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Key protein recognition method based on heterogeneous biological network fusion

A technology of biological network and identification method, applied in biostatistics, bioinformatics, for analyzing two-dimensional or three-dimensional molecular structure, etc., can solve the problem of poor prediction performance of key proteins, and achieve the effect of improving the accuracy of identification

Active Publication Date: 2019-05-24
CHANGSHA UNIVERSITY
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Problems solved by technology

[0014] The technical problem to be solved in the present invention is to provide a key protein identification method based on heterogeneous biological network fusion to solve the technical defect of poor key protein prediction performance existing in the prior art

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  • Key protein recognition method based on heterogeneous biological network fusion
  • Key protein recognition method based on heterogeneous biological network fusion
  • Key protein recognition method based on heterogeneous biological network fusion

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Embodiment Construction

[0069] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0070] A key protein identification method based on heterogeneous biological network fusion, the process of the method is as follows figure 1 As shown, the weighted protein-protein interaction network, domain-domain interaction network and protein-domain relationship network are mainly established by combining protein interaction network and protein domain information; Based on the source information and subcellular localization information, the initialization score vectors of proteins and domains are established, and the key proteins are identified based on the random walk model.

[0071] In this embodiment, taking yeast protein as an example, the method is run on the yeast protein interaction network to verify the effectiveness of the present invention. The specific method includes the following detailed steps.

[0072] S1: Acquir...

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Abstract

The invention discloses a key protein recognition method based on heterogeneous biological network fusion. The key protein recognition method includes the steps: obtaining a yeast protein interactionnetwork topology, protein domain information, protein homology information, and protein subcellular localization information; respectively establishing a protein-protein interaction network P_G, a structural domain-structural domain interaction network D_G and a protein-structural domain network PD_G; fusing the three networks PD_G three networks, and establishing a heterogeneous network HG; establishing an initialized score vector h0 of the protein and structural domain; iteratively calculating the score vector h(i)t( / i) of the protein and structural domain based on a random walk model untila steady state is achieved; and sorting according to the score of the protein in the steady state, and identifying the key protein. The key protein recognition method based on heterogeneous biologicalnetwork fusion improves the fusion mode of multi-source biological data in the research of key protein recognition methods, and greatly improves the recognition accuracy of key proteins.

Description

technical field [0001] The invention relates to the field of systems biology, in particular to a method for identifying key proteins based on fusion of heterogeneous biological networks. Background technique [0002] After being deleted, the protein that causes the loss of function of the protein complex and causes the organism to fail to survive or develop is called a key protein. Identifying key proteins helps to understand the minimum requirements for cell survival and development, and plays a vital role in synthetic biology. role. The study of key proteins provides valuable information for medicine and other related disciplines, especially in disease diagnosis and treatment, and drug design has important application prospects. In biology, key proteins are mainly identified through biomedical experiments. These methods are costly, inefficient, and applicable to limited species. Therefore, proposing efficient computational methods for identifying key proteins has become o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B15/20G16B40/20
Inventor 赵碧海胡赛王雷李学勇张志宏
Owner CHANGSHA UNIVERSITY
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