Peptide-spectrum matching reliability testing method, system, storage medium and device

Abstract

The present invention proposes a method, system, storage medium and device for testing the reliability of peptide-spectrum matching, including: inputting the spectrum data in the result to be detected into an open search engine to obtain the identification result of the result to be detected; According to the scoring of the test results by the open search engine, the first score is obtained, and the top n candidate peptides of the first score are extracted at the same time; Score the top n candidate peptides; predict the theoretical spectrum of each candidate peptide, calculate the cosine similarity between each theoretical spectrum and the spectral data in the test results, and count the highest value in the cosine similarity; extract A four-dimensional feature composed of the first score, the second score, cosine similarity and the highest cosine similarity value of the result to be detected; the four-dimensional feature is input to the offline model trained by SVM to obtain the credibility test of the result to be detected result.

Description

technical field [0001] The invention relates to the field of computational proteomics, and in particular to a method, system, storage medium and device for checking the reliability of peptide-spectrum matching. Background technique [0002] Computational proteomics is a discipline that uses computing technology and information retrieval technology to analyze proteomic mass spectrometry data. It is of great significance to the identification of proteins and the study of biological and physiological processes. With the development of mass spectrometers, the acquisition speed and number of tandem mass spectra have increased dramatically, and a mass spectrometry experiment can collect millions of mass spectra. Although a large number of search engines have been developed in the field to analyze mass spectrometry data in depth and efficiently, serious quality control problems brought about by this large-scale data cannot be avoided. [0003] At present, the methods for testing t...

AI Technical Summary

Problems solved by technology

[0009] The technical purpose of the present invention is to solve the problem of insufficient quality control of protein search engine identification results in the field of computational proteomics, and to study the relationship between these indicators and search engine evaluation indicators by designing two evaluation indicators of the credibility testing method , established the practical application standard of the reliability test method

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