IMMUNO-PROTEOMICS APPROACH FOR SYNTHETIC VACCINE DEVELOPMENT FORM HAEMOPHILUS INFLUENZAE

Gomase V.S.1, Kapoor R.A.2, Ladak S.S.3
1School of Technology, S.R.T.M. University, Sub-Centre, Latur, 413512, India
2Padmashree Dr. D.Y. Patil University, Navi Mumbai, 400614, India
3Padmashree Dr. D.Y. Patil University, Navi Mumbai, 400614, India

Received : -     Accepted : -     Published : 15-06-2010
Volume : 1     Issue : 1       Pages : 1 - 6
J Infect Dis Lett 1.1 (2010):1-6

Cite - MLA : Gomase V.S., et al "IMMUNO-PROTEOMICS APPROACH FOR SYNTHETIC VACCINE DEVELOPMENT FORM HAEMOPHILUS INFLUENZAE." Journal of Infectious Diseases Letters 1.1 (2010):1-6.

Cite - APA : Gomase V.S., Kapoor R.A., Ladak S.S. (2010). IMMUNO-PROTEOMICS APPROACH FOR SYNTHETIC VACCINE DEVELOPMENT FORM HAEMOPHILUS INFLUENZAE. Journal of Infectious Diseases Letters, 1 (1), 1-6.

Cite - Chicago : Gomase V.S., Kapoor R.A., and Ladak S.S. "IMMUNO-PROTEOMICS APPROACH FOR SYNTHETIC VACCINE DEVELOPMENT FORM HAEMOPHILUS INFLUENZAE." Journal of Infectious Diseases Letters 1, no. 1 (2010):1-6.

Copyright : © 2010, Gomase V.S., et al, 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

Haemophilus influenzae causes systemic infections leading to be an obligatory step in infection. 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 Haemophilus influenzae are important determinant for protection of host form pathogenic infection. In this assay, we used PSSM and SVM algorithms for antigen design and predicted the binding affinity of antigen protein having 575 amino acids, which shows 567 nonamers. Binding ability prediction of antigen peptides to major histocompatibility complex (MHC) class I & II molecules is important in vaccine development from Haemophilus influenzae.

References

[1] D.A. Daines, L.A. Cohn, H.N. Coleman, K.S. Kim, A.L.Smith. Haemophilus influenzae Rd KW20 has virulence properties. Seattle Biomedical Research Institute, Four Nickerson Street, Suite 200, WA 98109, USA  
» CrossRef  » Google Scholar  » PubMed  » DOAJ  » CAS  » Scopus  

[2] P.W. Whitby, T.W. Seale, D.J. Morton, T.M. VanWagoner, T.L. Stull. Characterization of the Haemophilus influenzae tehB gene and its role in virulence. Microbiology. 2010 Apr;156(Pt 4):1188-200  
» CrossRef  » Google Scholar  » PubMed  » DOAJ  » CAS  » Scopus  

[3] A. Joshi, J. Tang, M. Kuzma, J. Wagner, B. Mookerjee, J. Filicko, M. Carabasi, N. Flomenberg, P. Flomenberg, "Adenovirus DNA polymerase is recognized by human CD8+ T cells". J. Gen Virol., 90(Pt 1), 84-94, 2009  
» CrossRef  » Google Scholar  » PubMed  » DOAJ  » CAS  » Scopus  

[4] D. McDonald, L. Stockwin, T. Matzow, M.E. Blair Zajdel, G.E.Blair, "Coxsackie and adenovirus receptor (CAR)-dependent and major histocompatibility complex (MHC) class I-independent uptake of recombinant adenoviruses into human tumour cells". Gene Ther., 6(9),1512-9, 1999  
» CrossRef  » Google Scholar  » PubMed  » DOAJ  » CAS  » Scopus  

[5] V.S.Gomase, K.V. Kale and K. Shyamkumar, "Prediction of MHC Binding Peptides and Epitopes from Groundnut Bud Necrosis Virus (GBNV)". J. of Proteomics & Bioinformatics, 1 (4), 188- 205, 2008  
» CrossRef  » Google Scholar  » PubMed  » DOAJ  » CAS  » Scopus  

[6] V.S.Gomase, K.V. Kale, N.J.Chikhale, S.S. Changbhale, "Prediction of MHC Binding Peptides and Epitopes from Alfalfa mosaic virus". Curr. Drug Discov. Technol., 4(2),117- 1215, 2007  
» CrossRef  » Google Scholar  » PubMed  » DOAJ  » CAS  » Scopus  

[7] V.S.Gomase and K.V.Kale,"In silico prediction of epitopes: a new approach for fragment based viral peptide vaccines". Int. J. of Applied Computing, 1(1), 39-46, 2008  
» CrossRef  » Google Scholar  » PubMed  » DOAJ  » CAS  » Scopus  

[8] V.S.Gomase and K.V.Kale, "Approach of proteomics system architecture in plant virus’s database". Int. J. of Applied Computing, 1(1), 33-38, 2008  
» CrossRef  » Google Scholar  » PubMed  » DOAJ  » CAS  » Scopus  

[9] V.S.Gomase and K.V.Kale, "Bioinformatics based sequence analysis of Nucleoplasmin like viral coat protein". Int. J. of Information Retrieval, 1(1), 11-15, 2008  
» CrossRef  » Google Scholar  » PubMed  » DOAJ  » CAS  » Scopus  

[10] V.S.Gomase, K.V. Kale, K. Shyamkumar and S. Shankar, "Computer Aided Multi Parameter Antigen Design: Impact of Synthetic Peptide Vaccines from Soybean Mosaic Virus". ICETET 2008, IEEE Computer Society in IEEE Xplore, Los Alamitos, California, 629-634, 2008  
» CrossRef  » Google Scholar  » PubMed  » DOAJ  » CAS  » Scopus  

[11] V.S.Gomase, J.P.Tandale, S.A.Patil, K.V.Kale, “Automatic modeling of protein 3D structure Nucleoplasmin-like viral coat protein from Cucumber mosaic virus”. 14th International Conference on Advance Computing & Communication, Published by IEEE Computer Society in IEEE Xplore USA 614-615, 2006  
» CrossRef  » Google Scholar  » PubMed  » DOAJ  » CAS  » Scopus  

[12] P.A. Reche, J.P. Glutting, E.L. Reinherz, “Prediction of MHC Class I Binding Peptides Using Profile Motifs”. Hum Immun., 63, 701-709, 2002  
» CrossRef  » Google Scholar  » PubMed  » DOAJ  » CAS  » Scopus  

[13] S. Buus, et al., “Sensitive quantitative predictions of peptide-MHC binding by a 'Query by Committee' artificial neural network approach”. Tissue Antigens, 62, 378-384, 2003  
» CrossRef  » Google Scholar  » PubMed  » DOAJ  » CAS  » Scopus  

[14] M. Nielsen, et al., “Reliable prediction of T-cell epitopes using neural networks with novel sequence representations”. Protein Sci., 12, 1007-1017, 2003  
» CrossRef  » Google Scholar  » PubMed  » DOAJ  » CAS  » Scopus  

[15] M. Bhasin and G.P. Raghava, “Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences”. Nucleic Acids Research, 33, W202-207, 2005  
» CrossRef  » Google Scholar  » PubMed  » DOAJ  » CAS  » Scopus