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612-822-4611
Q-Rasar: A Path to Predictive Cheminformatics

Q-Rasar: A Path to Predictive Cheminformatics

Paperback

Series: Springerbriefs in Molecular Science

BiologyChemistryPhysics

ISBN10: 3031520564
ISBN13: 9783031520563
Publisher: Springer
Published: Jan 26 2024
Pages: 91
Weight: 0.35
Height: 0.22 Width: 6.14 Depth: 9.21
Language: English

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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