q-RASAR: A Path to Predictive Cheminformatics (1st ed. 2024) (SpringerBriefs in Molecular Science)
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- Synopsis
- 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.
- Copyright:
- 2024
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031520570
- Related ISBNs:
- 9783031520563
- Publisher:
- Springer Nature Switzerland
- Date of Addition:
- 01/25/24
- Copyrighted By:
- The Author
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.