Title:QSAR Analysis of 6-Fluoro-3-(4H- 1,2,4-triazol-3-yl)quinolin-4(1H)-ones as Antileukemic Agents using Physicochemical and Alignment Independent Topological Based Descriptors
VOLUME: 15 ISSUE: 7
Author(s):Yan Wang, Qin Zhou, Li Wang and Jun-Jie Ma*
Affiliation:Department of Hematology, Yantai Yuhuangding Hospital, Yantai, Shan Dong, 264000, Department of Pediatric Hematology, Yantai Yuhuangding Hospital, Yantai, Shan Dong, 264000, Department of Hematology, Yantai Yuhuangding Hospital, Yantai, Shan Dong, 264000, Department of Hematology, Yantai Yuhuangding Hospital, Yantai, Shan Dong, 264000
Keywords:Multiple regression analysis, HL60 human leukemic cell line, 2D-QSAR, triazolylquinolin-4(1H)-one, blood cancer,
antileukemic agents.
Abstract:Background: 6-Fluoro-3-(4H-1,2,4-triazol-3-yl)quinolin-4(1H)-ones are potential antileukemic
agents.
Method: QSAR analysis of a series of previously synthesized 6-fluoro-3-(4H- 1,2,4-triazol-3-yl)quinolin-
4(1H)-ones (tested for their inhibitory activity against blood cancer) as analogues of fluoroquinolone, was
performed with the aid of multiple regression analysis. This could facilitate the exploration of features
responsible for the selectivity of the antileukemic activity against HL60 (Human promyelocytic leukemia
cell line) among this congeneric series. Using random selection method, 25 analogues of the series
were selected as training set while 12 analogues of 6-Fluoro-3-(4H-1,2,4-triazol-3-yl)quinolin-
4(1H)-one were taken as test set for current investigation. Inhibitory Concentration (IC50) values were
used to build statistical models with the help of physicochemical and topological descriptors.
Results: QSAR equations were developed and they worked well for all the predictions. QSAR models
were validated by doing cross validation.
Conclusion: The derived model has the capability to predict the activity of new compounds as well as
it can also quantitatively explain the critical region to be focused in the molecule.
