Three dimensional QSAR
applications in pharmacology and toxicology
by Jean-Pierre Doucet
"Experiencing rapid growth over the last 15 years, quantitative structure-activity relationships (QSAR) continue to evolve quickly with an explosion of new tools and techniques. These techniques now play an increasing role in drug design and chemical risk assessment. New molecular descriptors based on three-dimensional structures incorporate a range of classical approaches, including regression and PLS analysis, as well as new nonlinear approaches, such as neural networks and support vector machines. Three-Dimensional QSAR addresses the scope and limitations of different modeling techniques using case studies from pharmacology, toxicology, and ecotoxicology to demonstrate the utility of each technique"--Provided by publisher.
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Subjects
Pharmaceutical Preparations, Chemistry, QSAR (Biochemistry), Drugs, Molecular Models, Poisons, Drug Design, Molecular Conformation, Methodology, Toxicology, Research, Quantitative Structure-Activity Relationship, Pharmaceutical chemistry, Drugs, design, Drugs, toxicology, Pharmacology, Design, Relations structure-activité quantitatives (Biochimie), Médicaments, Recherche, Méthodologie, Toxicologie, Conception, MEDICAL| Edition | Availability |
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Three dimensional QSAR: applications in pharmacology and toxicology
2010, CRC Press
in English
1420091158 9781420091151
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Three Dimensional QSAR: Applications in Pharmacology and Toxicology
2010, Taylor & Francis Group
in English
0429144970 9780429144974
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Includes bibliographical references and index.
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| December 15, 2022 | Edited by MARC Bot | import existing book |
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