Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment
Nonfiction, Health & Well Being, Medical, Medical Science, Pharmacology, Computers
| Author: | Kunal Roy, Supratik Kar, Rudra Narayan Das | ISBN: | 9780128016336 |
| Publisher: | Elsevier Science | Publication: | March 3, 2015 |
| Imprint: | Academic Press | Language: | English |
| Author: | Kunal Roy, Supratik Kar, Rudra Narayan Das |
| ISBN: | 9780128016336 |
| Publisher: | Elsevier Science |
| Publication: | March 3, 2015 |
| Imprint: | Academic Press |
| Language: | 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.
- 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
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
