Li Zhiliang S, Sun Jiaying Y, Liang Guizhao Z, Lu Fenglin L, Zhu Wanping P, Zhang Mengjun J, Zhang Yonghong, Yang Shanbin B, Shu Mao, Chen Guohua H, Lu Tingting T
College of Bioengineering, Chongqing University, Chongqing 400044, China.
Chem Biol Drug Des. 2009 Feb;73(2):236-43. doi: 10.1111/j.1747-0285.2008.00767.x.
Influenza is a major respiratory infection associated with significant morbidity in the general population and mortality in elderly and high-risk patients. It is an RNA virus that contains two major surface glycoproteins, neuraminidase and hemagglutinin. These proteins are essential for infection. Neuraminidase has been found to be a potential target to control influenza virus. Here, we have developed three-dimensional holographic vector of atomic interaction field analysis as a new method of quantitative structure-activity relationships for different sets of compounds to understand chemical-biological interactions governing their activities toward influenza neuraminidase. Good results, R = 0.885, SD = 0.848, R(CV) = 0.858 (the maximum) and SD(CV) = 0.934 (the minimum), showed that holographic vector of atomic interaction field analysis can be applicable to molecular structural characterization and biological activity prediction and quantitative structure-activity relationship model had favorable stability and prediction capability.
流感是一种主要的呼吸道感染疾病,在普通人群中会引发较高的发病率,在老年人和高危患者中会导致死亡。它是一种RNA病毒,包含两种主要的表面糖蛋白,即神经氨酸酶和血凝素。这些蛋白质对于感染至关重要。神经氨酸酶已被发现是控制流感病毒的一个潜在靶点。在此,我们开发了三维全息原子相互作用场分析向量,作为一种针对不同化合物集的定量构效关系新方法,以了解支配其对流感神经氨酸酶活性的化学 - 生物相互作用。良好的结果,R = 0.885,SD = 0.848,R(CV) = 0.858(最大值)和SD(CV) = 0.934(最小值),表明原子相互作用场分析的全息向量可应用于分子结构表征和生物活性预测,并且定量构效关系模型具有预测能力。