Drug relocation model based on pathogenic contribution network analysis

A network analysis and relocation technology, applied in the fields of computer technology and biomedicine, to alleviate the difficulty of research and development and reduce the scope

Active Publication Date: 2020-02-28
TIANJIN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are many shortcomings in the research and development of new drugs. It generally takes 13-15 years for a new drug to be introduced to the market, and the average research and development funds need 2 billion to 3 billion US dollars.

Method used

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  • Drug relocation model based on pathogenic contribution network analysis
  • Drug relocation model based on pathogenic contribution network analysis
  • Drug relocation model based on pathogenic contribution network analysis

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Experimental program
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Embodiment 1

[0039] The present invention is a drug relocation model based on network analysis of pathogenic contribution.

[0040] Implementation technology: In the process of model construction and system development, the java programming language is used as the background language, the database uses the Mysql relational database and the Neo4j graph database, and the query uses SQL+CQL (Cypher). The display part was processed and rendered using the neo4j Bloom tool. The calculation part uses the neo4j APOC stored procedure and graph algorithm package.

[0041] The model can conduct drug repositioning research on any disease, select Parkinson's disease (PD) as the target disease, and select the SemmedDB database as the data source for case presentation.

[0042] Data preparation module:

[0043] Selecting SemmedDB as the data source, extracting all PD-related genes and proteins from SemmedDB and the relationship between them are unified into the triple data format of subject-predicate-o...

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Abstract

The invention discloses a drug relocation model based on pathogenic contribution network analysis. The drug relocation model comprises a data preparation module, a pathogenic contribution network construction and calculation module and a drug embedding and sequencing module; the task of the data preparation module is to fully prepare data required by a pathogenic contribution network constructionand calculation part, including data cleaning and entity disambiguation; the pathogenic contribution network construction and calculation module is used for completing pathogenic network constructionand node contribution calculation, and establishing a complete pathogenic contribution network, including pathogenic network construction and node contribution calculation; the task of the medicine embedding and sequencing module is to list all medicines serving as effective medicines of a target disease and the possibility that each medicine becomes an effective medicine of the target disease, including medicine embedding and result sequencing. According to the method, biomedical data and a problem solving angle are combined with a solution of the computer technology, the defects existing innew drug development are better overcome, and a new drug-disease relationship is predicted.

Description

technical field [0001] The present invention relates to the field of computer technology and biomedicine, and more particularly, to a drug relocation model based on network analysis of pathogenic contribution. Background technique [0002] The research and development of new drugs has always been the main way to obtain effective drugs for diseases. However, the research and development of new drugs has many shortcomings. It generally takes 13 to 15 years for a new drug to be brought to the market, and the average research and development funds need to be 2 billion to 3 billion US dollars. Moreover, the input-output ratio of new drug research and development is getting higher and higher. With the accumulation of biomedical data and the development of computer technology, strategies for drug repositioning research to assist or replace the development of new drugs have gradually developed. To a certain extent, this is the result of technological advances, mainly thanks to big...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16C20/50G16C20/70
CPCG16C20/50G16C20/70Y02A90/10
Inventor 饶国政高金贺
Owner TIANJIN UNIV
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