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根据脂蛋白的极性特征对其进行分类。

Classifying lipoproteins based on their polar profiles.

作者信息

Polanco Carlos, Castañón-González Jorge Alberto, Buhse Thomas, Uversky Vladimir N, Amkie Rafael Zonana

机构信息

Department of Mathematics, Faculty of Sciences, Universidad Nacional Autónoma de México, C.P. 04510 D.F., México.

Departments of Critical Care Medicine and Biomedical Research, Hospital Juárez de México, D.F. 07760 México.

出版信息

Acta Biochim Pol. 2016;63(2):235-41. doi: 10.18388/abp.2014_918. Epub 2016 Apr 8.

DOI:10.18388/abp.2014_918
PMID:27059017
Abstract

The lipoproteins are an important group of cargo proteins known for their unique capability to transport lipids. By applying the Polarity index algorithm, which has a metric that only considers the polar profile of the linear sequences of the lipoprotein group, we obtained an analytical and structural differentiation of all the lipoproteins found in UniProt Database. Also, the functional groups of lipoproteins, and particularly of the set of lipoproteins relevant to atherosclerosis, were analyzed with the same method to reveal their structural preference, and the results of Polarity index analysis were verified by an alternate test, the Cumulative Distribution Function algorithm, applied to the same groups of lipoproteins.

摘要

脂蛋白是一类重要的载脂蛋白,以其独特的脂质运输能力而闻名。通过应用极性指数算法,该算法具有一种仅考虑脂蛋白组线性序列极性特征的度量标准,我们对在UniProt数据库中发现的所有脂蛋白进行了分析和结构区分。此外,还使用相同的方法分析了脂蛋白的功能组,特别是与动脉粥样硬化相关的脂蛋白组,以揭示它们的结构偏好,并且通过将累积分布函数算法应用于相同的脂蛋白组这一替代测试,验证了极性指数分析的结果。

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