Structural analysis and epitope prediction of MHC class-1-chain related protein-a for cancer vaccine development

Tayo Alex Adekiya, Raphael Taiwo Aruleba, Sbonelo Khanyile, Priscilla Masamba, Babatunji Emmanuel Oyinloye, Abidemi Paul Kappo

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


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.

Original languageEnglish
Article number1
Issue number1
Publication statusPublished - Mar 2018
Externally publishedYes


  • 3-D structure
  • Antigenic peptides
  • Bioinformatics
  • Cancer
  • Epitopes
  • MIC-A
  • Vaccine

ASJC Scopus subject areas

  • Immunology
  • Pharmacology
  • Drug Discovery
  • Infectious Diseases
  • Pharmacology (medical)


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