q-RASAR : A Path to Predictive Cheminformatics Paperback / softback
by Kunal Roy, Arkaprava Banerjee
Part of the SpringerBriefs in Molecular Science series
Paperback / softback
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.
Information
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Out of stock
- Format:Paperback / softback
- Pages:91 pages, 17 Illustrations, color; 3 Illustrations, black and white; X, 91 p. 20 illus., 17 illus. i
- Publisher:Springer International Publishing AG
- Publication Date:26/01/2024
- Category:
- ISBN:9783031520563
Information
-
Out of stock
- Format:Paperback / softback
- Pages:91 pages, 17 Illustrations, color; 3 Illustrations, black and white; X, 91 p. 20 illus., 17 illus. i
- Publisher:Springer International Publishing AG
- Publication Date:26/01/2024
- Category:
- ISBN:9783031520563
