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Prediction of IL4 Inducing Peptides
The secretion of Interleukin-4 (IL4) is the characteristic of T-helper 2 responses. IL4 is a cytokine produced by CD4+ T cells in response to helminthes and other extracellular parasites. It has a critical role in guiding antibody class switching, hematopoiesis and inflammation, and the development...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3893860/ https://www.ncbi.nlm.nih.gov/pubmed/24489573 http://dx.doi.org/10.1155/2013/263952 |
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author | Dhanda, Sandeep Kumar Gupta, Sudheer Vir, Pooja Raghava, G. P. S. |
author_facet | Dhanda, Sandeep Kumar Gupta, Sudheer Vir, Pooja Raghava, G. P. S. |
author_sort | Dhanda, Sandeep Kumar |
collection | PubMed |
description | The secretion of Interleukin-4 (IL4) is the characteristic of T-helper 2 responses. IL4 is a cytokine produced by CD4+ T cells in response to helminthes and other extracellular parasites. It has a critical role in guiding antibody class switching, hematopoiesis and inflammation, and the development of appropriate effector T-cell responses. In this study, it is the first time an attempt has been made to understand whether it is possible to predict IL4 inducing peptides. The data set used in this study comprises 904 experimentally validated IL4 inducing and 742 noninducing MHC class II binders. Our analysis revealed that certain types of residues are preferred at certain positions in IL4 inducing peptides. It was also observed that IL4 inducing and noninducing epitopes differ in compositional and motif pattern. Based on our analysis we developed classification models where the hybrid method of amino acid pairs and motif information performed the best with maximum accuracy of 75.76% and MCC of 0.51. These results indicate that it is possible to predict IL4 inducing peptides with reasonable precession. These models would be useful in designing the peptides that may induce desired Th2 response. |
format | Online Article Text |
id | pubmed-3893860 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-38938602014-02-02 Prediction of IL4 Inducing Peptides Dhanda, Sandeep Kumar Gupta, Sudheer Vir, Pooja Raghava, G. P. S. Clin Dev Immunol Research Article The secretion of Interleukin-4 (IL4) is the characteristic of T-helper 2 responses. IL4 is a cytokine produced by CD4+ T cells in response to helminthes and other extracellular parasites. It has a critical role in guiding antibody class switching, hematopoiesis and inflammation, and the development of appropriate effector T-cell responses. In this study, it is the first time an attempt has been made to understand whether it is possible to predict IL4 inducing peptides. The data set used in this study comprises 904 experimentally validated IL4 inducing and 742 noninducing MHC class II binders. Our analysis revealed that certain types of residues are preferred at certain positions in IL4 inducing peptides. It was also observed that IL4 inducing and noninducing epitopes differ in compositional and motif pattern. Based on our analysis we developed classification models where the hybrid method of amino acid pairs and motif information performed the best with maximum accuracy of 75.76% and MCC of 0.51. These results indicate that it is possible to predict IL4 inducing peptides with reasonable precession. These models would be useful in designing the peptides that may induce desired Th2 response. Hindawi Publishing Corporation 2013 2013-12-30 /pmc/articles/PMC3893860/ /pubmed/24489573 http://dx.doi.org/10.1155/2013/263952 Text en Copyright © 2013 Sandeep Kumar Dhanda et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Dhanda, Sandeep Kumar Gupta, Sudheer Vir, Pooja Raghava, G. P. S. Prediction of IL4 Inducing Peptides |
title | Prediction of IL4 Inducing Peptides |
title_full | Prediction of IL4 Inducing Peptides |
title_fullStr | Prediction of IL4 Inducing Peptides |
title_full_unstemmed | Prediction of IL4 Inducing Peptides |
title_short | Prediction of IL4 Inducing Peptides |
title_sort | prediction of il4 inducing peptides |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3893860/ https://www.ncbi.nlm.nih.gov/pubmed/24489573 http://dx.doi.org/10.1155/2013/263952 |
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