کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4765462 1423859 2016 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Data ArticleDataset of curcumin derivatives for QSAR modeling of anti cancer against P388 cell line
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
Data ArticleDataset of curcumin derivatives for QSAR modeling of anti cancer against P388 cell line
چکیده انگلیسی

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, r2 value, r2(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 r2 values of 0.88 were obtained for the test set.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Data in Brief - Volume 9, December 2016, Pages 573-578
نویسندگان
, , , , ,