In silico epitope prediction of Borrelia burgdorferi sensu lato antigens for the detection of specific antibodies - Publication - Bridge of Knowledge

Search

In silico epitope prediction of Borrelia burgdorferi sensu lato antigens for the detection of specific antibodies

Abstract

Despite many years of research, serodiagnosis of Lyme disease still faces many obstacles. Difficulties arise mainly due to the low degree of amino acid sequence conservation of the most immunogenic antigens among B. burgdorferi s.l. genospecies, as well as differences in protein production depending on the environment in which the spirochete is located. Mapping B-cell epitopes located on antigens allows for a better understanding of antibody-pathogen interactions which is essential for the development of new and more effective diagnostic tools. In this study, in silico B-cell epitope mapping was performed to determine the theoretical diagnostic potential of selected B. burgdorferi s.l. proteins (BB0108, BB0126, BB0298, BB0689, BB0323, FliL, PstS, SecD, EF-Tu). Bioinformatics software predicted 35 conserved linear and 31 conformational epitopes with the degree of identity among B. burgdorferi s.l. of at least 85%, which may prove to be useful in the development of a new tool for the diagnosis of Lyme disease.

Citations

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
JOURNAL OF IMMUNOLOGICAL METHODS no. 524,
ISSN: 0022-1759
Language:
English
Publication year:
2024
Bibliographic description:
Grąźlewska W., Sołowińska K., Holec-Gąsior L.: In silico epitope prediction of Borrelia burgdorferi sensu lato antigens for the detection of specific antibodies// JOURNAL OF IMMUNOLOGICAL METHODS -,iss. 524 (2024), s.113596-
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.jim.2023.113596
Sources of funding:
  • COST_FREE
Verified by:
Gdańsk University of Technology

seen 16 times

Recommended for you

Meta Tags