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Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment

Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment

Kunal Roy
Copyright: © 2015 |Pages: 703
ISBN13: 9781466681361|ISBN10: 1466681365|EISBN13: 9781466681378
DOI: 10.4018/978-1-4666-8136-1
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MLA

Roy, Kunal, editor. Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment. IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8136-1

APA

Roy, K. (Ed.). (2015). Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment. IGI Global. https://doi.org/10.4018/978-1-4666-8136-1

Chicago

Roy, Kunal, ed. Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8136-1

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Quantitative structure-activity relationships (QSARs) represent predictive models derived from the application of statistical tools correlating biological activity or other properties of chemicals with descriptors representative of molecular structure and/or property.

Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment discusses recent advancements in the field of QSARs with special reference to their application in drug development, predictive toxicology, and chemical risk analysis. Focusing on emerging research in the field, this book is an ideal reference source for industry professionals, students, and academicians in the fields of medicinal chemistry and toxicology.

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Front Materials
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Title Page
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Copyright Page
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Advances in Chemical and Materials Engineering (ACME) Book Series
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Editorial Advisory Board and List of Reviewers
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Foreword
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Preface
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Acknowledgment
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Chapters
Back Materials
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Compilation of References
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About the Contributors
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Index
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