Description

Book Synopsis
Quantitative Structure-Activity Relationships (QSARs) are increasingly used to predict the harmful effects of chemicals to humans and the environment. The increased use of these methods in a variety of areas (academic, industrial, regulatory) results from a realization that very little toxicological or fate data is available on the vast amount of chemicals to which humans and the environment are exposed.Predicting Chemical Toxicity and Fate provides a comprehensive explanation of the state-of-the-art methods that are available to predict the effects of chemicals on humans and the environment. It describes the use of predictive methods to estimate the physiochemical properties, biological activities, and fate of chemicals. The methods described may be used to predict the properties of drugs before their development, and to predict the environmental effects of chemicals. These methods also reduce the cost of product development and the need for animal testing.This book fills an obvious need by providing a comprehensive explanation of these prediction methods. It is a practical book that illustrates the use of these techniques in real life scenarios. This book will demystify QSARs for those students unsure of them, and professionals in environmental toxicology and chemistry will find this a useful reference in their everyday working lives.

Trade Review

"This book provides a comprehensive explanation of the state-of-the-art methods that are available to predict the effects of chemicals on humans and the environment. … The book fills an obvious need by providing a comprehensive explanation of these prediction methods. It is a practical book that illustrates the use of these techniques in real life scenarios. It will demystify QSARs for those students unsure of the them, and professionals in environmental toxicology and chemistry will find this a useful reference in their everyday working lives."
- International Pest Control, Vol. 47, No. 2, March/April 2005


"The authors and editors have done a fine job in presenting a well balanced view of the early development, current status and future uses of predictive models/(Q)SARs for use in both human health assessments and environmental assessments. … Anyone interested in predictive modelling of mammalian toxicity and environmental effects should consider this book … ."
- BTS Newsletter, Winter 2004, Issue 25

"This choice [of contributors] provides a refreshing outlook on certain topics… we learn what research has been done, what needs most to be done, and why successes have been limited. This is exactly the sort of state-of-the-art description an overview volume should provide."
- Journal of Medicinal Chemistry, Vol. 48, No. 13, 2005



Table of Contents

Introduction. Methodology. QSARs for Human Health Endpoints. QSARs for Environmental Toxicity and Fate Part. Application.

Predicting Chemical Toxicity and Fate

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A Hardback by Mark T.D. Cronin

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    View other formats and editions of Predicting Chemical Toxicity and Fate by Mark T.D. Cronin

    Publisher: Taylor & Francis Ltd
    Publication Date: 10/05/2004
    ISBN13: 9780415271806, 978-0415271806
    ISBN10: 0415271800

    Description

    Book Synopsis
    Quantitative Structure-Activity Relationships (QSARs) are increasingly used to predict the harmful effects of chemicals to humans and the environment. The increased use of these methods in a variety of areas (academic, industrial, regulatory) results from a realization that very little toxicological or fate data is available on the vast amount of chemicals to which humans and the environment are exposed.Predicting Chemical Toxicity and Fate provides a comprehensive explanation of the state-of-the-art methods that are available to predict the effects of chemicals on humans and the environment. It describes the use of predictive methods to estimate the physiochemical properties, biological activities, and fate of chemicals. The methods described may be used to predict the properties of drugs before their development, and to predict the environmental effects of chemicals. These methods also reduce the cost of product development and the need for animal testing.This book fills an obvious need by providing a comprehensive explanation of these prediction methods. It is a practical book that illustrates the use of these techniques in real life scenarios. This book will demystify QSARs for those students unsure of them, and professionals in environmental toxicology and chemistry will find this a useful reference in their everyday working lives.

    Trade Review

    "This book provides a comprehensive explanation of the state-of-the-art methods that are available to predict the effects of chemicals on humans and the environment. … The book fills an obvious need by providing a comprehensive explanation of these prediction methods. It is a practical book that illustrates the use of these techniques in real life scenarios. It will demystify QSARs for those students unsure of the them, and professionals in environmental toxicology and chemistry will find this a useful reference in their everyday working lives."
    - International Pest Control, Vol. 47, No. 2, March/April 2005


    "The authors and editors have done a fine job in presenting a well balanced view of the early development, current status and future uses of predictive models/(Q)SARs for use in both human health assessments and environmental assessments. … Anyone interested in predictive modelling of mammalian toxicity and environmental effects should consider this book … ."
    - BTS Newsletter, Winter 2004, Issue 25

    "This choice [of contributors] provides a refreshing outlook on certain topics… we learn what research has been done, what needs most to be done, and why successes have been limited. This is exactly the sort of state-of-the-art description an overview volume should provide."
    - Journal of Medicinal Chemistry, Vol. 48, No. 13, 2005



    Table of Contents

    Introduction. Methodology. QSARs for Human Health Endpoints. QSARs for Environmental Toxicity and Fate Part. Application.

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