Microbial Proteomics Approach for Sensitive Quantitative Predictions of MHC Binding Peptide from Taenia OvisGomase VS* and Chitlange NR
Department of Bioinformatics, JJT University, Jhunjhunu, Rajasthan, India
- *Corresponding Author:
- Gomase VS
Department of Bioinformatics
JJT University, Jhunjhunu
Rajasthan, 333001, India
E-mail: [email protected]
Received date: July 30, 2012; Accepted date: October 25, 2012;Published date: November 02, 2012
Citation: Gomase VS, Chitlange NR (2012) Microbial Proteomics Approach for Sensitive Quantitative Predictions of MHC Binding Peptide from Taenia ovis. J Data Mining Genomics Proteomics 3:121. doi: 10.4172/2153-0602.1000121
Copyright: © 2012 Gomase VS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Taenia ovis is a tapeworm parasite with the adult stage of the parasite found in the intestines of dogs, while the intermediate or larval stage is found in the muscles of sheep, causes sheep measles. Peptide fragments of antigen protein can be used to select nonamers for use in rational vaccine design, and to increase the understanding of roles of the immune system in infectious diseases. Analysis shows MHC class II binding peptides of antigen protein from Taenia ovis are important determinants for protection of host from parasitic infection. In this assay, we used PSSM and SVM algorithms for antigen design and predicted the binding affinity of antigen protein having 254 amino acids, which shows 246 nonamers. Binding ability prediction of antigen peptides to Major Histocompatibility Complex (MHC) class I & II molecules is important in vaccine development against sheep measles.