Mohammad M. Tarek
Association of Egyptian-American Scholars
Background:
XAG-1b is shown to be overexpressed in lung adenocarcinoma and to be immunogenic among cases, regarded as one of the most immunogenic antigens. Despite its importance in Cancer research, the 3D structure of this protein is not available and its confirmation hasn’t been solved experimentally yet.
Purpose:
This study aims to build the 3D structure of XAGE-1b and design potential vaccines for NSCLC using computational methods.
Methods. Multiple sequence alignment was run to select most reliable modeling templates and homology modeling technique was performed using computer-based tool to generate 3D structure models, eight models were generated and assessed on basis of local quality of predicted models. Epitope prediction methods of IEDB were considered to detect potential antigenic determinants on basis of potent epitope based vaccine components.
Results:
Computational prediction was performed for B cell epitopes generated 3 linear epitopes where XAGE -1b (13-21) has the best score of 0.67 , 5 discontinuous epitopes where XAGE-1b (40-52) has the best score of 0.67 based on the predicted model of the finest quality. For a potential vaccine design, computational predication of Cytotoxic T-lymphocytes and Thelper cells was done yielding potential HLA Class I epitopes where XAGE-1b (3-11) was the best of 0.2 percentile rank and HLA-Class II epitopes where XAge-1b was the best with 5.91 IC50 (25-33) epitopes, so these epitopes are promising to induce desired immune response against XAGE-1b.
Conclusion:
The contributions of this study can be very useful for demonstrating the tertiary structure of XAGE-1b which helps us to determine its function and using the suggested peptides for epitope vaccine designing and development against NSCLC.
This article was published in 3alamaltanmya
sponsored by Future Builders International Academy
Led by Dr.Maha Fouad
