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Method for predicting flu antigen through model and application thereof

An influenza antigen and model prediction technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as poor results and achieve high sensitivity

Active Publication Date: 2012-07-18
STATION OF VIRUS PREVENTION & CONTROL CHINA DISEASES PREVENTION & CONTROL CENT +1
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, the shortcomings of these site-based prediction methods are obvious: the rules obtained in the corresponding time period are only applicable to the data in the corresponding time period, and the effect will be poor when used in other time periods

Method used

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  • Method for predicting flu antigen through model and application thereof
  • Method for predicting flu antigen through model and application thereof
  • Method for predicting flu antigen through model and application thereof

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Embodiment Construction

[0026] The method for predicting influenza antigen by model of the present invention, its preferred specific embodiment is, comprises:

[0027] The model constructed by the following table 1 and formula (1) predicts antigenic similarity or antigenic variation between virus pairs:

[0028] Extraction of 12 features affecting influenza antigens: the number of mutations in five epitope amino acids, the five physicochemical properties of HA protein amino acids, factors affecting receptor binding, the number of glycosylation site changes, the HA protein The five physical and chemical properties of amino acids include hydrophobicity, volume change, chargeability, polarity, and buildable surface area;

[0029] The above 12 characteristics were counted on 3681 pairs of virus pairs with known antigenic similarities and 1720 pairs of virus pairs with antigenic mutations, and obtained:

[0030] Table 1:

[0031]

[0032] The data in Table 1 represent the number of large and small ch...

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Abstract

The invention discloses a method for predicting flu antigen through a model and an application thereof. The method comprises the following steps: extracting 12 features affecting the flu antigen, wherein the 12 features include mutation numbers of five antigenic determinant amino acid, five physical and chemical properties of HA protein amino acid, factor affecting receptor, and number of glycosylated site, the five physical and chemical properties of amino acid include hydrophobicity, volume change, electriferous property, polarity and integrable surface area; and making statistics on the 12features of 3681 virus pairs similar to known antigen and 1720 virus pairs variant from antigen, thereby establishing a prediction model on antigen relation. On the basis of sequence, the method can present the antigen relation among viruses, and thus having the advantages of simpleness, convenience and high sensitivity. The process of antigen evolution can be visually displayed through the network. The invention is used for revealing flu spreading rules, screening vaccine candidate strains and the like.

Description

technical field [0001] The invention relates to a technology for predicting influenza antigens, in particular to a method and application for predicting influenza antigens through a model. Background technique [0002] Influenza virus is a virus that is prevalent in the world. It infects 3 to 5 million people every year, of which 250,000 to 500,000 people die, causing great harm to human society. Influenza viruses are divided into three types: A, B, and C. Types A and B are more threatening to humans. Among them, influenza antigens of type A mutate frequently and pose the greatest threat to humans. Since entering the population in 1968, the H3N2 subtype influenza virus has dominated the population. The H3N2 subtype influenza virus genome contains 8 segments, encoding 11 proteins, among which HA and NA are the main surface antigen proteins. Compared with other genes, HA mutates the fastest, making the antigen constantly changing. Vaccination is currently one of the most ef...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 舒跃龙蒋太交杜向军蓝雨吴爱平董丽波张烨王大燕彭友松
Owner STATION OF VIRUS PREVENTION & CONTROL CHINA DISEASES PREVENTION & CONTROL CENT
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