A population protein structure prediction method based on the cooperation of global and local strategies

Abstract

A population protein structure prediction method based on global and local strategy cooperation is disclosed. The method is characterized by under the framework of a differential evolution algorithm,for each conformation, firstly executing a global mutation strategy to carry out the global detection of a conformation space so as to obtain a potential area; and then, executing a local mutation strategy to carry out local search on the detected area so as to obtain a better conformation. In a global detection process, segment exchange is performed through the randomly-selected conformation andsimultaneously the multiple conformations are generated and tested, and the test conformation with lowest energy is selected. In a local search process, the conformation which is better than the target conformation is selected to guide mutation so as to generate multiple test conformations, and the conformation with lower energy is selected. Through the writing of the global strategy and the localstrategy, a relationship between a balance diversity and a convergence speed is achieved. By using the population protein structure prediction method based on the global and local strategy cooperation, prediction precision and search efficiency are high.

Description

technical field [0001] The invention relates to the fields of biological informatics, intelligent optimization and computer application, and in particular to a group protein structure prediction method based on the cooperation of global and local strategies. Background technique [0002] In 1965, Nirenberg and Khorana discovered the triplet genetic code (that is, the first genetic code). DNA is translated into a protein amino acid sequence (that is, the primary structure of the protein) with a codon of three nucleotides; Only by forming a specific three-dimensional structure (that is, the tertiary structure of the protein) can its specific biological function be produced. Relative to the first genetic code, the correspondence between the primary structure of a protein sequence and its tertiary structure (ie, the second genetic code or folding code) remains an unsolved mystery. In order to solve the "problem of the century" of protein folding, more and more researchers with ...

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Problems solved by technology

[0006] In order to overcome the shortcomings of low prediction accuracy and search efficiency of existing protein structure prediction methods, the present invention proposes a group protein structure prediction method based on global and local strategy collaboration with high prediction accuracy and search efficiency

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