Polypeptide detection method based on deep learning

Abstract

The invention discloses a polypeptide detection method based on deep learning. The method comprises the following steps: acquiring mass spectrometry data of a training sample; acquiring a training set according to the mass spectrum combined data; and training a deep learning-based target detection model by using the training set, and detecting the polypeptide in the to-be-detected sample by using the trained target detection model. According to the polypeptide detection method based on deep learning, the deep learning method has high feature extraction capacity, 2D distribution features of polypeptides can be effectively captured, and high-robustness detection and high-sensitivity detection of different polypeptides are achieved; meanwhile, the classification error function used in the constraint function is designed based on the cross entropy loss function, and high-precision prediction of the polypeptide target probability can be achieved. The method is based on an artificial intelligence technology, and detection of dense polypeptide targets in a complex sample can be realized.

Description

technical field [0001] This application relates to a method for detecting peptides based on deep learning, which belongs to the technical field of organic chemistry. Background technique [0002] Polypeptides are a class of compounds formed by connecting multiple amino acids through peptide bonds, usually consisting of 10-100 amino acid molecules, connected in the same way as proteins, and with a relative molecular mass of less than 10,000. Peptides are ubiquitous in living organisms. So far, tens of thousands of polypeptides have been found in living organisms. They widely participate in and regulate the functional activities of various systems, organs, tissues and cells in the body, and play an important role in life activities. [0003] Peptide detection is a key step in mass spectrometry (MS)-based proteomics research. High-precision peptide detection is critical for subsequent biomarker discovery, drug development, and disease classification. With the continuous impro...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a polypeptide detection method based on deep learning to solve the technical problem of low detection sensitivity existing in existing polypeptide detection methods

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