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Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk AssessmentBy Kunal Roy
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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.
- Sales Rank: #10371028 in Books
- Published on: 2015-02-28
- Original language: English
- Number of items: 1
- Dimensions: 11.02" h x 1.56" w x 8.50" l, 4.31 pounds
- Binding: Hardcover
- 727 pages
Review
This is a unique resource for professionals interested in the QSAR field. It includes exceptional discussions of topics related to drug design, predictive toxicology, risk assessment, antioxidants, nanomaterials, and it is an important resource on QSAR studies using CORAL software. It provides a unique perspective on the future of this field. --Hemantkumar Chavan, Ph.D., University of Kansas Medical Center
About the Author
Kunal Roy is an Associate Professor in the Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India, and Fellow in the Manchester Institute of Biotechnology, University of Manchester, United Kingdom. He is an Associate Editor of the Springer journal, Molecular Diversity, and a member of the Editorial Advisory Board of European Journal of Medicinal Chemistry (Elsevier). The field of his research interest is QSAR and Molecular Modeling. Dr. Roy has published more than 200 research papers in refereed journals.
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