Homologous protein detection method based on biological protein information network comparison

A protein detection and information network technology, applied in the fields of bioinformatics, informatics, biological systems, etc., can solve the problems of unsatisfactory prediction results of homologous proteins and poor biological function quality.

Active Publication Date: 2021-03-30
WUHAN UNIV
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Problems solved by technology

However, the existing global alignment algorithms have a common disadvantage, that is, the matching results often have good topological quality, but poor biological function quality, resulting in unsatisfactory prediction results for homologous proteins.

Method used

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  • Homologous protein detection method based on biological protein information network comparison
  • Homologous protein detection method based on biological protein information network comparison
  • Homologous protein detection method based on biological protein information network comparison

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Embodiment Construction

[0029] The present invention is mainly based on a newly proposed biological protein information network comparison algorithm, finds the node matching relationship between protein interaction networks of different species, searches the Inparanoid database according to the matching results, and finds homologous protein pairs between species. Through the present invention, we provide a new method for detecting homologous protein pairs between different species, which is more effective than traditional methods, and compared with the existing PPI network comparison algorithm, this algorithm can better balance Topological quality and biofunctional quality of the matching results.

[0030] The method provided by the invention can use computer software technology to realize the process. see figure 1 , the embodiment takes the protein interaction network (PPI network) of yeast (yeast, biological code SCerevisiae) and the protein interaction network (PPI network) of human (human, biolo...

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Abstract

The invention discloses a homologous protein detection method based on biological protein information network comparison, and aims to solve the problem of false positive of homologous protein discovered by adopting a traditional sequence-based method, and the problem that the topology quality and the biological function quality of the matching result cannot be well balanced by the existing biological protein information network comparison algorithm. According to the method, the biological similarity, the network structure similarity and interaction information can be well fused, and more homologous protein pairs among different species can be found, so that the method has guiding significance for biologically researching the homologous relationship among the proteins and predicting the proteins with unknown functions.

Description

technical field [0001] The invention belongs to the field of graph algorithms, in particular to a homologous protein detection method in a cross-species biological protein information network. Background technique [0002] The application of graph theory to modeling biological systems is a broad field of research, including genomics and proteomics. Among them, an important direction is to use the protein-protein interaction network (PPI) to model the set of interactions between proteins in cells, and to reveal the similarities between potential biological processes by comparing the PPI networks of different species , mining orthologous proteins between species. Orthologs are proteins from different species that have evolved through vertical families (speciation) and often have similar functions. Effective mining and discovery of orthologous proteins between different species can help humans deeply understand the homology relationship between proteins and predict unknown pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B30/10G16B5/00
CPCG16B30/10G16B5/00
Inventor 祝园园陈瑶然
Owner WUHAN UNIV
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