Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development
Major histocompatibility complex class 1 chain-related gene sequence A is a polymorphic gene found at about 46.6 kb centromeric to HLA-B. It encodes a transmembrane protein, which is a non-classical human leukocyte antigen whose expression is normally induced by stress conditions like cancer and vir...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-12-01
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| Series: | Vaccines |
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| Online Access: | https://www.mdpi.com/2076-393X/6/1/1 |
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| author | Tayo Alex Adekiya Raphael Taiwo Aruleba Sbonelo Khanyile Priscilla Masamba Babatunji Emmanuel Oyinloye Abidemi Paul Kappo |
| author_facet | Tayo Alex Adekiya Raphael Taiwo Aruleba Sbonelo Khanyile Priscilla Masamba Babatunji Emmanuel Oyinloye Abidemi Paul Kappo |
| author_sort | Tayo Alex Adekiya |
| collection | DOAJ |
| description | Major histocompatibility complex class 1 chain-related gene sequence A is a polymorphic gene found at about 46.6 kb centromeric to HLA-B. It encodes a transmembrane protein, which is a non-classical human leukocyte antigen whose expression is normally induced by stress conditions like cancer and viral infections. The expression of MIC-A leads to the activation of NKG2D receptors of natural killer and T cells, leading to the generation of innate immune response that can easily eliminate/cleanse tumour cells and other cells that express the protein. Several bioinformatics and immunoinformatics tools were used to analyse the sequence and structure of the MIC-A protein. These tools were used in building and evaluating modelled structure of MIC-A, and to predict several antigenic determinant sites on the protein. The MIC-A protein structure generated an average antigenic propensity of 1.0289. Additionally, the hydrophilic regions on the surface of the MIC-A protein where antibodies can be attached were revealed. A total of fourteen antigenic epitopes were predicted, with six found in the transmembrane protein topology, and are predicted to play a role in the development of vaccines that can reactivate the functionalities of the MIC-A protein on the surface of cancer cells in order to elicit a desired immune response. |
| first_indexed | 2024-04-11T21:59:24Z |
| format | Article |
| id | doaj.art-508f8f4689864868a7efeb8d448761b7 |
| institution | Directory Open Access Journal |
| issn | 2076-393X |
| language | English |
| last_indexed | 2024-04-11T21:59:24Z |
| publishDate | 2017-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Vaccines |
| spelling | doaj.art-508f8f4689864868a7efeb8d448761b72022-12-22T04:01:00ZengMDPI AGVaccines2076-393X2017-12-0161110.3390/vaccines6010001vaccines6010001Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine DevelopmentTayo Alex Adekiya0Raphael Taiwo Aruleba1Sbonelo Khanyile2Priscilla Masamba3Babatunji Emmanuel Oyinloye4Abidemi Paul Kappo5Biotechnology and Structural Biology (BSB) Group, Department of Biochemistry and Microbiology, University of Zululand, KwaDlangezwa 3886, South AfricaBiotechnology and Structural Biology (BSB) Group, Department of Biochemistry and Microbiology, University of Zululand, KwaDlangezwa 3886, South AfricaBiotechnology and Structural Biology (BSB) Group, Department of Biochemistry and Microbiology, University of Zululand, KwaDlangezwa 3886, South AfricaBiotechnology and Structural Biology (BSB) Group, Department of Biochemistry and Microbiology, University of Zululand, KwaDlangezwa 3886, South AfricaBiotechnology and Structural Biology (BSB) Group, Department of Biochemistry and Microbiology, University of Zululand, KwaDlangezwa 3886, South AfricaBiotechnology and Structural Biology (BSB) Group, Department of Biochemistry and Microbiology, University of Zululand, KwaDlangezwa 3886, South AfricaMajor histocompatibility complex class 1 chain-related gene sequence A is a polymorphic gene found at about 46.6 kb centromeric to HLA-B. It encodes a transmembrane protein, which is a non-classical human leukocyte antigen whose expression is normally induced by stress conditions like cancer and viral infections. The expression of MIC-A leads to the activation of NKG2D receptors of natural killer and T cells, leading to the generation of innate immune response that can easily eliminate/cleanse tumour cells and other cells that express the protein. Several bioinformatics and immunoinformatics tools were used to analyse the sequence and structure of the MIC-A protein. These tools were used in building and evaluating modelled structure of MIC-A, and to predict several antigenic determinant sites on the protein. The MIC-A protein structure generated an average antigenic propensity of 1.0289. Additionally, the hydrophilic regions on the surface of the MIC-A protein where antibodies can be attached were revealed. A total of fourteen antigenic epitopes were predicted, with six found in the transmembrane protein topology, and are predicted to play a role in the development of vaccines that can reactivate the functionalities of the MIC-A protein on the surface of cancer cells in order to elicit a desired immune response.https://www.mdpi.com/2076-393X/6/1/1antigenic peptidesbioinformaticscancerMIC-Avaccine3-D structureepitopes |
| spellingShingle | Tayo Alex Adekiya Raphael Taiwo Aruleba Sbonelo Khanyile Priscilla Masamba Babatunji Emmanuel Oyinloye Abidemi Paul Kappo Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development Vaccines antigenic peptides bioinformatics cancer MIC-A vaccine 3-D structure epitopes |
| title | Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development |
| title_full | Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development |
| title_fullStr | Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development |
| title_full_unstemmed | Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development |
| title_short | Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development |
| title_sort | structural analysis and epitope prediction of mhc class 1 chain related protein a for cancer vaccine development |
| topic | antigenic peptides bioinformatics cancer MIC-A vaccine 3-D structure epitopes |
| url | https://www.mdpi.com/2076-393X/6/1/1 |
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