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

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

Kunal Roy

Understanding the Basics of OSAR for Applications in Pharmaceutical Sciences and Risk Assessment provides an introduction to the historical evolution of quantitative structure-activity relationship (OSAR) approaches and their fundamental principles. With its clear and practical coverage of the statistical methods applied in OSAR and new OSAR techniques, such as HOSAR and G-OSAR, this book focuses on making this valuable computational tool more accessible to students, professors and new researchers across the pharmaceutical sciences and risk assessment. This is the ideal resource for all those seeking general and practical knowledge of OSAR methods.

Roy K, Kar S, Das RN, Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment, Academic Press

7.64 MB Taille du fichier
9780128015056 ISBN
Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment.pdf

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The role of chemistry in developing understanding of adverse outcome pathways and their application in risk assessment. Steve Gutsell * and Paul Russell Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire MK44 1LQ, UK.

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Mattio Müllers

Quantitative Structure-Activity Relationship (QSAR) has proved an invaluable tool in medicinal chemistry. Data availability ... Understanding the basics of QSAR for applications in pharmaceutical sciences and risk assessment. Academic Press ...

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Noels Schulzen

Quantitative structure–activity relationship models (QSAR models) are regression or classification models used in the chemical and biological sciences and engineering. Like other regression models, QSAR regression models relate a set of "predictor" variables (X) to the potency of the response variable (Y), while classification QSAR models relate the predictor variables to a categorical value

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Jason Leghmann

Summary of a workshop on regulatory acceptance … Roy K, Kar S and Das R (2015) Validation of QSAR Models Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment, 10.1016/B978-0 …

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Jessica Kolhmann

Validation of QSAR Models | Request PDF