q-RASAR
| Autor: | Banerjee, Arkaprava Roy, Kunal |
|---|---|
| EAN: | 9783031520563 |
| Auflage: | 001 |
| Sachgruppe: | Chemie |
| Sprache: | Englisch |
| Seitenzahl: | 104 |
| Produktart: | Kartoniert / Broschiert |
| Veröffentlichungsdatum: | 26.01.2024 |
| Untertitel: | A Path to Predictive Cheminformatics |
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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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