Advances in QSAR Modeling: Applications in Pharmaceutical, Chemical, Food, Agricultural and Environmental Sciences: 24 (Challenges and Advances in Computational Chemistry and Physics, 24) - Softcover

Softcover

ISBN 10: 3319860186 ISBN 13: 9783319860183

Publisher: Springer, 2018

Synopsis

The book covers theoretical background and methodology as well as all current applications of Quantitative Structure-Activity Relationships (QSAR). Written by an international group of recognized researchers, this edited volume discusses applications of QSAR in multiple disciplines such as chemistry, pharmacy, environmental and agricultural sciences addressing data gaps and modern regulatory requirements. Additionally, the applications of QSAR in food science and nanoscience have been included – two areas which have only recently been able to exploit this versatile tool.

 

This timely addition to the series is aimed at graduate students, academics and industrial scientists interested in the latest advances and applications of QSAR.

About this title

About the Author

Prof. Dr. Kunal Roy is a Professor of the Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology Jadavpur University, Kolkata India. He was previously a Marie Curie International Incoming Fellow and Commonwealth Academic Staff Fellow at the University of Manchester, UK. Prof. Roy has published over 240 articles in peer reviewed journals, two books, one edited book as well as ten book chapters.

From the Back Cover

The book covers theoretical background and methodology as well as all current applications of Quantitative Structure-Activity Relationships (QSAR). Written by an international group of recognized researchers, this edited volume discusses applications of QSAR in multiple disciplines such as chemistry, pharmacy, environmental and agricultural sciences addressing data gaps and modern regulatory requirements. Additionally, the applications of QSAR in food science and nanoscience have been included – two areas which have only recently been able to exploit this versatile tool.

This timely addition to the series is aimed at graduate students, academics and industrial scientists interested in the latest advances and applications of QSAR.

Edition details

• Publisher: Springer
• Publication date: 2018
• Language: English
• ISBN 10: 3319860186
• ISBN 13: 9783319860183
• Binding: Paperback
• Number of pages: 565
• Editor: Roy Kunal