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Principal component analysis on molecular descriptors as an alternative point of view in the search of new Hsp90 inhibitors

机译:在寻找新的Hsp90抑制剂时,可以对分子描述符进行主成分分析,作为另一种观点

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Inhibiting a protein that regulates multiple signal transduction pathways in cancer cells is an attractive goal for cancer therapy. Heat shock protein 90 (Hsp90) is one of the most promising molecular targets for such an approach. In fact, Hsp90 is a ubiquitous molecular chaperone protein that is involved in folding, activating and assembling of many key mediators of signal transduction, cellular growth, differentiation, stress-response and apoptothic pathways. With the aim to analyze which molecular descriptors have the higher importance in the binding interactions of these classes, we first performed molecular docking experiments on the 187 Hsp90 inhibitors included in the BindingDB, a public database of measured binding affinities. Further, for each frozen conformation obtained from the docking, a set of 250 molecular descriptors was calculated, and the resulting Structure/Descriptors matrix was submitted to Principal Component Analysis. From the factor scores it emerged a good clusterization among similar compounds both in terms of structural class and activity spectrum, while examination of the loadings of the first two factors also allowed to study the classes of descriptors which mainly contribute to each one.
机译:抑制调节癌细胞中多种信号转导途径的蛋白质是癌症治疗的一个有吸引力的目标。热激蛋白90(Hsp90)是这种方法最有希望的分子靶标之一。实际上,Hsp90是一种普遍存在的分子伴侣蛋白,参与信号转导,细胞生长,分化,应激反应和凋亡途径的许多关键介体的折叠,激活和组装。为了分析哪些分子描述符在这些类别的结合相互作用中具有更高的重要性,我们首先对BindingDB(一种测量结合亲和力的公共数据库)中包含的187种Hsp90抑制剂进行了分子对接实验。此外,对于从对接获得的每个冻结构象,计算了250个分子描述符的集合,并将所得的Structure / Descriptors矩阵提交给主成分分析。从因子得分来看,在结构类别和活性谱方面,相似化合物之间都表现出良好的聚类性,而检查前两个因子的负载量也可以研究主要对每个因子有贡献的描述符类别。

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