Bioinformatic prediction of epitopes in the Emy162 antigen of Echinococcus multilocularis

  • Authors:
    • Yanhua Li
    • Xianfei Liu
    • Yuejie Zhu
    • Xiaotao Zhou
    • Chunbao Cao
    • Xiaoan Hu
    • Haimei Ma
    • Hao Wen
    • Xiumin Ma
    • Jian-Bing Ding
  • View Affiliations

  • Published online on: June 5, 2013     https://doi.org/10.3892/etm.2013.1142
  • Pages: 335-340
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

The aim of the present study was to predict the secondary structure and the T‑ and B‑cell epitopes of the Echinococcus multilocularis Emy162 antigen, in order to reveal the dominant epitopes of the antigen. The secondary structure of the protein was analyzed using the Gamier‑Robson method, and the improved self‑optimized prediction method (SOPMA) server. The T‑ and B‑cell epitopes of Emy162 were predicted using Immune Epitope Database (IEDB), Syfpeithi, Bcepred and ABCpred online software. The characteristics of hydrophilicity, flexibility, antigenic propensity and exposed surface area were predicted. The tertiary structure of the Emy162 protein was predicted by the 3DLigandSite server. The results demonstrated that random coils and β sheets accounted for 34.64 and 21.57% of the secondary structure of the Emy162 protein, respectively. This was indicative of the presence of potential dominant antigenic epitopes in Emy162. Following bioinformatic analysis, numerous distinct antigenic epitopes of Emy162 were identified. The high‑scoring T‑cell epitopes were located at positions 16‑29, 36‑39, 97‑103, 119‑125 and 128‑135, whilst the likely B‑cell epitopes were located at positions 8‑10, 19‑25, 44‑50, 74‑81, 87‑93, 104‑109 and 128‑136. In conclusion, five T‑cell and seven B‑cell dominant epitopes of the Emy162 antigen were revealed by the bioinformatic methods, which may be of use in the development of a dominant epitope vaccine.
View Figures
View References

Related Articles

Journal Cover

August 2013
Volume 6 Issue 2

Print ISSN: 1792-0981
Online ISSN:1792-1015

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Li Y, Liu X, Zhu Y, Zhou X, Cao C, Hu X, Ma H, Wen H, Ma X, Ding J, Ding J, et al: Bioinformatic prediction of epitopes in the Emy162 antigen of Echinococcus multilocularis. Exp Ther Med 6: 335-340, 2013
APA
Li, Y., Liu, X., Zhu, Y., Zhou, X., Cao, C., Hu, X. ... Ding, J. (2013). Bioinformatic prediction of epitopes in the Emy162 antigen of Echinococcus multilocularis. Experimental and Therapeutic Medicine, 6, 335-340. https://doi.org/10.3892/etm.2013.1142
MLA
Li, Y., Liu, X., Zhu, Y., Zhou, X., Cao, C., Hu, X., Ma, H., Wen, H., Ma, X., Ding, J."Bioinformatic prediction of epitopes in the Emy162 antigen of Echinococcus multilocularis". Experimental and Therapeutic Medicine 6.2 (2013): 335-340.
Chicago
Li, Y., Liu, X., Zhu, Y., Zhou, X., Cao, C., Hu, X., Ma, H., Wen, H., Ma, X., Ding, J."Bioinformatic prediction of epitopes in the Emy162 antigen of Echinococcus multilocularis". Experimental and Therapeutic Medicine 6, no. 2 (2013): 335-340. https://doi.org/10.3892/etm.2013.1142