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In silico analysis of Shiga toxins (Stxs) to identify new potential vaccine targets for Shiga toxin-producing Escherichia coli.
Golshani, Maryam; Oloomi, Mana; Bouzari, Saeid.
Affiliation
  • Golshani M; Molecular Biology Department, Institute Pasteur of Iran, Pasteur Ave., Tehran, 13164, Iran.
  • Oloomi M; Molecular Biology Department, Institute Pasteur of Iran, Pasteur Ave., Tehran, 13164, Iran. manaoloomi@yahoo.com.
  • Bouzari S; Molecular Biology Department, Institute Pasteur of Iran, Pasteur Ave., Tehran, 13164, Iran.
In Silico Pharmacol ; 5(1): 2, 2016 Dec.
Article in En | MEDLINE | ID: mdl-28534196
ABSTRACT
Shiga toxins belong to a family of structurally and functionally related toxins serving as the main virulence factors for pathogenicity of the Shiga toxin-producing Escherichia coli (STEC) associating with Hemolytic uremic syndrome (HUS). At present, there is no effective treatment or prevention for HUS. The aim of the present study was to find conserved regions within the amino acid sequences of Stx1, Stx2 (Shiga toxin) and their variants. In this regard, In-silico identification of conformational continuous B cell and T-cell epitopes was performed in order to introduce new potential vaccine candidates. 93-100% Homology was observed in Stx1 and its variants. In Stx2 and its variants, 69-100% homology was shown. By sequence alignment with Stx1 and Stx2, 54% homology was detected. T-cell epitope identification in Stx1A and Stx2A epitopes with highest binding affinity for each HLA (human leukocyte antigen) was demonstrated with 100% identity among all Stxs. B-cell epitope prediction was resulted in finding of four common epitopes between Stxs. In silico analysis of Stxs was resulted to identification of new peptide targets that could be used in development of new epitope vaccine candidates or in immunodiagnostic tests.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: In Silico Pharmacol Year: 2016 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: In Silico Pharmacol Year: 2016 Document type: Article Affiliation country:
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