Title:
GENETIC CIRCUIT SIMULATING ARTIFICIAL NEURAL NETWORK AND CONSTRUCTION METHOD THEREFOR
Document Type and Number:
WIPO Patent Application WO/2020/253547
Kind Code:
A1
Abstract:
A genetic circuit simulating an artificial neural network, comprising at least one input layer (100), at least two hidden layers (210, 220), and at least one output layer (300). The input layer (100) comprises several input layer nodes, each of the hidden layers (210, 220) comprises several hidden layer nodes, the output layer (300) comprises several output layer nodes, input vectors of each input layer (100) node comprise a promoter and an input gene, each hidden layer (210, 220) node comprises a hidden layer gene, and each hidden layer gene is regulated and controlled by the promoter of the gene of the layer or a gene product of the gene of the previous layer; the output node outputs a genetic circuit result; the regulation and control to the hidden layer (210, 220) gene and the output layer (300) node by the product of the gene of the previous layer conforms with an excitation function; the regulation and control to the input layer (100) node by the input promoter conforms with an excitation function. A genetic circuit structure is used to simulate an artificial neural network, so that complex operation is simulated at the molecular level, and complex application in the fields of biology, medicine, chemistry, electronics and the like is achieved.
Inventors:
CHI U SEAK (CN)
LO LOK IN (CN)
KUO WAI KEUNG (CN)
LO LOK IN (CN)
KUO WAI KEUNG (CN)
Application Number:
PCT/CN2020/094416
Publication Date:
December 24, 2020
Filing Date:
June 04, 2020
Export Citation:
Assignee:
CHI U SEAK (CN)
International Classes:
G06N3/00
Foreign References:
| CN110363276A | 2019-10-22 | |||
| CN108388768A | 2018-08-10 | |||
| CN108733981A | 2018-11-02 | |||
| US20190156159A1 | 2019-05-23 | |||
| CN108197432A | 2018-06-22 |
Other References:
"Breast Cancer: Multiple subtypes Within A Tumor?", TRENDS IN CANCER, vol. 3, no. 11, 2017, pages 753 - 7760
YEO SYN KOKGUAN JUN-LIN: "Pan- cancer inference of intra-tumor heterogeneity reveals associations with different forms of genomic instability", GERANIUM GENETICS, vol. 14, no. 9, 2018
MELTINS PHILIPPON: "Proteogenomics connects somatic mutations to signalling in breast cancer", NATURE, vol. 534, no. 7605, 2016, pages 7605
MELTINS PHILIPPON ET AL.: "Proteogenomics,'' Proteogenomics and Connections to Signalling in Breast Cancer", NATURE, vol. 534, no. 7605, 2016, pages 55
LIU ZHEROBERT TJJIAN: "Visual Transcription Factor Dynamics in Moving Cells", J CELL BIOL., vol. 217, 2018, pages 1181 - 1191
KIM HAROLD D: "Transcriptional regulatory circuits: predicting numbers from alphabets", SCIENCE, vol. 325, no. 5939, 2009, pages 429 - 432
ZEB B. S: "Assessment of combined toxicity of heavy metals from industrial wastewaters on Photobacterium phosphoreum T3S", APPLIED WATER SCIENCE, vol. 7, 2017, pages 2043 - 2050
See also references of EP 3989123A4
YEO SYN KOKGUAN JUN-LIN: "Pan- cancer inference of intra-tumor heterogeneity reveals associations with different forms of genomic instability", GERANIUM GENETICS, vol. 14, no. 9, 2018
MELTINS PHILIPPON: "Proteogenomics connects somatic mutations to signalling in breast cancer", NATURE, vol. 534, no. 7605, 2016, pages 7605
MELTINS PHILIPPON ET AL.: "Proteogenomics,'' Proteogenomics and Connections to Signalling in Breast Cancer", NATURE, vol. 534, no. 7605, 2016, pages 55
LIU ZHEROBERT TJJIAN: "Visual Transcription Factor Dynamics in Moving Cells", J CELL BIOL., vol. 217, 2018, pages 1181 - 1191
KIM HAROLD D: "Transcriptional regulatory circuits: predicting numbers from alphabets", SCIENCE, vol. 325, no. 5939, 2009, pages 429 - 432
ZEB B. S: "Assessment of combined toxicity of heavy metals from industrial wastewaters on Photobacterium phosphoreum T3S", APPLIED WATER SCIENCE, vol. 7, 2017, pages 2043 - 2050
See also references of EP 3989123A4
Attorney, Agent or Firm:
SHENZHEN STANDARD PATENT & TRADEMARK AGENT LTD. (CN)
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