Caracterización computacional de los epítopes B de la quitinasa clase I de la Ananas comosus (piña).
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| Title: | Caracterización computacional de los epítopes B de la quitinasa clase I de la Ananas comosus (piña). |
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| Alternate Title: | Computational characterization of epitopes of the chitinase B class I Ananas comosus (pineapple). |
| Authors: | Mejía, César Muñoz1, Méndez, Jefferson2, Reyes, Ricardo Vivas3, Cano, Javier Marrugo4 jmarrugo@unicartagena.edu.co |
| Source: | Salud Uninorte. ene-jun2011, Vol. 27 Issue 1, p1-10. 10p. 3 Charts, 2 Graphs. |
| Subjects: | CHITINASE, PINEAPPLE, ALLERGENS, BIOINFORMATICS, EPITOPES, DNA, PROTEINS |
| Abstract: | Objectives: To determine the allergenic potential of pineapple's chitinase and propose a bioinformatic model of the structure of this protein for the prediction of possible epitopes E, that would be related in allergic reactions to this fruit. Methods: From a DNA sequence of pineapple, previously reported, that translates for a protein similar to chitinases from other vegetable, using bioinformatic tools and databases available online, we obtained a computational model of pineapple's chitinase that was analyzed physically and chemically for the prediction of epitopes. Results: The model was generated as a 204 aminoacids protein, that was classified as a chitinase class I. The prediction and analysis of epitopes from multiple bioinformatic servers showed that they have properties (Relative Surface Area, RSA) which make them capable to be part of antigenic site. Conclusions: Pineapple's chitinase generated had similarities with a group of food allergens that has been related in the latexfruit syndrome, and could be responsible of allergies to this fruit. In addition, the ability to identify these epitopes is also useful in the design of Genetically Modified Foods. [ABSTRACT FROM AUTHOR] |
| Copyright of Salud Uninorte is the property of Fundacion Universidad del Norte and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | MedicLatina |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: lth DbLabel: MedicLatina An: 69617833 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Caracterización computacional de los epítopes B de la quitinasa clase I de la Ananas comosus (piña). – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Computational characterization of epitopes of the chitinase B class I Ananas comosus (pineapple). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mejía%2C+César+Muñoz%22">Mejía, César Muñoz</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Méndez%2C+Jefferson%22">Méndez, Jefferson</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Reyes%2C+Ricardo+Vivas%22">Reyes, Ricardo Vivas</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Cano%2C+Javier+Marrugo%22">Cano, Javier Marrugo</searchLink><relatesTo>4</relatesTo><i> jmarrugo@unicartagena.edu.co</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Salud+Uninorte%22">Salud Uninorte</searchLink>. ene-jun2011, Vol. 27 Issue 1, p1-10. 10p. 3 Charts, 2 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22CHITINASE%22">CHITINASE</searchLink><br /><searchLink fieldCode="DE" term="%22PINEAPPLE%22">PINEAPPLE</searchLink><br /><searchLink fieldCode="DE" term="%22ALLERGENS%22">ALLERGENS</searchLink><br /><searchLink fieldCode="DE" term="%22BIOINFORMATICS%22">BIOINFORMATICS</searchLink><br /><searchLink fieldCode="DE" term="%22EPITOPES%22">EPITOPES</searchLink><br /><searchLink fieldCode="DE" term="%22DNA%22">DNA</searchLink><br /><searchLink fieldCode="DE" term="%22PROTEINS%22">PROTEINS</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Objectives: To determine the allergenic potential of pineapple's chitinase and propose a bioinformatic model of the structure of this protein for the prediction of possible epitopes E, that would be related in allergic reactions to this fruit. Methods: From a DNA sequence of pineapple, previously reported, that translates for a protein similar to chitinases from other vegetable, using bioinformatic tools and databases available online, we obtained a computational model of pineapple's chitinase that was analyzed physically and chemically for the prediction of epitopes. Results: The model was generated as a 204 aminoacids protein, that was classified as a chitinase class I. The prediction and analysis of epitopes from multiple bioinformatic servers showed that they have properties (Relative Surface Area, RSA) which make them capable to be part of antigenic site. Conclusions: Pineapple's chitinase generated had similarities with a group of food allergens that has been related in the latexfruit syndrome, and could be responsible of allergies to this fruit. In addition, the ability to identify these epitopes is also useful in the design of Genetically Modified Foods. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Salud Uninorte is the property of Fundacion Universidad del Norte and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: spa Text: Spanish PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Subjects: – SubjectFull: CHITINASE Type: general – SubjectFull: PINEAPPLE Type: general – SubjectFull: ALLERGENS Type: general – SubjectFull: BIOINFORMATICS Type: general – SubjectFull: EPITOPES Type: general – SubjectFull: DNA Type: general – SubjectFull: PROTEINS Type: general Titles: – TitleFull: Caracterización computacional de los epítopes B de la quitinasa clase I de la Ananas comosus (piña). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mejía, César Muñoz – PersonEntity: Name: NameFull: Méndez, Jefferson – PersonEntity: Name: NameFull: Reyes, Ricardo Vivas – PersonEntity: Name: NameFull: Cano, Javier Marrugo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: ene-jun2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 01205552 Numbering: – Type: volume Value: 27 – Type: issue Value: 1 Titles: – TitleFull: Salud Uninorte Type: main |
| ResultId | 1 |
