Clinical and Developmental Immunology
Volume 2013 (2013), Article ID 263952, 9 pages
http://dx.doi.org/10.1155/2013/263952
Research Article
Prediction of IL4 Inducing Peptides
Bioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh 160036, India
Received 18 August 2013; Revised 8 October 2013; Accepted 13 November 2013
Academic Editor: Pedro Reche
Copyright © 2013 Sandeep Kumar Dhanda et al. This is an open access article distributed under theCreative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
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.
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