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Identification of key proteins based on subcellular localization specificity

A technology of subcellular localization and identification method, applied in the field of key protein identification based on subcellular localization specificity, which can solve problems such as deviation of prediction results

Active Publication Date: 2017-02-01
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, due to the incompleteness of the structural domain information, the prediction results will be biased

Method used

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  • Identification of key proteins based on subcellular localization specificity
  • Identification of key proteins based on subcellular localization specificity
  • Identification of key proteins based on subcellular localization specificity

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Embodiment 1

[0039] (1) Construction of protein subcellular localization interaction subnetwork and analysis of distribution characteristics of key proteins

[0040] Protein subcellular localization data for different species can be obtained from the COMPARTMENTS database. The COMPARTMENTS database integrates experimentally-based protein subcellular annotation information from UniProtKB, MGI, SGD, FlyBase, WormBase and other databases, covering protein subcellular localization information of eukaryotes such as humans, yeast, Drosophila, and mice. Public databases such as DIP and Biogrid contain protein interaction data for many species. Yeast is currently the most widely studied species, and its protein interaction network and key protein data are the most complete and reliable among many species. Therefore, data analysis and experimental verification are first based on yeast data. The protein interaction network of yeast comes from the data of DIP database in October 2010. Excluding sel...

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Abstract

The invention discloses a key protein identification method based on subcellular localization specificity. The method includes the first step of establishing subcellular localization protein interaction subnets; the second step of measuring confidence levels of protein key scores of all the subcellular localization interaction subnets of all proteins; the third step of calculating key comprehensive scores of all the proteins; the fourth step of outputting the result, wherein all the proteins in a cell are ranked according to the key comprehensive scores, and the ranking result is output. The key protein identification method based on the subcellular localization specificity is high in accuracy and sensitivity in the identification aspect of key proteins.

Description

technical field [0001] The invention belongs to the field of systems biology and relates to a key protein identification method based on subcellular localization specificity. Background technique [0002] As we all know, different proteins have different effects on the life activities of biological organisms, and their importance is also different. Generally speaking, the proteins necessary to maintain the life activities of organisms in the protein interaction network are considered as key proteins. The absence of key proteins leads to cell death or the inability to reproduce. The identification of key proteins can promote the development of drug targeting technology [Note: Drug targets refer to biomacromolecules that have pharmacological functions in the body and can be affected by drugs, such as certain proteins and nucleic acids and other biomacromolecules. Those genes encoding target proteins are also called target genes. Determining in advance the target molecules r...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/18
Inventor 王建新彭小清李敏罗军伟钟坚成
Owner CENT SOUTH UNIV
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