Background
Type: Article

Computational Analysis of Cysteine Proteases (Clan CA, Family Cl) of Leishmania major to Find Potential Epitopic Regions

Journal: Genomics, Proteomics And Bioinformatics (16720229)Year: September 2009Volume: 7Issue: Pages: 87 - 95
Gold • GreenDOI:10.1016/S1672-0229(08)60037-6Language: English

Abstract

Leishmania is associated with a broad spectrum of diseases, ranging from simple cutaneous to invasive visceral leishmaniasis. Here, the sequences of ten cysteine proteases of types A, B and C of Leishmania major were obtained from GeneDB database. Prediction of MHC class I epitopes of these cysteine proteases was performed by NetCTL program version 1.2. In addition, by using BcePred server, different structural properties of the proteins were predicted to find out their potential B cell epitopes. According to this computational analysis, nine regions were predicted as B cell epitopes. The results provide useful information for designing peptide-based vaccines. © 2009 Beijing Genomics Institute.


Author Keywords

B cell epitopebioinformaticscysteine proteaseLeishmania majorT cell epitope

Other Keywords

AnimalsComputational BiologyCysteine ProteasesEpitopesHistocompatibility Antigens Class ILeishmania majorLeishmaniasis, CutaneousPeptide FragmentsSoftwarecysteine protease Acysteine protease Bcysteine protease Ccysteine proteinaseepitopemajor histocompatibility antigen class 1peptideunclassified drugarticleB lymphocytebioinformaticscomputer programdrug designgenetic databaseHLA systemnonhumanprotein structureskin leishmaniasisT lymphocytevaccine productionvisceral leishmaniasis