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Title:
HETEROGENEITY-BASED CELL METABOLIC NETWORK MODELING METHOD AND USE THEREOF
Document Type and Number:
WIPO Patent Application WO/2024/016407
Kind Code:
A1
Abstract:
A heterogeneity-based cell metabolic network modeling method and the use thereof in cell physiological response prediction and cell design. The method comprises: collecting single-cell data on the basis of heterogeneity; processing the single-cell data; and constructing a cell metabolic model on the basis of artificial intelligence (AI). The method has the characteristics of a large data volume and a high collection flux, and can directly perform, on a complex metabolic network, parsing and learning based on data and AI, so as to establish a calculable and predictable cell model, such that physiological response prediction and rational design can be performed on cells.

Inventors:
TAO FEI (CN)
MENG XUANLIN (CN)
XU PING (CN)
Application Number:
PCT/CN2022/112025
Publication Date:
January 25, 2024
Filing Date:
August 12, 2022
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Assignee:
UNIV SHANGHAI JIAOTONG (CN)
International Classes:
G16H50/30
Foreign References:
CN113160986A2021-07-23
CN114019010A2022-02-08
CN113989294A2022-01-28
CN111341382A2020-06-26
CN112466401A2021-03-09
US20160314580A12016-10-27
Attorney, Agent or Firm:
SUNRAY INTELLECTUAL PROPERTY ATTORNEYS (CN)
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