(2022) Towards the First Multiepitope Vaccine Candidate against Neospora caninum in Mouse Model: Immunoinformatic Standpoint. Biomed Research International. p. 15. ISSN 2314-6133
Full text not available from this repository.
Abstract
Neospora caninum is an economically significant parasite among livestock, particularly in dairy cattle herds, causing storm abortions. Vaccination seems necessary to limit the infection and its harsh consequences. This is the first steps towards developing a multiepitope vaccine candidate against N. caninum using in silico approaches. High-ranked mouse MHC-binding and shared linear B-cell epitopes from six proteins (SRS2, MIC3, MIC6, GRA1, IMP-1, and profilin) as well as IFN-gamma-inducing epitopes (from SAG1) were predicted, screened, and connected together through appropriate linkers. Finally, RS-09 protein (TLR4 agonist) and histidine tag were added to N- and C-terminal of the vaccine sequence, yielding 486 residues in length. Physicochemical properties showed a stable (instability index: 27.23), highly soluble, antigenic (VaxiJen score: 0.9554), and nonallergenic candidate. Secondary structure of the multiepitope protein included 58.85 random coil, 20.99 extended strand, and 20.16 alpha helix. Also, the tertiary structure was predicted, and further analyses validated a stable interaction between the vaccine model and mouse TLR4 (binding score: -1261.6). Virtual simulation of immune profile demonstrated potently stimulated humoral (IgG+IgM) and cell-mediated (IFN-gamma) responses upon multiepitope vaccine injection. Altogether, a potentially immunogenic vaccine candidate was developed using several N. caninum proteins, with the capability to elicit IFN-gamma upsurge and other components of cellular immunity, and can be used in prophylactic purposes against neosporosis.
Item Type: | Article | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Creators: |
|
||||||||||||||||
Keywords: | host-parasite relationship b-cell epitopes definitive hosts infection prediction proteins cattle acid mice web Biotechnology & Applied Microbiology Research & Experimental Medicine | ||||||||||||||||
Divisions: | |||||||||||||||||
Page Range: | p. 15 | ||||||||||||||||
Journal or Publication Title: | Biomed Research International | ||||||||||||||||
Journal Index: | ISI | ||||||||||||||||
Volume: | 2022 | ||||||||||||||||
Identification Number: | https://doi.org/10.1155/2022/2644667 | ||||||||||||||||
ISSN: | 2314-6133 | ||||||||||||||||
Depositing User: | مهندس مهدی شریفی | ||||||||||||||||
URI: | http://eprints.medilam.ac.ir/id/eprint/4026 |
Actions (login required)
View Item |