bioRxivBioinformaticsPreprint
COVID19: Exploring uncommon epitopes for a stable immune response through MHC1 binding
Folagbade AbitoguniD, R. Srivastava, Saurabh SharmaiD, Viktoriia KomarystaiD, Eva AkurutiD, N. Munir, Lawrence S. MacalaladiD, O. Olawale, Olumuyiwa OwolabiiD, Gabriel Olaoluwa AbayomiiD, S. Debnath
Abstract
The COVID19 pandemic has resulted in 1,092,342 deaths as of 14th October 2020, indicating the urgent need for a vaccine. This study highlights novel protein sequences generated by shot gun sequencing protocols that could serve as potential antigens in the development of novel subunit vaccines and through a stringent inclusion criterion, we characterized these protein sequences and predicted their 3D structures. We found distinctly antigenic sequences from the SARS-CoV-2 that have led to identification of 4 proteins that demonstrate an advantageous binding with Human leukocyte antigen-1 molecules. Results show how previously unexplored proteins may serve as better candidates for subunit vaccine development due to their high stability and immunogenicity, reinforce by their HLA-1 binding propensities and low global binding energies. This study thus takes a unique approach towards furthering the development of vaccines by employing multiple consensus strategies involved in immuno-informatics technique.
- organism: human
- assay: proteomics
- research focus: drug response / drug discovery
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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