In silico prediction of the epitopes for the immunogenic proteins present in Mycobacterium avium subsp. paratuberculosis
Johne’s disease caused by Mycobacterium avium subsp. paratuberculosis is a widespread problem in ruminants worldwide. Diagnosis of the disease during the early stages of infection is difficult. In search of newer proteins with antigenic and immunogenic characters, in silico epitope analysis of the...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Indian Council of Agricultural Research
2020-03-01
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| Series: | Indian Journal of Animal Sciences |
| Subjects: | |
| Online Access: | https://epubs.icar.org.in/index.php/IJAnS/article/view/98766 |
| _version_ | 1797896736750960640 |
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| author | D SWATHI S SARANYA A RAJA K VIJAYARANI K KUMANAN |
| author_facet | D SWATHI S SARANYA A RAJA K VIJAYARANI K KUMANAN |
| author_sort | D SWATHI |
| collection | DOAJ |
| description | Johne’s disease caused by Mycobacterium avium subsp. paratuberculosis is a widespread problem in ruminants worldwide. Diagnosis of the disease during the early stages of infection is difficult. In search of newer proteins with antigenic and immunogenic characters, in silico epitope analysis of the immunogenic proteins was performed which identifies the proteins expressed during the early stages of infection and which could stimulate cell mediated immune response. T cell epitopes were predicted for the six immunogenic proteins and the epitopes were sorted based on the percentile ranking and repetition among MHC Class I alleles. 3D modeling and protein-protein interaction studies revealed that ELPLPQTYVD, DVVGYDRTQD, PDLQSVLGATPGAG, DGLRAQDD, DGLRAQDD and PGHVTDD epitopes interact with the MHC Class I molecule through hydrogen bonding. These epitopes are identified as potent candidates for the immunodiagnostic studies and could be further evaluated using in vitro studies. |
| first_indexed | 2024-04-10T07:47:31Z |
| format | Article |
| id | doaj.art-45d399e5eee24e5e9c006737f2b14990 |
| institution | Directory Open Access Journal |
| issn | 0367-8318 2394-3327 |
| language | English |
| last_indexed | 2024-04-10T07:47:31Z |
| publishDate | 2020-03-01 |
| publisher | Indian Council of Agricultural Research |
| record_format | Article |
| series | Indian Journal of Animal Sciences |
| spelling | doaj.art-45d399e5eee24e5e9c006737f2b149902023-02-23T10:27:54ZengIndian Council of Agricultural ResearchIndian Journal of Animal Sciences0367-83182394-33272020-03-0190210.56093/ijans.v90i2.98766In silico prediction of the epitopes for the immunogenic proteins present in Mycobacterium avium subsp. paratuberculosisD SWATHI0S SARANYA1A RAJA2K VIJAYARANI3K KUMANAN4Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu 600 051 IndiaTamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu 600 051 IndiaTamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu 600 051 IndiaProfessor and Head, Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu 600 051 IndiaProfessor and Head, Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu 600 051 IndiaJohne’s disease caused by Mycobacterium avium subsp. paratuberculosis is a widespread problem in ruminants worldwide. Diagnosis of the disease during the early stages of infection is difficult. In search of newer proteins with antigenic and immunogenic characters, in silico epitope analysis of the immunogenic proteins was performed which identifies the proteins expressed during the early stages of infection and which could stimulate cell mediated immune response. T cell epitopes were predicted for the six immunogenic proteins and the epitopes were sorted based on the percentile ranking and repetition among MHC Class I alleles. 3D modeling and protein-protein interaction studies revealed that ELPLPQTYVD, DVVGYDRTQD, PDLQSVLGATPGAG, DGLRAQDD, DGLRAQDD and PGHVTDD epitopes interact with the MHC Class I molecule through hydrogen bonding. These epitopes are identified as potent candidates for the immunodiagnostic studies and could be further evaluated using in vitro studies.https://epubs.icar.org.in/index.php/IJAnS/article/view/98766Immunogenic proteins3D modelingMycobaterium aviumT cell EpitopesZDock |
| spellingShingle | D SWATHI S SARANYA A RAJA K VIJAYARANI K KUMANAN In silico prediction of the epitopes for the immunogenic proteins present in Mycobacterium avium subsp. paratuberculosis Indian Journal of Animal Sciences Immunogenic proteins 3D modeling Mycobaterium avium T cell Epitopes ZDock |
| title | In silico prediction of the epitopes for the immunogenic proteins present in Mycobacterium avium subsp. paratuberculosis |
| title_full | In silico prediction of the epitopes for the immunogenic proteins present in Mycobacterium avium subsp. paratuberculosis |
| title_fullStr | In silico prediction of the epitopes for the immunogenic proteins present in Mycobacterium avium subsp. paratuberculosis |
| title_full_unstemmed | In silico prediction of the epitopes for the immunogenic proteins present in Mycobacterium avium subsp. paratuberculosis |
| title_short | In silico prediction of the epitopes for the immunogenic proteins present in Mycobacterium avium subsp. paratuberculosis |
| title_sort | in silico prediction of the epitopes for the immunogenic proteins present in mycobacterium avium subsp paratuberculosis |
| topic | Immunogenic proteins 3D modeling Mycobaterium avium T cell Epitopes ZDock |
| url | https://epubs.icar.org.in/index.php/IJAnS/article/view/98766 |
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