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In silico prediction of Leishmania major ‐specific CD 8 + epitopes
Author(s) -
DietzeSchwonberg Kirsten,
Grewe Beatrix,
Brosch Sven,
Kuharev Joerg,
Zandbergen Ger,
Rammensee HansGeorg,
Tenzer Stefan,
Stebut Esther
Publication year - 2017
Publication title -
experimental dermatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 96
eISSN - 1600-0625
pISSN - 0906-6705
DOI - 10.1111/exd.13295
Subject(s) - in silico , epitope , leishmania , immunity , antigen , leishmania major , biology , immunosenescence , computational biology , immunology , virology , pathogen , peptide , immune system , genetics , parasite hosting , biochemistry , computer science , gene , world wide web
Infections with Leishmania (L.) major induce protective IFN ‐γ‐dependent Th1/Tc1 immunity in C57 BL /6 mice as well as in immunocompetent humans. Even though antigen‐specific immunity provides lifelong immunity against reinfection, a vaccine against this pathogen does not yet exist. Here, we compared the results obtained from in silico predictions of murine CD 8‐specific L. major peptides using the algorithm SYFPEITHI with the number and predicted affinity of known proteins/peptides. Our results indicate that the majority of “immunodominant” epitopes of L. major have not been identified so far; thus, computer‐based prediction algorithms may aid the development of an effective vaccine.