APPLICATION COMPUTATIONAL INTELLIGENCE FOR DEVELOPMENT OF SYNTHETIC PEPTIDE VACCINE FROM MYCOBACTERIUM AVIUM

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 : 9 - 13
Int J Comput Biol 1.1 (2010):9-13

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

Mycobacterium avium causes MAC diseases. Symptoms of MAC diseases are reminiscent of tuberculosis; they include fever, fatigue, and weight loss. 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 Mycobacterium avium are important determinant for protection of host form bacterial infection. In this assay, we used PSSM and SVM algorithms for antigen design and predicted the binding affinity of antigen protein having 195 amino acids, which shows 187 nonamers. Binding ability prediction of antigen peptides to major histocompatibility complex (MHC) class I & II molecules is important in vaccine development from Mycobacterium avium.

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