摘要
The support vector machine, as a novel type of learning machine, for the first time, was used to develop a QSAR model of 57 analogues of ethyl 2-[(3-methyl-2,5-dioxo(3-pyrrolinyl))amino]-4-(trifluoromethyl)pyrimidine-5-carb oxylate (EPC), an inhibitor of AP-1 and NF-/κB mediated gene expression, based on calculated quantum chemical parameters. The quantum chemical parameters involved in the model are Kier and Hall index (order3) (KHI3), Information content (order 0) (ICO), YZ Shadow (YZS) and Max partial charge for an N atom (MaxPCN), Min partial charge for an N atom (MinPCN). The mean relative error of the training set, the validation set, and the testing set is 1.35%, 1.52%, and 2.23%, respectively, and the maximum relative error is less than 5.00%.
| 原文 | English |
|---|---|
| 頁(從 - 到) | 1288-1296 |
| 頁數 | 9 |
| 期刊 | Journal of Chemical Information and Computer Sciences |
| 卷 | 43 |
| 發行號 | 4 |
| DOIs | |
| 出版狀態 | Published - 7月 2003 |
| 對外發佈 | 是 |
指紋
深入研究「QSAR study of ethyl 2-[(3-methyl-2,5-dioxo(3-pyrrolinyl))amino]-4-(trifluoromethyl) pyrimidine-5-carboxylate: An inhibitor of Ap-1 and NF-/κB mediated gene expression based on support vector machines」主題。共同形成了獨特的指紋。引用此
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