Method for determining interaction between proteins based on random projection integrated classification

A technology of random projection and measurement method, applied in the field of biology, can solve the problems of not meeting the technical development requirements, high false positive rate, low efficiency, etc., and achieve the effects of excellent measurement stability, precise expression, and excellent accuracy

Inactive Publication Date: 2018-01-19
LANZHOU JIAOTONG UNIV +1
View PDF2 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the existing technology has disclosed the method of biotechnology to obtain PPIs data from organisms, the existing technology has the disadvantages of low efficiency, high cost and high false pos

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 determining interaction between proteins based on random projection integrated classification
  • Method for determining interaction between proteins based on random projection integrated classification
  • Method for determining interaction between proteins based on random projection integrated classification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] A method for determining the interaction between proteins based on random projection integrated classification, characterized in that it comprises the following steps:

[0029] A. Protein data screening

[0030] Screen protein interaction pairs from the protein database DIP;

[0031] B. Substitution Matrix Representation

[0032] Using BLOSUM62 matrix, a protein sequence of length N will generate an N×20 matrix, and the SMR matrix represents the expression: SMR(i,j)=B(P(i),j) i=1...N,j =1...20,

[0033] B(P(i), j) represents the probability that amino acid i is mutated into amino acid j, and P(i), j represents the protein sequence position composed of N amino acids;

[0034] C. Discrete cosine transform

[0035] The discrete cosine transform DCT formula is as follows:

[0036]

[0037] in,

[0038] D. Establish a random projection ensemble model

[0039] Select the original matrix X of n×d dimensions n×d , the original matrix is ​​mapped to obtain a low-dim...

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 relates to the field of biology and particularly relates to a method for determining the interaction between proteins based on random projection integrated classification. The method comprises A, protein data screening, B, substitution matrix characterization, C, discrete cosine transformation, D, establishment of random projection integrated model and E, model determination. The method can acquire a prediction model of interaction between proteins according to classification characteristics of interaction between proteins and the prediction model is used for detecting interaction between proteins related to diseases so that the problem that the prior art cannot predict interaction between proteins and disease correlation and prediction of interaction between proteins and disease correlation is realized. The method is suitable for screening animal and strain protein pairs, builds a random projection integrated model for later analysis through substitution matrix characterization and discrete cosine transformation and provides accurate effect display and expression. Compared with the traditional method, the method provided by the invention has the better accuracy rate,sensitivity, a positive predictive value and stability and accuracy of Matthews correlation coefficient measurement.

Description

technical field [0001] The invention relates to the field of biology, in particular to a method for measuring the interaction between proteins based on random projection integrated classification. Background technique [0002] Protein-protein interactions (PPIs) are the result of interactions in a certain time and space, are the basis for realizing protein functions, and are the key to studying cell life activities. Although the existing technology has disclosed the method of biotechnology to obtain PPIs data from organisms, the existing technology has the disadvantages of low efficiency, high cost and high false positive rate, which obviously does not meet the requirements of technological development. It is urgent to develop a method with high efficiency and low cost. Low methods and techniques for measuring PPIs. Contents of the invention [0003] The invention solves the deficiencies of the prior art and provides a protein-protein interaction assay method based on ran...

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
IPC IPC(8): G01N33/68G06F19/12G06F19/18
Inventor 宋晓宇邱泽阳孙向阳赵阳
Owner LANZHOU JIAOTONG 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap