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q-RASAR: A Path to Predictive Cheminformatics by Kunal Roy 9783031520563

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Description

This brief offers an introduction to the fascinating new field of quantitative read-across structure-activity relationships (q-RASAR) as a cheminformatics modeling approach in the background of quantitative structure-activity relationships (QSAR) and read-across (RA) as data gap-filling methods. It discusses the genesis and model development of q-RASAR models demonstrating practical examples. It also showcases successful case studies on the application of q-RASAR modeling in medicinal chemistry, predictive toxicology, and materials sciences. The book also includes the tools used for q-RASAR model development for new users. It is a valuable resource for researchers and students interested in grasping the development algorithm of q-RASAR models and their application within specific research domains.




Book Information
ISBN 9783031520563
Author Kunal Roy
Format Paperback
Page Count 91
Imprint Springer International Publishing AG
Publisher Springer International Publishing AG

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