Classifying lipoproteins based on their polar profiles.

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

doi:10.18388/abp.2014_918

Carlos Polanco Department of Mathematics, Faculty of Sciences, Universidad Nacional Autónoma de México, C.P. 04510 D.F., México.;
Jorge Alberto Castañón-González Departments of Critical Care Medicine and Biomedical Research, Hospital Juárez de México, D.F. 07760 México.;
Thomas Buhse Centro de Investigaciones Químicas, Universidad Autónoma del Estado de Morelos, C.P. 62209 Chamilpa, Cuernavaca, Morelos, México.;
Vladimir N Uversky Department of Molecular Medicine and USF Health Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida, MDC07 Tampa, FL 33647, USA; Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia; Institute for Biological Instrumentation, Russian Academy of Sciences, 142290 Pushchino, Moscow Region, Russia.;
Rafael Zonana Amkie Faculty of Health Sciences, Universidad Anahuac, C.P. 52786 Huixquilucan Estado de Mexico, México.;

DOI: https://doi.org/10.18388/abp.2014_918

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.