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portada Q-Rasar: A Path to Predictive Cheminformatics
Type
Physical Book
Author
Publisher
Language
English
Pages
91
Format
Paperback
Dimensions
23.4 x 15.6 x 0.6 cm
Weight
0.16 kg.
ISBN13
9783031520563
Categories

Q-Rasar: A Path to Predictive Cheminformatics

Kunal Roy (Author) · Arkaprava Banerjee (Author) · Springer · Paperback

Q-Rasar: A Path to Predictive Cheminformatics - Roy, Kunal ; Banerjee, Arkaprava

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Synopsis "Q-Rasar: A Path to Predictive Cheminformatics"

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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