Polypeptiomics identification method based on Bayesian evaluation and sequence library searching and application thereof

Abstract

The invention discloses a polypeptiomics identification method based on Bayesian evaluation and sequence library searching. The method comprises the following steps: carrying out ion standardization on each ion in mass spectrometric detection data of a sample, and filtering; and establishing a to-be-retrieved polypeptide sequence library one by one for to-be-retrieved sequences in the protein sequence library to which the sample belongs, identifying the sequences in the to-be-retrieved polypeptide sequence library one by one to obtain candidate identification polypeptides, and scoring the candidate identification polypeptides to obtain an identification result. The polypeptiomics identification method is simple and high in identification efficiency, greatly reduces the requirements of the analysis process on computer hardware, is beneficial for realizing multi-core parallel processing of a computer, can simultaneously provide a plurality of candidate identification polypeptides for analysts to select, and is suitable for popularization and application. The method is suitable for analyzing polypeptidomics results of food protein enzymolysis products, biomedical samples (such as blood, body fluid and the like) and the like.

Description

technical field [0001] The invention relates to the field of protein secondary mass spectrometry identification, in particular to a peptidomics identification method based on Bayesian evaluation and sequence search and its application. Background technique [0002] Bioactive peptides are favored by researchers, manufacturers and consumers because of their outstanding safety, nutritional and functional properties. At present, a large number of functional peptide products have emerged on the market, such as uric acid-lowering peptides, memory-improving peptides, elastin peptides, soybean peptides, etc., which are loved and sought after by consumers. However, most of these polypeptide products are the enzymatic hydrolysis products of food-derived proteins, which are complex mixtures composed of thousands of polypeptides, rather than a single polypeptide. [0003] Because most food-derived proteases have a wide range of action sites, the proportion of short peptides in the enzy...

AI Technical Summary

Problems solved by technology

Among them, Mascot cannot identify short peptides with a length of less than 6; Maxquant takes a very long time to identify peptides of non-specific enzymatic hydrolysis products, which can last for several months; due to its own limitations, Sequest cannot identify short peptides with a length of less than 4. And there are few short peptide identification results available for screening analysis

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