Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment - 1st Edition - ISBN: 9780128015056, 9780128016336

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

1st Edition

Authors: Kunal Roy Supratik Kar Rudra Narayan Das
eBook ISBN: 9780128016336
Paperback ISBN: 9780128015056
Imprint: Academic Press
Published Date: 3rd March 2015
Page Count: 484
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Description

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.

Key Features

  • 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

Readership

New researchers, professors and graduate students across the pharmaceutical sciences (including pharmacology, toxicology and medicinal chemistry); secondary audience of regulatory officials and risk assessors in toxicology and environmental health

Table of Contents

  • Dedication
  • Foreword
  • References
  • Preface
  • Chapter 1. Background of QSAR and Historical Developments
    • 1.1 Introduction
    • 1.2 Physicochemical Aspects of Biological Activity of Drugs and Chemicals
    • 1.3 Structure–Activity Relationship
    • 1.4 Historical Development of QSARs: A Journey of Knowledge Enrichment
    • 1.5 Applications of QSAR
    • 1.6 Regulatory Perspectives of QSAR
    • 1.7 Overview and Conclusion
    • References
  • Chapter 2. Chemical Information and Descriptors
    • 2.1 Introduction
    • 2.2 Concept of Descriptors
    • 2.3 Type of Descriptors
    • 2.4 Descriptors Commonly Used in QSAR Studies
    • 2.5 Overview and Conclusion
    • References
  • Chapter 3. Classical QSAR
    • 3.1 Introduction
    • 3.2 The Free–Wilson Model
    • 3.3 The Fujita–Ban Model
    • 3.4 The LFER Model
    • 3.5 Kubinyi’s Bilinear Model
    • 3.6 The Mixed Approach
    • 3.7 Overview and Conclusions
    • References
  • Chapter 4. Topological QSAR
    • 4.1 Introduction
    • 4.2 Topology: A Method of Chemical Structure Representation
    • 4.3 Graphs and Matrices: Platforms for the Topological Paradigm
    • 4.4 Topological Indices
    • 4.5 Conclusion and Possibilities
    • References
  • Chapter 5. Computational Chemistry
    • 5.1 Introduction
    • 5.2 Computer Use in Chemistry
    • 5.3 Conformational Analysis and Energy Minimization
    • 5.4 Molecular Mechanics
    • 5.5 Molecular Dynamics
    • 5.6 Quantum Mechanics
    • 5.7 Overview and Conclusion
    • References
  • Chapter 6. Selected Statistical Methods in QSAR
    • 6.1 Introduction
    • 6.2 Regression-Based Approaches
    • 6.3 Classification-Based QSAR
    • 6.4 Machine Learning Techniques
    • 6.5 Conclusion
    • References
  • Chapter 7. Validation of QSAR Models
    • 7.1 Introduction
    • 7.2 Different Validation Methods
    • 7.3 A Practical Example of the Calculation of Common Validation Metrics and the AD
    • 7.4 QSAR model reporting format
    • 7.5 Overview and Conclusion
    • References
  • Chapter 8. Introduction to 3D-QSAR
    • 8.1 Introduction
    • 8.2 Comparative Molecular Field Analysis
    • 8.3 Comparative Molecular Similarity Indices Analysis
    • 8.4 Molecular Shape Analysis
    • 8.5 Receptor Surface Analysis
    • 8.6 Other Approaches
    • 8.7 Overview and Conclusions
    • References
  • Chapter 9. Newer QSAR Techniques
    • 9.1 Introduction
    • 9.2 HQSAR
    • 9.3 G-QSAR
    • 9.4 Other Approaches
    • 9.5 Overview and Conclusions
    • References
  • Chapter 10. Other Related Techniques
    • 10.1 Introduction
    • 10.2 Pharmacophore
    • 10.3 Structure-Based Design–Docking
    • 10.4 Combination of Structure- and Ligand-Based Design Tools
    • 10.5 In Silico Screening of Chemical Libraries: VS
    • 10.6 Overview and Conclusions
    • References
  • Chapter 11. SAR and QSAR in Drug Discovery and Chemical Design—Some Examples
    • 11.1 Introduction
    • 11.2 Successful Applications of QSAR and Other In Silico Methods: Representative Examples
    • 11.3 Conclusion
    • References
  • Chapter 12. Future Avenues
    • 12.1 Introduction
    • 12.2 Application Areas
    • 12.3 Conclusion
    • References
  • Index

Details

No. of pages:
484
Language:
English
Copyright:
© Academic Press 2015
Published:
Imprint:
Academic Press
eBook ISBN:
9780128016336
Paperback ISBN:
9780128015056

About the Author

Kunal Roy

Affiliations and Expertise

Associate Professor, Drug Theoretics and Cheminformatics Lab, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India

Supratik Kar

Affiliations and Expertise

MPharm, Researcher, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India

Rudra Narayan Das

Affiliations and Expertise

MPharm, Researcher, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India

Reviews

"... a handy reference for beginners in this field.  Score: 62 - 2 Stars" --Doody's