Cosentino Ugo, Pitea Demetrio, Moro Giorgio, Saracino Gloria A A, Caria Pietro, Varì Rosaria M, Colombo Laura, Forloni Gianluigi, Tagliavini Fabrizio, Salmona Mario
Dipartimento di Scienze dell'Ambiente e del Territorio, Università degli Studi di Milano-Bicocca, Milan, Italy.
J Mol Model. 2008 Oct;14(10):987-94. doi: 10.1007/s00894-008-0348-2. Epub 2008 Jul 16.
There is evidence that Tetracyclines are potentially useful drugs to treat prion disease, the fatal neurodegenerative disease in which cellular prion proteins change in conformation to become a disease-specific species (PrP(Sc)). Based on an in vitro anti-fibrillogenesis test, and using the peptide PrP106-126 in the presence of tetracycline and 14 derivatives, we carried out a three-dimensional quantitative structure-activity relationship (3D-QSAR) study to investigate the stereoelectronic features required for anti-fibrillogenic activity. A preliminary variable reduction technique was used to search for grid points where statistical indexes of interaction potential distributions present local maximum (or minimum) values. Variable selection genetic algorithms were then used to search for the best 3D-QSAR models. A 6-variable model showed the best predictability of the anti-fibrillogenic activity that highlighted the best tetracycline substitution patterns: hydroxyl group presence in positions 5 and 6, electrodonor substituents on the aromatic D-ring, alkylamine substituent at the amidic group in position 2 and non-epi configuration of the NMe2 group.
有证据表明,四环素是治疗朊病毒病的潜在有用药物,朊病毒病是一种致命的神经退行性疾病,其中细胞朊病毒蛋白的构象发生变化,成为疾病特异性物种(PrP(Sc))。基于体外抗纤维生成试验,并在四环素和14种衍生物存在的情况下使用肽PrP106 - 126,我们进行了三维定量构效关系(3D - QSAR)研究,以研究抗纤维生成活性所需的立体电子特征。使用一种初步的变量约简技术来搜索相互作用势分布的统计指标呈现局部最大值(或最小值)的网格点。然后使用变量选择遗传算法来搜索最佳的3D - QSAR模型。一个6变量模型显示出对抗纤维生成活性的最佳预测能力,突出了最佳的四环素取代模式:5位和6位存在羟基、芳香族D环上有供电子取代基、2位酰胺基处有烷基胺取代基以及NMe2基团的非表位构型。