Models for prediction of anti- HIV-1 activity of 5-Alkyl-2-alkylamino-6-(2,6-difluorophenylalkyl)-3,4-dihydropyrimidin-4(3H)-ones using random forest, decision tree and moving average analysis
Rohit Dutt, Harish Dureja, А. К. Мадан · Journal of Computational Methods in Sciences and Engineering · 2009
In the present study, an in silico approach using decision tree, random forest and moving average analysis has been applied to a data set comprising of 53 analogues of 5-alkyl-2-alkylamino-6-(2,6-difluorophenylalkyl)-3,4-dihydropyrimidin-4(3$H$)-one