SUPPORT VECTOR MACHINE (SVM) BASED PREDICTION OF PROMISCUOUS MHC CLASS BINDING PEPTIDES

Gomase V.S.1*, Chitlange N.R.2
1School of Technology, S.R.T.M. University, Sub-Centre, Latur, 413531, MS, India
2School of Technology, S.R.T.M. University, Sub-Centre, Latur, 413531, MS, India
* Corresponding Author : gomase.viren@gmail.com

Received : -     Accepted : -     Published : 15-06-2010
Volume : 1     Issue : 1       Pages : 4 - 8
Int J Comput Biol 1.1 (2010):4-8

Keywords : antigen protein, epitope, PSSM, SVM, MHC, peptide vaccine
Conflict of Interest : None declared

Cite - MLA : Gomase V.S. and Chitlange N.R. "SUPPORT VECTOR MACHINE (SVM) BASED PREDICTION OF PROMISCUOUS MHC CLASS BINDING PEPTIDES." International Journal of Computational Biology 1.1 (2010):4-8.

Cite - APA : Gomase V.S., Chitlange N.R. (2010). SUPPORT VECTOR MACHINE (SVM) BASED PREDICTION OF PROMISCUOUS MHC CLASS BINDING PEPTIDES. International Journal of Computational Biology, 1 (1), 4-8.

Cite - Chicago : Gomase V.S. and Chitlange N.R. "SUPPORT VECTOR MACHINE (SVM) BASED PREDICTION OF PROMISCUOUS MHC CLASS BINDING PEPTIDES." International Journal of Computational Biology 1, no. 1 (2010):4-8.

Copyright : © 2010, Gomase V.S. and Chitlange N.R., Published by Bioinfo Publications. 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.

Abstract

Shigella flexneri is a species of Gram-negative bacteria in the genus Shigella that can cause diarrhea in humans. 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 Shigella flexneri are important determinant for protection of host form parasitic infection. In this assay, we used PSSM and SVM algorithms for antigen design and predicted the binding affinity of antigen protein having 574 amino acids, which shows 566 nonamers. Binding ability prediction of antigen peptides to major histocompatibility complex (MHC) class I & II molecules is important in vaccine development from Shigella flexneri.

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