NEC Corporation has recently announced analysis results from efforts using AI prediction platforms to design blueprints for SARS-CoV-2 vaccines that can drive potent T-cell responses in the majority of the global population.
This initiative by the scientific teams within the NEC Group to help combat outbreaks of COVID-19 and support international vaccine development efforts is led by NEC OncoImmunity (NOI) in collaboration with NEC Laboratories Europe (NLE).
These AI prediction platforms are based on the AI technology used by NEC and NOI in the development of personalized neoantigen cancer vaccines.
“We are pleased that NEC’s AI technology can contribute to the resolution of serious problems facing the world today. As a company that seeks to enhance the well-being of society, NEC will continue to capitalize on research and development that maximizes the strengths of our AI technology to help prevent the spread of COVID-19. In collaboration with companies and institutions around the world, we aim to enable people to live their daily lives with as much safety and security as possible,” said Motoo Nishihara, Executive Vice President and Chief Technology Officer at NEC.
During the analysis, which is published at bioRxiv, the team analyzed thousands of sequences from the SARS-CoV-2 virus (responsible for causing COVID-19) and identified epitopes (potential vaccine targets) for the 100 most frequent HLA alleles (diverse immunological makeup) in the global population. The prediction algorithms scanned for epitopes across the entire repertoire of proteins in SARS-CoV-2, not only the spike surface protein that gives this family of coronavirus its name. The team then used this data to identify “hotspots” in the viral proteome that contained overlapping and co-located epitopes from multiple HLA-alleles.
The optimal constellation of “hotspots” was then selected by their algorithms to generate the optimal immune response with the broadest coverage of the human population, whilst prioritizing hotspots that occurred in conserved regions of the viral proteome. These conserved regions are less likely to mutate in future strains. In addition, hotspots containing viral epitopes that had significant similarity with human proteins, especially those expressed in critical organs, were removed from the vaccine design blueprints to avoid adverse effects.
The analysis demonstrates the significant capabilities of the NEC Group to leverage their AI platforms to design blueprints for a vaccine that is safe and efficacious in a global population and could address the current and future divergent strains of the SARS-CoV-2 virus.
NEC is now publishing this research to support scientific advancements in the field and is ready to start partnering efforts to pursue the development of an effective vaccine targeting the global population.