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.
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The revenue generated from technology transfer is reinvested into universities and researchers as new research funding, which is used to create further research outcomes. To ensure the smooth operation of this cycle, known as the "Intellectual Creation Cycle," we will actively promote technology transfer. The types of seeds we handle include patents, know-how, databases, and programs. We have established a collaborative framework by concluding basic technology transfer agreements with the following universities (as of April 1, 2026): - Tohoku University - Hirosaki University - Iwate University - Akita University - Fukushima University - Yamagata University - Tohoku Gakuin University - Iwate Medical University - Fukushima Medical University - Aizu University - Miyagi University - Hokkaido University - Muroran Institute of Technology - Showa Medical University - Asahikawa Medical University
