Method and system for predicting protein interaction target point of drug

A protein and drug technology, applied in the fields of biotechnology and information, can solve problems such as limited small-scale research, dependence on protein complex structure information, etc., to achieve feasibility and superiority, good classification performance, and broaden the search space. Effect

Inactive Publication Date: 2015-12-16
ACAD OF MATHEMATICS & SYSTEMS SCIENCE - CHINESE ACAD OF SCI +1
View PDF2 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, existing methods strongly rely on structural information of protein complexes, which are limited to small-scale studies
From a practical point of view, the existing technology also fails to form a computational system for the detection, modeling and validation of drug-protein interaction targets

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 and system for predicting protein interaction target point of drug
  • Method and system for predicting protein interaction target point of drug
  • Method and system for predicting protein interaction target point of drug

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and understandable, the present invention will be further described through specific embodiments and drawings below.

[0031] figure 1 Shown is a schematic diagram of the drug-protein interaction target identification system based on the integration of drug and protein data of the present invention. The system includes four modules: data set building module, data acquisition module, mathematical modeling module and model testing module.

[0032] 1) Building module of drug-protein interaction target data set

[0033] By collecting the human protein interaction network and the single protein target data of the drug, the drug interaction protein target data set is constructed. The data set includes two different types of networks:

[0034] a) Human protein interaction network: describe the interaction between human proteins.

[0035] b) Drug and single protein interaction ne...

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 a method and a system for predicting a protein interaction target point of a drug. The method comprises: 1) collecting a human protein interaction network and single protein target point data of the drug, and constructing an interactive protein target point data set of the drug; 2) obtaining description data of the drug and proteins; 3) constructing a bigraph for representing an interactive relationship between the drug and a protein pair, constructing a similar matrix for representing drug similarity and protein pair similarity, establishing a kernel function for correlating the similar matrix of the drug and the protein pair, and establishing a prediction model through a machine learning algorithm; and 4) performing independent set testing by utilizing unknown drug and interactive protein pair, and predicting a possibly existent unknown drug protein interaction target point, and verifying a prediction result through database and document retrieval. According to the method and the system, the search space of the drug target point can be expanded and the more specific drug protein interaction target point with the best classification performance can be obtained.

Description

Technical field [0001] The invention belongs to the technical field of biotechnology and information technology, and specifically relates to a method and system for predicting protein interaction targets of drugs. Background technique [0002] Systems biology emphasizes the important role of the synergy of biomolecules in determining the phenotype at the system level. Driven by this concept, a huge amount of interaction data is generated. A typical example is protein interaction data generated by yeast two-hybrid experiments and mass spectrometry experiments. Interacting protein complexes are considered to be the main implementers of biological processes in living cells, and their functions are greater than the simple addition of individual proteins. They are the main unit of action after drugs enter living cells. Compared with acting on a single protein, a drug acting on an interacting protein complex will produce fewer side effects and can greatly broaden the search space for ...

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): G06F19/12G06F19/14G06F19/18G16B10/00
Inventor 王永翠王勇
Owner ACAD OF MATHEMATICS & SYSTEMS SCIENCE - CHINESE ACAD OF SCI
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