Classifying lipoproteins based on their polar profiles. | Zendy

Carlos Polanco | Zendy; Jorge Alberto Castañón-González | Zendy; Thomas Buhse | Zendy; Vladimir N. Uversky | Zendy; Rafael Zonana Amkie | Zendy

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Classifying lipoproteins based on their polar profiles.

Author(s) -

Carlos Polanco,

Jorge Alberto Castañón-González,

Thomas Buhse,

Vladimir N. Uversky,

Rafael Zonana Amkie

Publication year - 2016

Publication title -

acta biochimica polonica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.452

H-Index - 78

eISSN - 1734-154X

pISSN - 0001-527X

DOI - 10.18388/abp.2014_918

Subject(s) - polarity (international relations) , lipoprotein , polar , metric (unit) , set (abstract data type) , chemistry , index (typography) , function (biology) , computational biology , biochemistry , mathematics , computer science , cholesterol , biology , microbiology and biotechnology , physics , engineering , operations management , astronomy , world wide web , cell , programming language

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.

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