- 专利标题: Neural network for processing aptamer data
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申请号: US16752513申请日: 2020-01-24
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公开(公告)号: US11670400B2公开(公告)日: 2023-06-06
- 发明人: Michelle Therese Hoerner Dimon , Marc Berndl , Marc Adlai Coram , Brian Trippe , Patrick F. Riley , Philip Charles Nelson
- 申请人: Google LLC
- 申请人地址: US CA Mountain View
- 专利权人: Google LLC
- 当前专利权人: Google LLC
- 当前专利权人地址: US CA Mountain View
- 代理机构: Fish & Richardson P.C.
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G16B40/20 ; G16B40/00 ; G06N3/045
摘要:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for obtaining data defining a sequence for an aptamer, the aptamer comprising a string of nucleobases; encoding the data defining the sequence for the aptamer as a neural network input; and processing the neural network input using a neural network to generate an output that characterizes how strongly the aptamer binds to a particular target molecule, wherein the neural network has been configured through training to receive the data defining the sequence and to process the data to generate predicted outputs that characterize how strongly the aptamer binds to the particular target molecule.
公开/授权文献
- US20200160937A1 NEURAL NETWORK FOR PROCESSING APTAMER DATA 公开/授权日:2020-05-21
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