Recognition method of highly pathogenic avian influenza virus hemagglutinin protein

A technology for hemagglutinin protein and avian influenza virus, which is applied in the field of influenza virus hemagglutinin protein identification, can solve the problems of laborious, time-consuming and expensive detection of highly pathogenic avian influenza virus, and achieves reduced losses and good generalization. The effect of strong performance and characterization ability

Inactive Publication Date: 2010-06-09
CHONGQING UNIV
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above experimental methods to detect highly pathogenic avian influenza viruses are time-consuming, laborious and expensive

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Recognition method of highly pathogenic avian influenza virus hemagglutinin protein
  • Recognition method of highly pathogenic avian influenza virus hemagglutinin protein
  • Recognition method of highly pathogenic avian influenza virus hemagglutinin protein

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] With reference to the accompanying drawings, the method of the present invention will be described in detail as an example for the identification of the highly pathogenic avian influenza virus hemagglutinin protein, including the following steps:

[0024] a) specifically includes a1) 1262 property parameters of 23 kinds of amino acids selected; a2) principal component analysis of 1262 property parameters to obtain 22 principal components; a3) calculation of the scores of each principal component, and the score vector is defined as amino acid holographic topology structure score;

[0025] Collect 1262 property parameters of 20 kinds of natural amino acids and 3 kinds of unnatural amino acids, including composition descriptors, number of functional groups, atomic center fragments and molecular characteristics, molecular electrical interaction vectors, molecular electric distance vectors and holographic molecular electric distance vectors, topology , topological charge ind...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a highly-pathogenic avian influenza virus hemagglutinin protein identification method, which can be used for highly-pathogenic avian influenza virus hemagglutinin protein identification and provide a reference for understanding the structural characteristics of the highly-pathogenic avian influenza virus hemagglutinin protein; through the identification of the hemagglutininprotein, the method can indirectly distinguish the degree of the pathogenicity of the avian influenza virus strain to which the hemagglutinin protein belongs. The method comprises the following steps: a), to establish an amino acid holographic topological structure score vector, based on principal component analysis; b), to apply the amino acid holographic topological structure score vector to characterize the structure of the influenza virus hemagglutinin protein; c), to carry out normalized processing to the characteristic variable of each influenza virus hemagglutinin protein through a self-cross-covariance method; d), to establish an avian influenza virus hemagglutinin protein identification model through an RBF kernel-based support vector machine; e), to establish a highly-pathogenicavian influenza virus hemagglutinin protein identification model through the RBF kernel-based support vector machine.

Description

technical field [0001] The invention relates to a method for identifying influenza virus hemagglutinin protein, in particular to a method for identifying highly pathogenic avian influenza virus hemagglutinin protein. Background technique [0002] Influenza belongs to the Orthomyxoviridae family, which can be divided into three types: A, B and C. Avian influenza is a disease syndrome in poultry caused by influenza A virus. According to different pathogenicity, avian influenza virus (AIV) can be divided into non-pathogenic, low pathogenicity and high pathogenicity strains. Most of the non-pathogenic and low-pathogenic strains are subclinical infection or mild symptoms, and do not cause serious disease or death. Highly pathogenic avian influenza virus (HPAIV) spreads quickly and is highly lethal. It has a high lethality rate to poultry and is easily mutated and can infect humans. From January 2003 to June 19, 2008, the cumulative number of laboratory-confirmed human cases of...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 梁桂兆梅虎杨力李志良
Owner CHONGQING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products