Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment

Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment
Author: Kunal Roy
Publisher: Academic Press
Total Pages: 494
Release: 2015-03-03
Genre: Medical
ISBN: 0128016337


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Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment describes the historical evolution of quantitative structure-activity relationship (QSAR) approaches and their fundamental principles. This book includes clear, introductory coverage of the statistical methods applied in QSAR and new QSAR techniques, such as HQSAR and G-QSAR. Containing real-world examples that illustrate important methodologies, this book identifies QSAR as a valuable tool for many different applications, including drug discovery, predictive toxicology and risk assessment. Written in a straightforward and engaging manner, this is the ideal resource for all those looking for general and practical knowledge of QSAR methods. Includes numerous practical examples related to QSAR methods and applications Follows the Organization for Economic Co-operation and Development principles for QSAR model development Discusses related techniques such as structure-based design and the combination of structure- and ligand-based design tools


Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment
Language: en
Pages: 494
Authors: Kunal Roy
Categories: Medical
Type: BOOK - Published: 2015-03-03 - Publisher: Academic Press

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Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment describes the historical evolution of quantitative structure-ac
Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment
Language: en
Pages: 727
Authors: Roy, Kunal
Categories: Technology & Engineering
Type: BOOK - Published: 2015-02-28 - Publisher: IGI Global

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Quantitative structure-activity relationships (QSARs) represent predictive models derived from the application of statistical tools correlating biological activ
A Primer on QSAR/QSPR Modeling
Language: en
Pages: 129
Authors: Kunal Roy
Categories: Science
Type: BOOK - Published: 2015-04-11 - Publisher: Springer

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This brief goes back to basics and describes the Quantitative structure-activity/property relationships (QSARs/QSPRs) that represent predictive models derived f
Three Dimensional QSAR
Language: en
Pages: 0
Authors: Jean-Pierre Doucet
Categories:
Type: BOOK - Published: 2019-10-21 - Publisher:

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With numerous examples and more than 1,000 references, this book presents the most recent QSAR methods and illustrates their scope, advantages, and limitations.
Computational Toxicology
Language: en
Pages: 855
Authors: Sean Ekins
Categories: Science
Type: BOOK - Published: 2007-06-30 - Publisher: John Wiley & Sons

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A comprehensive analysis of state-of-the-art molecular modeling approaches and strategies applied to risk assessment for pharmaceutical and environmental chemic