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 effect and achieve high sensitivity

Active Publication Date: 2010-09-29
中国疾病预防控制中心病毒病预防控制所 +1
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  • Abstract
  • 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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The preferred specific embodiment of the method for predicting influenza antigens by model of the present invention includes:

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

[0028] Extract 12 features that affect influenza antigens: the number of mutations in five epitope amino acids, five physicochemical properties of HA protein amino acids, factors affecting receptor binding, and the number of changes in glycosylation sites. The five physicochemical properties of amino acids include hydrophobicity, volume change, chargeability, polarity, and integrable surface area;

[0029] The above-mentioned 12 characteristics of 3681 virus pairs with similar known antigens and 1720 virus pairs with antigenic variation were counted, and the following results were obtained:

[0030] Table 1:

[0031]

[0032] The data in Table 1 respectively represent the number of large and smal...

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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 12 features 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 present invention relates to an influenza antigen prediction technology, in particular to a method and application for predicting influenza antigen through a model. Background technique [0002] Influenza virus is a globally prevalent virus. It infects 3 to 5 million people every year, of which 250,000 to 500,000 die, causing great harm to human society. Influenza viruses are divided into three types: A, B, and C. Types A and B pose a greater threat to human beings. Among them, type A influenza antigens 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 fragments, encoding 11 proteins, of which HA and NA are the main surface antigen proteins. Relative to other genes, HA mutates the fastest, allowing the antigen to change continuously. Vaccination is one of the most effective ways to preve...

Claims

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Application Information

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Patent Type & Authority Applications(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 中国疾病预防控制中心病毒病预防控制所
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