We have located links that may give you full text access.
Dataset of curcumin derivatives for QSAR modeling of anti cancer against P388 cell line.
Data in Brief 2016 December
The dataset of curcumin derivatives consists of 45 compounds (Table 1) with their anti cancer biological activity (IC50) against P388 cell line. 45 curcumin derivatives were used in the model development where 30 of these compounds were in the training set and the remaining 15 compounds were in the test set. The development of the QSAR model involved the use of the multiple linear regression analysis (MLRA) method. Based on the method, r(2) value, r(2)(CV) value of 0.81, 0.67 were obtained. The QSAR model was also employed to predict the biological activity of compounds in the test set. Predictive correlation coefficient r(2) values of 0.88 were obtained for the test set.
Full text links
Related Resources
Trending Papers
A Systematic Review of Subclinical Hyperthyroidism Guidelines: a Remarkable Range of Recommendations.European Thyroid Journal 2024 May 2
Nutrition in the intensive care unit: from the acute phase to beyond.Intensive Care Medicine 2024 May 22
2024 update in heart failure.ESC Heart Failure 2024 May 29
Sodium-glucose co-transporter protein 2 (SGLT2) inhibitors for people with chronic kidney disease and diabetes.Cochrane Database of Systematic Reviews 2024 May 22
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app