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Anotace knihy

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.

Parametry knihy

• Plný název: q-RASAR
• Podnázev: A Path to Predictive Cheminformatics
• Autor: Kunal Roy, Arkaprava Banerjee
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 115
• EAN: 9783031520563
• ID: 44568537
• Nakladatelství: Springer, Berlin
• Rozměry: 235 × 155 mm
• Datum vydání: 23. April 2024

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