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http://hdl.handle.net/2445/135518
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DC Field | Value | Language |
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dc.contributor.author | Naneva, Ludmila | - |
dc.contributor.author | Nedyalkova, Miroslava | - |
dc.contributor.author | Madurga Díez, Sergio | - |
dc.contributor.author | Mas i Pujadas, Francesc | - |
dc.contributor.author | Simeonov, Vasil | - |
dc.date.accessioned | 2019-06-19T14:51:35Z | - |
dc.date.available | 2019-06-19T14:51:35Z | - |
dc.date.issued | 2019-06-03 | - |
dc.identifier.uri | http://hdl.handle.net/2445/135518 | - |
dc.description.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. | - |
dc.format.extent | 7 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | De Gruyter Open | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.1515/chem-2019-0045 | - |
dc.relation.ispartof | Open Chemistry, 2019, vol. 17, num. 1, p. 401-407 | - |
dc.relation.uri | https://doi.org/10.1515/chem-2019-0045 | - |
dc.rights | cc-by (c) Naneva, L. et al., 2019 | - |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es | - |
dc.source | Articles publicats en revistes (Ciència dels Materials i Química Física) | - |
dc.subject.classification | Aminoàcids | - |
dc.subject.classification | Anàlisi de conglomerats | - |
dc.subject.other | Amino acids | - |
dc.subject.other | Cluster analysis | - |
dc.title | Applying discriminant and cluster analysis to separate allergenic from non-allergenic proteins | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 690373 | - |
dc.date.updated | 2019-06-19T14:51:35Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
Appears in Collections: | Articles publicats en revistes (Ciència dels Materials i Química Física) |
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690373.pdf | 303.08 kB | Adobe PDF | View/Open |
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