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Progress in computational modeling for structural biology has motivated the use of molecular mechanics calculations for synthetic peptide design as potential T-cell epitopes (peptides inducing immunogenicity). Short antigen peptides from virus/ bacteria/parasite are recognized by host specific human leukocyte antigen (HLA) molecules for T-cell sensitive cellular immune response. However, HLA molecules are highly polymorphic at the sequence level among ethnic population (American Indian, Australian aboriginal, Black, Caucasoid, Hispanic, Mixed, Oriental, Pacific Islander and Unknown ethnicity). The binding of peptides to host HLA molecules are both specific and sensitive. The use of computer aided molecular modeling principles has been shown for the design of T-cell specific epitopes as potential vaccine candidates. Application of computational techniques such as molecular dynamics simulation (MDS), self consistent ensemble optimization (SCEO), free energy (FE) estimation, computational combinatorial ligand design (CCLD), 3D quantitative structure activity relationship (3D-QSAR) and structure based virtual pockets (SBVP) in HLA-peptide binding prediction is discussed. The ability of modeling and design to predict peptide binding to a wide array of defined HLA alleles finds application in proteome wide scanning of bacteria/virus/parasite proteomes towards cocktail peptide vaccines.
Czasopismo
Rocznik
Tom
Strony
5--13
Opis fizyczny
Bibliogr. 32 poz., rys.
Twórcy
autor
- Biomedical Informatics, Pondicherry, 607402, India
autor
- Biomedical Informatics, Pondicherry, 607402, India
autor
- Biomedical Informatics, Pondicherry, 607402, India
- AIMST University, Kedha 08100, Malaysia
Bibliografia
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- 12. Kangueane P., Sakharkar M.K., Lim K.S., Hao H., Lin K., Chee R.E., Kolatkar P.R. (2000), Knowledge-based grouping of modeled HLA peptide complexes. Hum. Immunol . 61: 460.
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- 16. Schueler-Furman O., Altuvia Y., Sette A., Margalit H. (2000), Structure-based prediction of binding peptides to MHC class I molecules: application to a broad range of MHC alleles. Protein Sci 9: 1838.
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- 23. Logean A., Sette A., Rognan D. (2001), Customized versus universal scoring functions: application to class I MHC-peptide binding free energy predictions. Bioorg. Med. Chem. Lett. 11: 675.
- 24. Logean A., Rognan D. (2002), Recovery of known T-cell epitopes by computational scanning of a viral genome. J. Comput. Aided Mol. Des. 16: 229.
- 25. Zeng J., Treutlein H.R., Rudy G.B. (2001), Predicting sequences and structures of MHC-binding peptides: a computational combinatorial approach. J. Comput. Aided Mol. Des. 15: 573.
- 26. Doytchinova I.A., Flower D.R. (2001), Toward the quantitative prediction of T-cell epitopes: coMFA and coMSIA studies of peptides with affinity for the class I MHC molecule HLA-A*0201. J. Med. Chem. 44: 3572.
- 27. Doytchinova I.A., Flower D.R. (2002), A comparative molecular similarity index analysis (CoMSIA) study identifies an HLA-A2 binding supermotif. J. Comput. Aided Mol. Des. 16: 535.
- 28. Zhao B., Mathura V.S., Rajaseger G., Moochhala S., Sakharkar M.K., Kangueane P. (2003), A novel MHCp binding prediction model. Hum. Immunol. 64: 1123.
- 29. Mohanapriya A., Lulu S., Kayathri R., Kangueane P. (2009), Class II HLA-peptide binding prediction using structural principles. Hum. Immunol. 70: 159.
- 30. Den Haan J.M., Meadows L.M., Wang W., Pool J., Blokland E., Bishop T.L., Reinhardus C., Shabanowitz J., Offringa R., Hunt D.F., Engelhard V.H., Goulmy E. (1998), The minor histocompatibility antigen HA-1: a diallelic gene with a single amino acid polymorphism. Science 279: 1054.
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- 32. Venkatarajan M.S., Braun W. (2001), New quantitative descriptors of amino acids based on multidimensional scaling of a large number of physical-chemical properties. J. Mol. Model. 7: 445.
Typ dokumentu
Bibliografia
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