Document Type
Article
Publication Date
2016
Keywords
potential of association, lipoproteins, polar balance, polarity index method, unfolded proteins, folded proteins, partially folded proteins, intrinsically disordered proteins, atherosclerosis
Digital Object Identifier (DOI)
https://doi.org/10.18388/abp.2014_918
Rights Information
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Acta Biochimica Polonica, v. 63, issue 2, p. 235-241
Scholar Commons Citation
Polanco, Carlos; Castañón-González, Jorge Alberto; Buhse, Thomas; Uversky, Vladimir N.; and Amkie, Rafael Zonana, "Classifying Lipoproteins Based on Their Polar Profiles." (2016). Molecular Medicine Faculty Publications. 358.
https://digitalcommons.usf.edu/mme_facpub/358
Comments
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.