Computer intelligence approach for prediction of binding ability and fragment based peptide vaccines from Leishmania protozoa peptides

摘要

Leishmania major, member of the genus Leishmania causes Leishmaniasis. 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 protozoan diseases. Analysis shows MHC class II binding peptides of antigen protein from Leishmania major 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 Leishmania major.