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In silico prediction of T- and B-cell epitopes in PmpD: First step towards to the design of a Chlamydia trachomatis vaccine

Authors :
Romina Cecilia Russi
Elian Bourdin
María Inés García
Carolina Melania I. Veaute
Source :
Biomedical Journal, Vol 41, Iss 2, Pp 109-117 (2018)
Publication Year :
2018
Publisher :
Elsevier, 2018.

Abstract

Background: Chlamydia trachomatis is the most common sexually transmitted bacterial infection globally. Currently, there are no vaccines available despite the efforts made to develop a protective one. Polymorphic membrane protein D (PmpD) is an attractive immunogen candidate as it is conserved among strains and it is target of neutralizing antibodies. However, its high molecular weight and its complex structure make it difficult to handle by recombinant DNA techniques. Our aim is to predict B-cell and T-cell epitopes of PmpD. Method: A sequence (Genbank AAK69391.2) having 99–100% identity with various serovars of C. trachomatis was used for predictions. NetMHC and NetMHCII were used for T-cell epitope linked to MHC I or MHC II alleles prediction, respectively. BepiPred predicted linear B-cell epitopes. For three dimensional epitopes, PmpD was homology-modeled by Raptor X. Surface epitopes were predicted on its globular structure using DiscoTope. Results: NetMHC predicted 271 T-cell epitopes of 9-12aa with weak affinity, and 70 with strong affinity to MHC I molecules. NetMHCII predicted 2903 T-cell epitopes of 15aa with weak affinity, and 742 with strong affinity to MHC II molecules. Twenty four linear B-cell epitopes were predicted. Raptor X was able to model 91% of the three-dimensional structure whereas 57 residues of discontinuous epitopes were suggested by DiscoTope. Six regions containing B-cell and T-cell epitopes were identified by at least two predictors. Conclusions: PmpD has potential B-cell and T-cell epitopes distributed throughout the sequence. Thus, several fragments were identified as valuable candidates for subunit vaccines against C. trachomatis.

Details

Language :
English
ISSN :
23194170
Volume :
41
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Biomedical Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.401284aaa8f4de186886d06f533dac0
Document Type :
article
Full Text :
https://doi.org/10.1016/j.bj.2018.04.007