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Title: | Applying discriminant and cluster analysis to separate allergenic from non-allergenic proteins |
Author: | Naneva, Ludmila Nedyalkova, Miroslava Madurga Díez, Sergio Mas i Pujadas, Francesc Simeonov, Vasil |
Keywords: | Aminoàcids Anàlisi de conglomerats Amino acids Cluster analysis |
Issue Date: | 3-Jun-2019 |
Publisher: | De Gruyter Open |
Abstract: | As a result of increased healthcare requirements and the introduction of genetically modified foods, the problem of allergies is becoming a growing health problem. The concept of allergies has prompted the use of new methods such as genomics and proteomics to uncover the nature of allergies. In the present study, a selection of 1400 food proteins was analysed by PLS-DA (Partial Least Square-based Discriminant Analysis) after suitable transformation of structural parameters into uniform vectors. Then, the resulting strings of different length were converted into vectors with equal length by Auto and Cross-Covariance (ACC) analysis. Hierarchical and non-hierarchical (K-means) Cluster Analysis (CA) was also performed in order to reach a certain level of separation within a small training set of plant proteins (16 allergenic and 16 non-allergenic) using a new three-dimensional descriptor based on surface protein properties in combination with amino acid hydrophobicity scales. The novelty of the approach in protein differentiation into allergenic and non-allergenic classes is described in the article. The general goal of the present study was to show the effectiveness of a traditional chemometric method for classification (PLS-DA) and the options of Cluster Analysis (CA) to separate by multivariate statistical methods allergenic from non-allergenic proteins. |
Note: | Reproducció del document publicat a: https://doi.org/10.1515/chem-2019-0045 |
It is part of: | Open Chemistry, 2019, vol. 17, num. 1, p. 401-407 |
URI: | http://hdl.handle.net/2445/135518 |
Related resource: | https://doi.org/10.1515/chem-2019-0045 |
Appears in Collections: | Articles publicats en revistes (Ciència dels Materials i Química Física) |
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