INTERPRETABLE RNA FOUNDATION MODEL FOR RNA STRUCTURE AND FUNCTION PREDICTIONS

    公开(公告)号:US20240331798A1

    公开(公告)日:2024-10-03

    申请号:US18619010

    申请日:2024-03-27

    Inventor: Yu LI Jiayang CHEN

    CPC classification number: G16B15/10 G16B40/20 G16B40/30

    Abstract: A foundation model for analysis of RNA sequences, including ncRNA sequences, can be trained to provide output embeddings (in a high-dimensional space) corresponding to input RNA sequences. Training of the RNA foundation model can use a large-scale dataset of RNA sequences without any annotation as to structure or function. The trained RNA foundation model can thereafter be used to produce embeddings that can be used as input features in downstream task-specific machine-learning models (or other computer models) that can learn to predict particular aspects of structure and/or function for a given RNA sequence.

Patent Agency Ranking