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

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by Kunal Roy & Supratik Kar & Rudra Narayan Das
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Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment by Kunal Roy & Supratik Kar & Rudra Narayan Das

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.

  • Includes numerous practical examples related to QSAR methods and applications
  • Follows the Organization for Economic Co-operation and Development principles for QSAR model development
  • Discusses related techniques such as structure-based design and the combination of structure- and ligand-based design tools
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    Ebook Details
    Pages: 484
    Size: 23.0 MB
    Publisher: Academic Press
    Date published:   2015
    ISBN: 2370006506140 (DRM-EPUB)
    9780128016336 (DRM-PDF)

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This product is listed in the following categories:

Nonfiction > Medical > Pharmacy
Nonfiction > Medical > Pharmacology
Nonfiction > Science > Chemistry > Computational & Molecular Modeling

These authors have products in the following categories:

Nonfiction > Technology > Engineering > Chemical & Biochemical
Nonfiction > Medical > Pharmacology
Nonfiction > Medical > Toxicology
Fiction > Science Fiction
Fiction > Science Fiction > Adventure
Fiction > Science Fiction > High Tech
Nonfiction > Medical > Pharmacy
Nonfiction > Science > Chemistry > Computational & Molecular Modeling

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