Artemenko A G, Muratov E N, Kuz'min V E, Kovdienko N A, Hromov A I, Makarov V A, Riabova O B, Wutzler P, Schmidtke M
A.V. Bogatsky Physical-Chemical Institute, Lustdorfskaya doroga 86, Odessa, Ukraine.
J Antimicrob Chemother. 2007 Jul;60(1):68-77. doi: 10.1093/jac/dkm172. Epub 2007 Jun 5.
The objectives of this study were (i) to apply computer-based technologies to evaluate the structure of 48 N,N'-(bis-5-nitropyrimidyl)dispirotripiperazines which belong to a new class of highly active antiviral compounds binding to cell surface heparan sulphates, (ii) to understand the chemical- biological interactions governing their activities, and (iii) to design new compounds with strong antiviral activity.
The logarithm of 50% cytotoxic concentration (CC(50)) in GMK cells, of 50% inhibitory concentration (IC(50)) against herpes simplex virus type 1, and of selectivity index (SI = CC(50)/IC(50)) was used to develop quantitative structure-activity relationships (QSARs) based on simplex representation of molecular structure. The QSAR model was applied to design new compounds. Two of these compounds were synthesized, physico-chemically characterized and tested for cytotoxicity and antiviral activity.
Statistic characteristics for partial least squares models allow the prediction of CC(50), IC(50) and SI values. The QSAR results demonstrate a high impact of individual structural fragments for antiviral activity. Molecular fragments that promote and interfere with antiviral activity were defined on the basis of the obtained models. Electrostatic factors (38%) and hydrophobicity (34%) were the most important determinants of antiherpetic activity. Using the established method, new potential dispirotripiperazine derivatives were computationally designed. Two of these computationally designed compounds were synthesized. The biological test results confirm the computationally predicted values of these compounds.
The established QSAR model is suitable for the design of new antiherpetic compounds and prediction of their activity.
本研究的目的是:(i)应用基于计算机的技术评估48种N,N'-(双-5-硝基嘧啶基)双螺三哌嗪的结构,这些化合物属于一类新型的与细胞表面硫酸乙酰肝素结合的高活性抗病毒化合物;(ii)了解控制其活性的化学-生物学相互作用;(iii)设计具有强抗病毒活性的新化合物。
使用GMK细胞中50%细胞毒性浓度(CC50)的对数、针对单纯疱疹病毒1型的50%抑制浓度(IC50)以及选择性指数(SI = CC50/IC50),基于分子结构的单纯形表示来建立定量构效关系(QSARs)。将QSAR模型应用于设计新化合物。合成了其中两种化合物,对其进行了物理化学表征,并测试了细胞毒性和抗病毒活性。
偏最小二乘模型的统计特征允许预测CC50、IC50和SI值。QSAR结果表明单个结构片段对抗病毒活性有很大影响。根据所得模型确定了促进和干扰抗病毒活性的分子片段。静电因素(38%)和疏水性(34%)是抗疱疹活性的最重要决定因素。使用既定方法,通过计算设计了新的潜在双螺三哌嗪衍生物。合成了其中两种通过计算设计的化合物。生物学测试结果证实了这些化合物的计算预测值。
建立的QSAR模型适用于设计新的抗疱疹化合物并预测其活性。