Mostrar el registro sencillo del ítem

dc.contributor.author
Russi, Romina Cecilia  
dc.contributor.author
Bourdin, Elian Daniel  
dc.contributor.author
Garcia, Maria Ines  
dc.contributor.author
Veaute, Carolina Melania Isabel  
dc.date.available
2019-11-29T18:57:03Z  
dc.date.issued
2018-04  
dc.identifier.citation
Russi, Romina Cecilia; Bourdin, Elian Daniel; Garcia, Maria Ines; Veaute, Carolina Melania Isabel; In silico prediction of T- and B-cell epitopes in PmpD: First step towards to the design of a Chlamydia trachomatis vaccine; Elsevier; Biomedical Journal; 41; 2; 4-2018; 109-117  
dc.identifier.issn
2319-4170  
dc.identifier.uri
http://hdl.handle.net/11336/90975  
dc.description.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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
B-CELL EPITOPE  
dc.subject
CHLAMYDIA TRACHOMATIS  
dc.subject
EPITOPE PREDICTION  
dc.subject
MOLECULAR MODELING  
dc.subject
T-CELL EPITOPE  
dc.subject
VACCINE  
dc.subject.classification
Inmunología  
dc.subject.classification
Medicina Básica  
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
In silico prediction of T- and B-cell epitopes in PmpD: First step towards to the design of a Chlamydia trachomatis vaccine  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-10-28T16:49:35Z  
dc.journal.volume
41  
dc.journal.number
2  
dc.journal.pagination
109-117  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Russi, Romina Cecilia. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina  
dc.description.fil
Fil: Bourdin, Elian Daniel. Profesional independiente; Argentina  
dc.description.fil
Fil: Garcia, Maria Ines. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina  
dc.description.fil
Fil: Veaute, Carolina Melania Isabel. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina  
dc.journal.title
Biomedical Journal  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://linkinghub.elsevier.com/retrieve/pii/S2319417017300380  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.bj.2018.04.007