Title:
ＭＨＣペプチド結合予測のためのＧＡＮ－ＣＮＮ
Document Type and Number:
Japanese Patent JP7047115
Kind Code:
B2
Abstract:
Methods for training a generative adversarial network (GAN) in conjunction with a convolutional neural network (CNN) are disclosed. The GAN and the CNN can be trained using biological data, such as protein interaction data. The CNN can be used for identifying new data as positive or negative. Methods are disclosed for synthesizing a polypeptide associated with new protein interaction data identified as positive.
Inventors:
Wang, Shinjan
Fan, in
One way
Chao, Qi
Fan, in
One way
Chao, Qi
Application Number:
JP2020543800A
Publication Date:
April 04, 2022
Filing Date:
February 18, 2019
Export Citation:
Assignee:
REGENERON PHARMACEUTICALS, INC.
International Classes:
G06N3/08; G16B20/30
Foreign References:
| US20180028294 |
Attorney, Agent or Firm:
Makoto Onda
Hironobu Onda
Atsushi Honda
Nakamura Miki
Hironobu Onda
Atsushi Honda
Nakamura Miki
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