蛋白质无序区估计的生物信息学工具

Onur Imer, Levent Çavaş
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引用次数: 3

摘要

在转录和翻译、蛋白质-蛋白质、蛋白质- dna相互作用以及确定蛋白质的三级结构方面,对蛋白质中无序区域的估计作为一种测量灵活性的重要方法在发挥关键作用方面发挥重要作用。已经确定,含有大量氨基酸(如丙氨酸、甘氨酸和脯氨酸)的蛋白质由于改变Φ和Ψ键角而具有无序倾向。在本研究中,选择了两种蛋白质,一种具有高障碍倾向,另一种具有低障碍倾向,以强调它们之间的差异。利用5种新开发的生物信息学工具(RONN, FoldIndex, VSL2 DisProt, GlobPlot, DisEMBL),对ExPasy (Expert protein Analysis System)蛋白库中选取的两种重要酶(dna拓扑异构酶I和谷胱甘肽过氧化物酶5)的紊乱区域进行了估计。一些包含紊乱区域的蛋白质与一些代谢疾病有关,如糖尿病、癌症、阿尔茨海默病。本研究的主要目的是介绍已开发的生物信息学工具与两种选定的蛋白质的无序区域有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The bioinformatics tools for the estimation of disordered regions in proteins
Estimation of disordered regions in proteins as a measurement of flexibility is important in terms of playing key roles in regulation of transcription and translation, protein-protein, protein-DNA interactions and also in determining the tertiary structure of the proteins. It has been determined that proteins that include intensive amounts of aminoacids such as alanine, glycine and proline have propensity of disorder on account of changing Φ and Ψ bond angles. In this study, two proteins, one with high propensity of disorder and the other with low propensity of disorder, have been chosen to emphasize the differences between them. The disordered regions in two important enzymes (DNA-topoisomerase I and glutathione peroxidase 5) chosen from the protein bank of ExPasy (Expert Protein Analysis System) have been estimated by using 5 newly developed bioinformatics tools (RONN, FoldIndex, VSL2 DisProt, GlobPlot, DisEMBL). Some proteins that include disordered regions have been related to some metabolic diseases such as diabetes, cancer, Alzheimer. The main aim of this study is to introduce the developed bioinformatics tools related to disordered regions in two selected proteins.
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