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Method for identifying key proteins based on characteristics of structural domain

A recognition method, protein technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effect of avoiding manpower and material resources

Active Publication Date: 2012-12-26
CENT SOUTH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At the same time, although a variety of data information can calibrate the identification accuracy of key proteins to a certain extent, various evaluation factors of key proteins have their application limitations.

Method used

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  • Method for identifying key proteins based on characteristics of structural domain
  • Method for identifying key proteins based on characteristics of structural domain
  • Method for identifying key proteins based on characteristics of structural domain

Examples

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Embodiment 1

[0031] Based on the discovery of the domain characteristics of known key proteins, EPD will only identify key proteins based on the protein's structural domain information. In the process of recognition, domain signature refers to the appearance of a domain type in a specific number of proteins in all proteins of a species. Given all the proteins of a species S and their structural domains or sequence composition (the structural domains can be obtained through related models, such as hidden Markov models, etc.), the probabilities of proteins becoming key proteins are given or identified. key protein.

[0032] The whole process of EPD, a key protein identification method based on structural domain characteristics, is as follows: figure 1 As shown, it can be divided into the following steps:

[0033] (1) Establish all proteins of the species and the domain information of each protein. Input all proteins of the species S, and obtain each protein P through existing databases su...

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Abstract

The invention discloses a method for identifying key proteins based on characteristics of a structural domain. For all proteins of species, the method comprises the following steps of: obtaining structural domain information through using a database or carrying out analysis of protein sequences, counting the frequency of occurrence of each structural domain type in the proteins on the basis of the structural domain information, and calculating the weight of each protein according to the statistical result, wherein the bigger is the weight, the more possibility of the protein is to form the key protein. The method is simple and effective, is only based on the structural domain information of the protein and does not rely on the network information of protein interactions and the like, so that the huge amount of manpower and material resources consumed in biological experiments can be avoided. Compared with a random method, the method provided by the invention can be used for accurately identifying key proteins.

Description

technical field [0001] The invention belongs to the field of systems biology and relates to a method for identifying key proteins based on structural domain characteristics. Background technique [0002] Protein is an essential component of all cell and tissue structures, and the most important material basis for life activities. Not every protein in a cell is equally important, but different proteins have different importance to life activities. Usually those proteins that cause the loss of relevant biological functions after being deleted and cause the organism to fail to survive or cause disease are called key proteins. The identification of key proteins can provide valuable information for biology and medicine at the system level, especially in disease diagnosis and treatment, drug target design, and determination of the minimum genome (that is, including all key genes of a species) in synthetic biology. important application prospects. [0003] Currently, there are t...

Claims

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Application Information

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IPC IPC(8): G06F19/16
Inventor 王建新成颖佼彭玮李敏
Owner CENT SOUTH UNIV
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