Protein sequence database parallel search and identification method and device

Abstract

The invention relates to a protein sequence database parallel search and identification method and device, computer equipment and a storage medium, and the method comprises the steps: preprocessing a to-be-identified experiment mass spectrum data set and protein sequence database, carrying out simulated enzyme digestion of each protein sequence in the protein sequence database, and obtaining a theoretical mass spectrum data set; separately extracting a mass spectrum peak of each experimental mass spectrogram corresponding to the experimental mass spectrum data set, generating a search query set, and searching for the theoretical mass spectrum data set in a protein sequence library according to the search query set to obtain a candidate peptide fragment sequence set; according to each experimental mass spectrogram and the corresponding candidate peptide fragment sequence set, generating candidate peptide fragments and scoring the same; integrating scoring results, performing inference from peptide fragments to protein to obtain protein identification results. The protein sequence database search and identification efficiency is greatly improved by adopting a parallel processing mode.

Description

technical field [0001] The present application relates to the technical field of biological information, in particular to a protein sequence database parallel search and identification method, device, computer equipment and storage medium. Background technique [0002] With the basic completion of the Human Genome Project, life science research has entered the post-genome era, in which proteomics research has gradually become the core content of life science research. In proteomics, protein sequence identification technology based on tandem mass spectrometry has become one of the mainstream large-scale protein identification methods. There are three main computational methods for protein identification based on tandem mass spectrometry: database search methods, de novo sequencing methods, and peptide sequence tagging methods. Among them, the database search method is the most commonly used. The basic idea is to match the tandem mass spectrogram obtained in the experiment wi...

AI Technical Summary

Problems solved by technology

In recent years, with the rapid development and popularization of mass spectrometry science and technology, the amount of bioinformatics data, especially mass spectrometry data, has shown explosive growth. At the same time, the scale of protein databases has also shown an exponential growth trend. The volume of data poses a more serious challenge to database search methods

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