Téléchargez le livre : q-RASAR

q-RASAR

A Path to Predictive Cheminformatics de

,

Éditeur :

Springer


Paru le : 2024-01-25

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Description

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.
Pages
91 pages
Collection
n.c
Parution
2024-01-25
Marque
Springer
EAN papier
9783031520563
EAN PDF
9783031520570
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
2417 Ko
Prix
52,74 €
EAN EPUB
9783031520570
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
6881 Ko
Prix
52,74 €

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