| 发明名称 |
NEURAL NETWORK FOR PROCESSING APTAMER DATA |
| 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. |
| 申请公布号 |
US2017116371(A1) |
申请公布日期 |
2017.04.27 |
| 申请号 |
US201514921973 |
申请日期 |
2015.10.23 |
| 申请人 |
Google Inc. |
发明人 |
Dimon Michelle Therese Hoerner;Berndl Marc;Coram Marc Adlai;Trippe Brian;Riley Patrick F.;Nelson Philip Charles |
| 分类号 |
G06F19/24;G06N3/08 |
主分类号 |
G06F19/24 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A method comprising:
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. |
| 地址 |
Mountain View CA US |
