Identification method of protein by MS/MS based on multi-omics abundance information

Abstract

The invention discloses a protein secondary mass spectrometry identification method based on multi-omics abundance information. The protein secondary mass spectrometry identification method based on multi-omics abundance information includes the following steps: 1) using the transcriptomic or translational multi-omics abundance information data and the preliminary identification results of the experimental map data to construct a preliminary identification protein and multiple Correspondence relationship of omics abundance information; 2) Evaluate the protein identification ability of multi-omics abundance information through preliminary relationship; 3) Integrate the protein identification ability of multi-omics abundance information into the peptide scoring of experimental map and theoretical map Among them, the peptide with the highest score was selected as the final identification result of this experimental map. The mass spectrometry identification method based on multi-omics abundance information has higher identification effective mass spectrum and number of protein peptides than the current algorithm, and can run multi-core parallel and fast, greatly improving the identification efficiency.

Description

technical field [0001] The invention relates to the field of protein secondary mass spectrometry identification, in particular to a protein secondary mass spectrometry identification method based on multi-omics abundance information. Background technique [0002] Protein identification is a basic problem in proteomics research, and it is also an important basis for in-depth protein expression analysis, function and interaction research. Tandem Mass Spectrometry (MS / MS) has made it possible to identify proteins on a large scale due to its high sensitivity and high throughput, and has gradually become the mainstream method for protein identification. The tandem mass spectrometry method identifies proteins by determining the amino acid sequence of peptides, so protein identification is essentially the identification of peptides. The database search method is currently the most widely used peptide identification method, which matches and scores the experimental spectrum and the...

AI Technical Summary

Problems solved by technology

At present, the proportion of high-throughput experimental maps that can be identified is not high (about 25%), which is a common problem in protein identification research.

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