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 : 7 - 11
J Infect Dis Lett 1.1 (2010):7-11
Tetrahymena pyriformis are free-living ciliate protozoa that Guppies are easily susceptible to Tetrahymena. 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 parasitic diseases. Analysis shows MHC class II binding peptides of antigen protein from Tetrahymena pyriformis 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 389 amino acids, which shows 381 nonamers. Binding ability prediction of antigen peptides to major histocompatibility complex (MHC) class I & II molecules is important in vaccine development from Tetrahymena pyriformis.
[1] A. M. Elliott , “Biology of Tetrahymena”. ISBN 0-87933-013-9, 1973
» CrossRef » Google Scholar » PubMed » DOAJ » CAS » Scopus
[2] 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
[3] 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
[4] 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
[5] 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
[6] 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
[7] 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
[8] V.S.Gomase and K. Shyamkumar, “Prediction of antigenic epitopes and MHC binders of
neurotoxin alpha-KTx 3.8 from Mesobuthus tamulus sindicus”. African Journal of
Biotechnology, 8 (23), 6658-6676, 2009
» CrossRef » Google Scholar » PubMed » DOAJ » CAS » Scopus
[9] 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
[10] 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
[11] 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
[12] 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
[13] 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
[14] 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