STRUCTURAL ANALYSIS AND EPITOPE PREDICTION OF MHC CLASS-1-CHAIN RELATED PROTEIN-A FOR CANCER VACCINE DEVELOPMENT

Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development

Structural Analysis and Epitope Prediction of MHC Class-1-Chain Related Protein-A for Cancer Vaccine Development

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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 click here 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 houston texans shorts 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.

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