Advances in QSAR Modeling

Applications in Pharmaceutical, Chemical, Food, Agricultural and Environmental Sciences

Nonfiction, Science & Nature, Science, Chemistry, Physical & Theoretical, Health & Well Being, Medical, Specialties, Pharmacy
Cover of the book Advances in QSAR Modeling by , Springer International Publishing
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Author: ISBN: 9783319568508
Publisher: Springer International Publishing Publication: May 22, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319568508
Publisher: Springer International Publishing
Publication: May 22, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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