220,67 €
245,19 €
-10% with code: EXTRA
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
220,67
245,19 €
  • We will send in 10–14 business days.
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…
  • Publisher:
  • ISBN-10: 0128015055
  • ISBN-13: 9780128015056
  • Format: 19.1 x 23.5 x 2.5 cm, softcover
  • Language: English
  • SAVE -10% with code: EXTRA

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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.

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  • Author: Kunal Roy
  • Publisher:
  • ISBN-10: 0128015055
  • ISBN-13: 9780128015056
  • Format: 19.1 x 23.5 x 2.5 cm, softcover
  • Language: English English

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.

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