Molecular modeling and QSAR studies of a set of indole and benzimidazole derivatives as H4 receptor antagonists

被引:10
作者
Fernandes, Joao Paulo S. [1 ]
Pasqualoto, Kerly Fernanda M. [1 ]
Ferreira, Elizabeth I. [1 ]
Brandt, Carlos A. [2 ]
机构
[1] Univ Sao Paulo, Lab Planejamento & Sintese Quimioterapicos Potenc, Fac Ciencias Farmaceut, BR-05508900 Sao Paulo, Brazil
[2] Inst Butantan, BR-05503900 Sao Paulo, Brazil
关键词
Antiinflammatory agents; Asthma; H-4 receptor antagonists; Molecular modeling; QSAR; Rational drug design; GENETIC FUNCTION APPROXIMATION; QUANTITATIVE STRUCTURE; HISTAMINE; INHIBITORS; POTENT;
D O I
10.1007/s00894-010-0779-4
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Histamine is an important biogenic amine, which acts with a group of four G-protein coupled receptors (GPCRs), namely H-1 to H-4 (H1R - H4R) receptors. The actions of histamine at H4R are related to immunological and inflammatory processes, particularly in pathophysiology of asthma, and H4R ligands having antagonistic properties could be helpful as antiinflammatory agents. In this work, molecular modeling and QSAR studies of a set of 30 compounds, indole and benzimidazole derivatives, as H4R antagonists were performed. The QSAR models were built and optimized using a genetic algorithm function and partial least squares regression (WOLF 5.5 program). The best QSAR model constructed with training set (N = 25) presented the following statistical measures: r (2) = 0.76, q (2) = 0.62, LOF = 0.15, and LSE = 0.07, and was validated using the LNO and y-randomization techniques. Four of five compounds of test set were well predicted by the selected QSAR model, which presented an external prediction power of 80%. These findings can be quite useful to aid the designing of new anti-H-4 compounds with improved biological response.
引用
收藏
页码:921 / 928
页数:8
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