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Tohoku University Technology: Prediction Algorithm of Virus Mutation: T20-434

Face the pathogens like SARS-Cov-2

To develop novel and effective diagnostic/therapeutic solutions against pathogenic viruses like SARS-Cov-2 in which the mutation frequencies are high, the technologies which enables to predict possible mutations before the spread of pathogenic variants with said mutations is required. In SARS-Cov-2, a trend in mutations was found by the analysis of various genomes from variants reported so far (reference 1), suggesting that this may be useful to identify possible mutation sites. 　This invention disclose the methods and programs to predict the site and the mutations therein in virus genome in the future by AI-based model developed by using above trend for leaning.