Predictive Toxicology

Buch | Hardcover

520 Seiten

2005
Crc Press Inc (Verlag)
978-0-8247-2397-2 (ISBN)

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Offering an overview of techniques and systems utilized in predictive toxicology, this reference presents an in-depth survey of strategies, algorithms, and prediction methods to select, calculate, and represent the features and properties of chemical structures in biological systems.

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.

Christoph Helma, University of Freiburg, Germany

A Brief Introduction to Predictive Toxicology. Description and Representation of Chemicals. Computational Biology and Toxicogenomics. Toxicological Information for Use in Predictive Modeling: Quality, Sources, and Databases. The Use of Expert Systems for Toxicology Risk Prediction. Regression- and Projection-Based Approaches in Predictive Toxicology. Machine Learning and Data Mining. Neural Networks and Kernel Machines for Vector and Structured Data. Applications of Substructure-Based SAR in Toxicology. OncoLogic: A Mechanism-Based Expert System for Predicting the Carcinogenic Potential of Chemicals. META: An Expert System for the Prediction of Metabolic Transformations. MC4PC—An Artificial Intelligence Approach to the Discovery of Quantitative Structure-Toxic Activity Relationships. PASS: Prediction of Biological Activity Spectra for Substances. Lazar: Lazy Structure-Activity Relationships for Toxicity Prediction. Index.

Erscheint lt. Verlag	17.3.2005
Zusatzinfo	27 Tables, black and white; 36 Illustrations, color; 74 Illustrations, black and white
Verlagsort	Bosa Roca
Sprache	englisch
Maße	152 x 229 mm
Gewicht	952 g
Themenwelt	Studium ► 2. Studienabschnitt (Klinik) ► Pharmakologie / Toxikologie
	Naturwissenschaften ► Biologie ► Biochemie
	Naturwissenschaften ► Chemie
ISBN-10	0-8247-2397-X / 082472397X
ISBN-13	978-0-8247-2397-2 / 9780824723972
Zustand	Neuware