Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8646759 | Infection, Genetics and Evolution | 2018 | 49 Pages |
Abstract
Rhoptry proteins (ROPs) are involved in the different stages of Toxoplasma gondii (T. gondii) invasion and are also critical for survival within host cells. ROP8 is expressed in the early stages of infection and have a key role in the parasitophorous vacuole (PV) formation. In this paper, we have combined several bioinformatics online servers for immunogenicity prediction of ROP8 protein. In this study, several bioinformatics approaches were used to analyze the different aspects of ROP8 protein, including the physico-chemical properties, transmembrane domain, subcellular localization, secondary and tertiary structure, B and T-cell potential epitopes, and other important characteristics of this protein. The findings showed that ROP8 protein had 60 potential post-translational modification sites. Also, only one transmembrane domain was recognized for this protein. The secondary structure of ROP8 protein comprises 33.04% alpha-helix, 18.26% extended strand, and 48.70% random coil. Moreover, several potential B and T-cell epitopes were identified for ROP8. In addition, the obtained findings from antigenicity and allergenicity evaluation remarked that this protein is immunogenic and non-allergen. Based on the results of Ramachandran plot, 94.8%, 4.1%, and 1.1% of amino acid residues were incorporated in the favored, allowed, and outlier regions, respectively. This paper provides a foundation for further investigations, and laid a theoretical basis for the development of an appropriate vaccine against toxoplasmosis. More studies are needed experimentally using the ROP8 alone or in combination with other antigens in the future.
Keywords
GORMICIEDBPDBIC50NCBIIFN-γIgEROPCTLThree-dimensionalANNSAGIgGPTMACCgrand average of hydropathicitySurface antigenpost-translational modificationImmunoglobulin Eimmunoglobulin Ginterferon-γGRAT. gondiiBioinformatics analysisToxoplasma gondiicluster of differentiationArtificial Neural Networkconfidence intervalcytotoxic T lymphocyteSVMSupport vector machineMacrophagesMHCmajor histocompatibility complexNational Centre for Biotechnology InformationIsoelectric pointhalf maximal inhibitory concentrationVaccineparasitophorous vacuoleMolecular weightImmune Epitope DatabaseProtein Data BankGRAVY
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Authors
Masoud Foroutan, Fatemeh Ghaffarifar, Zohreh Sharifi, Abdolhosein Dalimi, Majid Pirestani,