A DFT-based QSAR study on inhibition of human dihydrofolate reductase

被引:17
|
作者
Karabulut, Sedat [1 ]
Sizochenko, Natalia [2 ]
Orhan, Adnan [3 ]
Leszczynski, Jerzy [2 ]
机构
[1] Balikesir Univ, Fac Sci & Literature, Dept Chem, TR-10145 Balikesir, Turkey
[2] Jackson State Univ, Dept Chem & Biochem, Interdisciplinary Nanotox Ctr, Jackson, MS 39217 USA
[3] Uludag Univ, Dept Obstet & Gynaecol, Sch Med, Gorukle Kampusu, TR-16120 Bursa, Turkey
基金
美国国家科学基金会;
关键词
Dihydrofolate reductase; Diaminopyrimidine; DFT; Descriptors; QSAR; QSARins; NEURAL-NETWORKS; PNEUMOCYSTIS-CARINII; POTENT INHIBITORS; DERIVATIVES; TRIAZINES; ANALOGS; COMPLEX; FUTURE; MODEL;
D O I
10.1016/j.jmgm.2016.09.005
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Diaminopyrimidine derivatives are frequently used as inhibitors of human dihydrofolate reductase, for example in treatment of patients whose immune system are affected by human immunodeficiency virus. Forty-seven dicyclic and tricyclic potential inhibitors of human dihydrofolate reductase were analyzed using the quantitative structure-activity analysis supported by DFT-based and DRAGON-based descriptors. The developed model yielded an RMSE deviation of 1.1 a correlation coefficient of 0.81. The prediction set was characterized by R-2 = 0.60 and RMSE = 3.59. Factors responsible for inhibition process were identified and discussed. The resulting model was validated via cross validation and Y-scrambling procedure. From the best model, we found several mass-related descriptors and Sanderson electronegativity-related descriptors that have the best correlations with the investigated inhibitory concentration. These descriptors reflect results from QSAR studies based on characteristics of human dihydrofolate reductase inhibitors. (C) 2016 Published by Elsevier Inc.
引用
收藏
页码:23 / 29
页数:7
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