Download q-RASAR: A Path to Predictive Cheminformatics 2024

q-RASAR: A Path to Predictive Cheminformatics book pdf download and 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.

eBook details
  • Author (s): Kunal Roy, Arkaprava Banerjee
  • Year of publication: 2024
  • Publisher: Springer
  • Writing language: English
  • ISBN: 9783031520563, 9783031520570, 3031520564
  • Number of pages: 99 pages
  • Book format: PDF
  •  File size: 1.5 MB
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