q-RASAR : A Path to Predictive Cheminformatics EPUB
by Kunal Roy, Arkaprava Banerjee
Part of the SpringerBriefs in Molecular Science series
EPUB
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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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- Format:EPUB
- Publisher:Springer Nature Switzerland
- Publication Date:25/01/2024
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- ISBN:9783031520570
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- Paperback / softback from £30.43
Information
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Download Now
- Format:EPUB
- Publisher:Springer Nature Switzerland
- Publication Date:25/01/2024
- Category:
- ISBN:9783031520570
