Arkaprava Banerjee: q-RASAR
q-RASAR
Buch
- A Path to Predictive Cheminformatics
- Springer Nature Switzerland, 01/2024
- Einband: Kartoniert / Broschiert, Paperback
- Sprache: Englisch
- ISBN-13: 9783031520563
- Bestellnummer: 11746035
- Umfang: 104 Seiten
- Nummer der Auflage: 24001
- Auflage: 1st ed. 2024
- Gewicht: 172 g
- Maße: 235 x 155 mm
- Stärke: 7 mm
- Erscheinungstermin: 26.1.2024
- Serie: SpringerBriefs in Molecular Science
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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. Arkaprava Banerjee, Kunal Roy
q-RASAR
EUR 49,28*