Based on the Lectures given during the Eurocourse on `Practical Applications of Quantitative Structure-Activity (QSAR) in Environmental Chemistry and Toxicology' held at the Joint Research Centre Ispra, Italy, June 11--15, 1990

Structure-Activity Relationships in Environmental Science is the first book of its kind that brings together information from a variety of sources into one document. It provides a comprehensive overview of the entire field of quantitative structure-activity relationships (QSARs) as well as being a reference for SAR experts. The book comprises three parts. Part One covers the theoretical background of structure-activity studies and Part Two deals with the practical applications of such methods in the environmental sciences. Part Three critically discusses SAR models with respect to their reliability and their aptness in environmental hazard and risk assessment. Recommendations are made as to which model to use and the case is presented for using QSARs in hazard assessment. The use of QSARs is becoming increasingly important since there is little experimental data available on environmentally relevant chemicals. Structure-Activity Relationships in Environmental Sciences will thus serve as an invaluable guide to both postgraduate and research scientists as well as professional ecologists.

Finding the new remedy for a certain disease: an inspired goal. QSAR, an invaluable tool in drug design, aids scientists to attain this aim. This book is a long-awaited comprehensive text to QSAR and related approaches. It provides a practice-oriented introduction to the theory, methods and analyses for QSAR relationships, including modelling-based and 3D approaches. Hugo Kubinyi is a leading expert in QSAR. Readers will benefit from the author's 20 years of practical experience, from his careful calculations and recalculations of thousands of QSAR equations. Among the topics covered are: - physiocochemical parameters - quantitative models - statistical methods - Hansch analysis - Free Wilson analysis - 3D-QSAR approaches The book can readily be used as a textbook due to its high didactic value and numerous examples (over 200 equations and 1100 references).

In recent years many developments have taken place in promote co-operation between governments and other the field of risk assessment of chemicals. Many reports parties involved in chemical safety and to provide policy have been published by national authorities, industries guidance with emphasis on regional and subregional co and scientific researchers as well as by international bod operation. The Inter-Organization Programme for the ies such as the European Union, the Organization of Sound Management of Chemicals (IOMC) was estab Economic Cooperation and Development (OECD) and lished in 1995 and provides a mechanism for the six par the joint International Programme on Chemical Safety ticipating organizations (UNEP, ILO, FAO, UNIDO,WHO (IPCS) of the World Health Organization (WHO), the and OECD) to better co-ordinate policies and activities in International Labour Organization (lLO), and the United the field of chemical risk management. Nations Environment Programme (UNEP). The present book is an introduction to risk assessment of The development and international harmonization of risk chemicals. It contains basic background information on assessment methods is an important challenge. In sources, emissions, distribution and fate processes for Agenda 21 of the United Nations Conference on exposure estimation. It includes dose-effects estimation Environment and Development (UNCED), chapter 19 is for both human health related toxicology and ecotoxicol entirely devoted to the management of chemicals. For ogy as well as information on estimation methodologies. one of its recommendations, i. e.

Based on the Lectures given during the Eurocourse on `Applied Multivariate Analysis in SAR and Environmental Studies' held at the Joint Research Centre, Ispra, Italy, June 24-28, 1991

As the 21st century approaches, there is little doubt that the tools and resources are available to unlock all the secrets of Quantitative Structure-Activity Relationships (QSAR) in order to design more efficient drugs and safer chemicals. The comparison QSAR models provide are a key to reach a deep understanding of the foundation and a better optimisation of the use of these statistical tools. Seeking out the similarities and differences among QSAR Models allows the user to estimate their simulation performances, find chemo-taxonomical links, and uncover In vivo/In Vitro relationships. The purpose of this book is to highlight the multifaceted aspect of the term "comparative QSAR" by bringing together QSAR experts of various origins and allowing them to offer their views on this diverse subject.