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首页> 外文期刊>Acta Biochimica Polonica >Electronegativity and intrinsic disorder of preeclampsia-related proteins
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Electronegativity and intrinsic disorder of preeclampsia-related proteins

机译:预坦克斯相关蛋白质的电负性和内在病症

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摘要

Preeclampsia, hemorrhage, and infection are the leading causes of maternal death in underdeveloped countries. Since several proteins associated with preeclampsia are known, we conducted a computational study which evaluated the commonness and potential functionality of intrinsic disorder of these proteins and also made an attempt to characterize their origin. The origin of the preeclampsia-related proteins was assessed with a supervised technique, a Polarity Index Method (PIM), which evaluates the electronegativity of proteins based solely on their sequence. The commonness of intrinsic disorder was evaluated using several disorder predictors from the PONDR family, the charge-hydropathy plot (CH-plot) and cumulative distribution function (CDF) analyses, and using the MobiDB web-based tool, whereas potential functionality of intrinsic disorder was studied with the D2P2 resource and ANCHOR predictor of disorder-based binding sites, and the STRING tool was used to build the interactivity networks of the preeclampsia-related proteins. Peculiarities of the PIM-derived polar profile of the group of preeclampsia-related proteins were then compared with profiles of a group of lipoproteins, antimicrobial peptides, angiogenesis-related proteins, and the intrinsically disordered proteins. Our results showed a high graphical correlation between preeclampsia proteins, lipoproteins, and the angiogenesis proteins. We also showed that many preeclampsia-related proteins contain numerous functional disordered regions. Therefore, these bioinformatics results led us to assume that the preeclampsia proteins are highly associated with the lipoproteins group, and that some preeclampsia-related proteins contain significant amounts of functional disorders.
机译:史前兰,出血和感染是欠发达国家孕产妇死亡的主要原因。由于已知几种与先兆子痫相关的蛋白质,我们进行了一种计算研究,该计算研究评估了这些蛋白质内在病症的常见和潜在功能,并试图表征其起源。通过监督技术评估了与预坦克西相关的蛋白质的起源,极性指数法(PIM),其评估了蛋白质的电气引导性基于其序列。使用来自Pondr家族的几种疾病预测因子,电荷 - 水肿绘图(CH-图)和累积分布函数(CDF)分析来评估内在病症的共同性,并使用MobiDB基于基于Web的工具,而固有疾病的潜在功能用D2P2资源和基于疾病的结合位点的锚预测器研究,串工具用于构建与之相关的蛋白质的相互作用网络。然后将PIM衍生的PIM衍生的极性曲线的特异性与一组脂蛋白,抗微生物肽,血管生成相关蛋白和本质无序蛋白质进行比较。我们的结果表明,Preclampsia蛋白,脂蛋白和血管生成蛋白之间的高图形相关性。我们还表明,许多与众不同的蛋白质相关的蛋白质含有许多功能无序区域。因此,这些生物信息学结果导致我们假设预坦帕苏蛋白与脂蛋白基团高度相关,并且一些与胰岛素相关的蛋白质含有大量的功能性疾病。

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