Distance spectrum establishing method for protein structure predicting

Abstract

The invention discloses a distance spectrum establishing method for protein structure predicting. The protein has a specific space structure. The similar proteins have similar space structures, the distance between residues of the positions of the proteins is also similar, and the searching of the protein structure can be guided and forecast through a distance spectrum. According to the distance spectrum, segments with the high score on residues at the positions in an inquiry sequence are established according to the sequence spectrums of residues in the inquiry sequence and residues in a template, the secondary structure type, the solvent accessibility, the central atom dihedral angle and the like, the segments from the same template at all the positions are traversed, the distance between the residues in the template is calculated, and the distance is similar to the distance between the residues in the space conformation of the inquiry sequence. The method is high in prediction precision and low in complexity.

Description

technical field [0001] The invention relates to the fields of bioinformatics and computer applications, in particular to a distance spectrum construction method for protein structure prediction. Background technique [0002] Bioinformatics is a research hotspot in the intersection of life science and computer science. Bioinformatics research results have been widely used in gene discovery and prediction, gene data storage and management, data retrieval and mining, gene expression data analysis, protein structure prediction, gene and protein homology relationship prediction, sequence analysis and comparison, etc. . The genome specifies all the proteins that make up the organism, and the genes specify the sequence of amino acids that make up the proteins. Although proteins are composed of linear sequences of amino acids, they can only have corresponding activities and corresponding biological functions if they are folded to form a specific spatial structure. Knowing the spa...

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Problems solved by technology

[0004] In order to overcome the disadvantages of low sampling efficiency, high complexity, and low prediction accuracy in existing conformational space optimization methods, the present invention proposes a method for constructing distance spectra in protein structure prediction. Proteins have specific spatial structures, similar to The protein has a similar spatial structure, and the distance between the residues at each position is also similar, so the search for the predicted protein structure can be guided by the distance spectrum

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