Cell strain similarity evaluation method and similar cell strain culture medium formula recommendation method

A technology of medium formulation and evaluation method, applied in the field of similar cell line medium formulation recommendation and cell line similarity evaluation, which can solve the problem that the similarity of cell lines cannot be used, shorten the experimental practice, and cannot quantitatively evaluate the similarity of cell lines, etc. problems, to achieve the effect of shortening the experimental groping practice, reducing the groping range, good accuracy and generalization ability

Pending Publication Date: 2022-04-15
SHENZHEN TAILI BIOTECHNOLOGY CO LTD
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Problems solved by technology

[0007] Aiming at the above deficiencies or improvement needs of the prior art, the present invention provides a method for evaluating similarity of cell lines and a method for recommending medium formulations of similar cell lines. The mathematical model is self-learning and fitting, and the characteristics of the cell lines are mathematically vectorized to quantitatively evaluate the similarity of similar c

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  • Cell strain similarity evaluation method and similar cell strain culture medium formula recommendation method
  • Cell strain similarity evaluation method and similar cell strain culture medium formula recommendation method
  • Cell strain similarity evaluation method and similar cell strain culture medium formula recommendation method

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[0039] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0040]The present invention refers to the vectorization method in the field of NLP and recommendation system, converts different cell lines into vectorized features, and evaluates the similarity of the vectorized features of cell lines, so as to effectively quantitatively analyze the similarity between cell lines. On this basis, the similarity between cell lines is used to recommend suitable medium formulations, thereby ...

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Abstract

The invention discloses a cell strain similarity evaluation method and a similar cell strain culture medium formula recommendation method. And cell strain characteristics are learned from cell parallel experiment data by using cell strain culture, metabolism and other data by adopting an AI technology, so that the similarity of the cell strains is quantitatively evaluated, and the method has good accuracy and generalization ability. The quantitative cell strain similarity can be used for providing related historical data reference for same and similar cell experiments, and even directly providing related experimental guidance, so that the experimental exploration range is reduced, the experimental time is shortened, and the experimental efficiency is improved. And cell culture medium formula recommendation is performed by utilizing a cell strain similarity analysis technology, so that historical culture medium formula data can be directly utilized, additional culture medium formula data does not need to be added, and the efficiency is further improved.

Description

technical field [0001] The invention belongs to the field of biotechnology, and more specifically relates to a method for evaluating similarity of cell lines and a method for recommending a culture medium formula for similar cell lines. Background technique [0002] From the perspective of artificial intelligence modeling, there are various types of cell lines. Taking CHO cells as an example, the types of CHO cell lines include CHO-K1, CHO-DG44, CHO-GS, etc. The protein expression of CHO cell lines is as follows: The difference between fusion protein, monoclonal antibody, and double antibody, and the content and proportion of various amino acids in the protein are also different. In addition, there are also differences in the shape and size of cell lines. Therefore, there are more or less differences in the characteristics of different cell lines. [0003] Diverse cell lines will present great difficulties in terms of evaluation standards, data analysis and processing. On ...

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Application Information

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IPC IPC(8): G16B40/00G06K9/62G06N3/08
CPCY02P90/30
Inventor 梁楚亨张祥涛陈亮黄贺声梁国龙
Owner SHENZHEN TAILI BIOTECHNOLOGY CO LTD
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