In Silico Methods for Predicting Drug Toxicity

Knowledge Source Identification
Knowledge source name In Silico Methods for Predicting Drug Toxicity
Owner/Developer Springer Science+Business Media New York
Country United States of America
Languages English
URL http://www.springer.com/gp/book/9781493936076
Description This detailed volume explores in silico methods for pharmaceutical toxicity by combining the theoretical advanced research with the practical application of the tools. Beginning with a section covering sophisticated models addressing the binding to receptors, pharmacokinetics and adsorption, metabolism, distribution, and excretion, the book continues with chapters delving into models for specific toxicological and ecotoxicological endpoints, as well as broad views of the main initiatives and new perspectives which will very likely improve our way of modelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that is key for achieving successful research results. Authoritative and practical, In Silico Methods for Predicting Drug Toxicity offers the advantage of incorporating data and knowledge from different fields, such as chemistry, biology, -omics, and pharmacology, to achieve goals in this vital area of research.
Knowledge Source Category
Category Publication
Sub categories Book / Textbook
Knowledge Dissemination and Sharing
Dissemination channel Website, Printed
Targeted audience (specified/objective analysis) Scientists, Researchers
Users access Fee-based access
Knowledge Characterization
3Rs relevance Replacement, Reduction
Purpose Regulatory testing, Toxicological and safety evaluation, Education and training, Documentation and information
Technology/Tools Non-testing methods (in silico)