Natl Acad Sci, Environmental Protection Agency, Morgan Kaufmann, Academic Press, Comput Biol, Inact Inact, National Toxicology Program, Environ Toxicol Chem, Naive Bayes, Nat Genet, Pac Symp Biocomput, Toxicol Lett, Artif Intell, Cancer Res, Chemical Induction of Cancer, International Conference New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The public demand for the protection of human and environmental health has led to the establishment of toxicology as the science of the action of chemicals on biological systems. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
projected carcinogenic potency, basal potency, biological activity spectra, predicting chemical toxicity, carcinogenicity concern, projected potency, biological activity spectrum, predictive toxicology, mutagenicity database, coexpressed genes, structural arm, toxicology systems, frequent pattern discovery, genetic network inference, toxicological phenomena, automated structure evaluation, mechanistic toxicology, predicting carcinogenic potential, heterogeneous datasets, structural alerts, carcinogenic potency database, untested compounds, toxicological activity, margin hyperplane, congeneric series Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Chem Inf Comput Sci, Marcel Dekker, Mutation Res, Boca Raton, United States, Mutat Res, Springer Verlag, Environ Res, Proc Natl Acad Sci, Environmental Protection Agency, Morgan Kaufmann, Academic Press, Comput Biol, Inact Inact, National Toxicology Program, Environ Toxicol Chem, Naive Bayes, Nat Genet, Pac Symp Biocomput, Toxicol Lett, Artif Intell, Cancer Res, Chemical Induction of Cancer, International Conference New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 64
books:
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11
books
cite this book:
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- Machine Learning by Tom M. Mitchell on 5 pages
- Predicting Chemical Toxicity and Fate by Mark T.D. Cronin on 4 pages
- Handbook of Carcinogenic Potency and Genotoxicity Databases by Lois Swirsky Gold on page 365, page 366, and page 497
- Learning in Graphical Models (Adaptive Computation and Machine Learning) by Michael I. Jordan on page 86, and page 170
- Applications of Uncertainty Formalisms (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Anthony Hunter on page 172, and page 174
See all 64 books this book cites
- Dermal Absorption Models in Toxicology and Pharmacology by Jim E. Riviere on page 131, and page 133
- Text Mining for Biology And Biomedicine by Sophia Ananiadou on page 244
- Machine Learning and Data Mining in Pattern Recognition: Third International Conference, MLDM 2003, Leipzig, Germany, July 5-7, 2003, proceedings ... / Lecture Notes in Artificial Intelligence) by Petra Perner on page 130
- Inductive Logic Programming: 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Stefan Kramer on page 207
- Knowledge Exploration in Life Science Informatics: International Symposium KELSI 2004, Milan, Italy, November 25-26, 2004, Proceedings (Lecture Notes ... / Lecture Notes in Artificial Intelligence) by Jesús A. López on page 220
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