A Method for Identifying Key Proteins Based on Artificial Fish Swarm Optimization Algorithm

Abstract

The invention discloses a method for identifying key proteins based on an artificial fish swarm optimization algorithm, transforming a protein interaction network into an undirected graph, constructing a purified protein interaction network, obtaining ribonucleic acid gene expression values ​​corresponding to proteins, and GO annotation information As well as the degree of protein in the known complex, the purified protein interaction network edges and nodes are processed, the known key proteins are selected as the initial artificial fish, the artificial fish performs foraging behavior, random behavior, tail chasing behavior, aggregation Group behavior and production of key proteins. The method of the present invention can accurately identify key proteins; the simulation experiment results show that the performance of indicators such as sensitivity, specificity, positive predictive value, and negative predictive value is better; compared with other key protein identification methods, the optimized characteristics of artificial fish swarm Combined with the topological features of the protein interaction network to realize the identification process of key proteins and improve the identification accuracy of key proteins.

Description

technical field [0001] The invention belongs to the field of biological information, and in particular relates to a method for identifying key proteins based on an artificial fish swarm optimization algorithm. Background technique [0002] Key proteins are the products of key genes and are an essential part of organisms to maintain life activities. The absence of key proteins will lead to the failure of life activities and even the death of organisms. The prediction and identification of key proteins is a research work of great significance. On the one hand, it helps to study the growth regulation process related to cells; on the other hand, it also has far-reaching significance for disease diagnosis and drug design. Initially, the identification of key proteins was mainly through biological experimental methods, such as single gene knockout and RNA interference. Although the identification of key proteins through these experimental techniques is accurate and effective, it ...

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Problems solved by technology

[0008] Based on the defects of the above key protein identification methods, the main reason is whether the reliability of the protein interaction network is considered, only some features are considered, and the overall and overall grasp is lacking, and the accuracy of key protein identification is low.

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