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Q-Rasar: A Path to Predictive Cheminformatics (en Inglés)
Kunal Roy
(Autor)
·
Arkaprava Banerjee
(Autor)
·
Springer
· Tapa Blanda
Q-Rasar: A Path to Predictive Cheminformatics (en Inglés) - Roy, Kunal ; Banerjee, Arkaprava
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Reseña del libro "Q-Rasar: A Path to Predictive Cheminformatics (en Inglés)"
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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