Prediction of the epitopes of the cell wall protein Csp37 in Candida albicans

Abstract

Abstract:

Objective To predict the antigenic epitopes of the cell wall protein Csp37 in Candida albicans, and analyze their immunogenicity as vaccine targets. Methods The epitopes of Csp37 were predicted by bioinformatics method; and the basic physical and chemical properties of Csp37 protein were analyzed by ProtParam network server; signal peptide was predicted by SignalP 3.0 server; transmembrane domain was predicted by TMHMM; secondary structure was predicted by GOR4; hydrophilicity, surface probability, flexible regions and antigenic index were predicted by DNAStar software. ABCPred and Syfpeithi were used to predict B and T cell epitopes, respectively. Finally, the prediction results of B and T cell epitopes were further analyzed to find the common ones. Results Prediction of B cell epitopes and T cell epitopes of the cell wall protein Csp37 of C. albicans were 9 and 8 respectively. The B&T cell common epitopes were 5, and the common dominant region were 45-48,76-78,153-158,222-225,303-305 aa. Conclusion Cell wall protein Csp37 of C. albicans is rich in antigenic epitopes, and has the potential to induce the cellular immune response and the humoral immune response, which could be used as a new target for vaccine against candidiasis.

Key words: Candida albicans, antigenic epitope, bioinformatics, vaccine

CLC Number:

R379.4

SUI Xue, JIANG Yuan-ying, YAN Lan. Prediction of the epitopes of the cell wall protein Csp37 in Candida albicans[J]. Chinese Journal of Mycology, 2018, 13(6): 327-334.

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