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q-RASAR

A Path to Predictive Cheminformatics

Language EnglishEnglish
Book Paperback
Book q-RASAR Kunal Roy
Libristo code: 44568537
Publishers Springer, Berlin, April 2024
This brief offers an introduction to the fascinating new field of quantitative read-across structure... Full description
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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.

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About the book

Full name q-RASAR
Language English
Binding Book - Paperback
Date of issue 2024
Number of pages 115
EAN 9783031520563
Libristo code 44568537
Publishers Springer, Berlin
Weight 159
Dimensions 155 x 235
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