Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for predicting change of influenza virus antigen

An influenza virus and prediction method technology, applied in the field of bioinformatics, can solve problems such as weak model robustness, and achieve the effect of improving accuracy and robustness

Active Publication Date: 2019-03-08
YUNNAN UNIV
View PDF7 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no evidence that the existing indicators have found the best strategy; secondly, this method may ignore some potential features of amino acids and the nonlinear relationship between features; third, influenza viruses are very active, and mutations are relatively common Yes, if the mutation site of the next generation strain exceeds the key site of the prediction model, the robustness of the established model will be relatively weak

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
  • Method for predicting change of influenza virus antigen
  • Method for predicting change of influenza virus antigen
  • Method for predicting change of influenza virus antigen

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] 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.

[0022] figure 1 The method flowchart provided for the embodiment of the present invention, such as figure 1 As shown, the method may include the following steps:

[0023] Step 101: preprocessing of influenza virus dataset;

[0024] collection of influenza virus sequences P ={ P 1 , P 2 , P 3 ,…, P l} Any two different influenza viruses ( P i , P j ) for contrastive modeling to obtain a contrastive code , m is the number of amino acids in the influenza virus sequence; finally, it can be obtained Bar comparison sequence:

[0025]

[0026] For the convenience of expression, in this embodiment, the above ...

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 belongs to the field of bioinformatics, and discloses a method for predicting changes of influenza virus antigens. The method comprises the following steps of: firstly, coding an influenza virus sequence pair aiming at the analysis characteristics of the influenza virus and the influenza virus antigen change; secondly, automatically extracting main characteristics of antigenic changeon the influenza virus pair by using a depth neural network, the influenza virus pair is then predicted for antigen change based on the extracted characteristics.

Description

technical field [0001] The invention belongs to the field of bioinformatics, and relates to a method for predicting changes in influenza virus antigens, and more specifically, to a method for predicting influenza antigenicity based on deep learning. Background technique [0002] Seasonal influenza is a major threat to public health worldwide. Influenza virus can be divided into different subtypes such as H1N1 and H3N2 according to the difference of surface proteins hemagglutinin (HA) and neuraminidase (neuraminidase, NA). Influenza viruses mainly produce antigenic variants through hypermutation of HA to evade human immunity. The HA protein is a trimer composed of identical subunits, each consisting of two chains, HA1 and HA2, of 329 and 175 residues, respectively. HA1 mutates more frequently than HA2 and undergoes strong immune selection, resulting in mutated immunologically distinct strains. So far, the flu vaccine is considered to be the most effective means of stoppi...

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 Applications(China)
IPC IPC(8): G16B5/00G16H50/80
CPCG16H50/80
Inventor 李维华夏元铃王兵益张苗
Owner YUNNAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com