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Mass spectrometry-based protein de novo peptide sequencing method and system

A mass spectrometry, protein technology, applied in the field of protein de novo peptide sequencing method and system

Pending Publication Date: 2022-01-11
上海中科新生命生物科技有限公司
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Problems solved by technology

[0006] The purpose of the present invention is to provide a protein de novo peptide sequencing method and system based on mass spectrometry to solve the problem of how to improve the accuracy of no-reference sequencing in protein de novo peptide sequencing

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  • Mass spectrometry-based protein de novo peptide sequencing method and system
  • Mass spectrometry-based protein de novo peptide sequencing method and system
  • Mass spectrometry-based protein de novo peptide sequencing method and system

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Embodiment Construction

[0060] The de novo protein sequencing method and system based on mass spectrometry analysis proposed by the present invention will be further described in detail below with reference to the accompanying drawings and specific examples. It should be noted that all the drawings are in a very simplified form and use imprecise scales, and are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention. In addition, the structures shown in the drawings are often a part of the actual structures. In particular, each drawing needs to display different emphases, and sometimes uses different scales.

[0061] It should be noted that "first", "second", etc. in the specification, claims and description of the drawings of the present invention are used to distinguish similar objects in order to describe the embodiments of the present invention, and are not used to describe specific It is to be understood that the constructions so used are ...

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Abstract

The invention provides a mass spectrometry-based protein de novo peptide sequencing method and a system. The system comprises a convolutional neural network model, a migration neural network model and a multi-modal data model; the convolutional neural network model extracts mass spectrum MS1 data and mass spectrum MS2 data from the original mass spectrum, and performs feature extraction and processing; the migration neural network model is migrated to perform deep learning on the convolutional neural network model; and the multi-modal data model trains and predicts the convolutional neural network model and the migration neural network model by using the amino acid sequence to obtain a peptide fragment sequence. According to the method, the mass spectrum MS2 data is filtered and screened through the ion retention time of the mass spectrum MS1 data, and deep learning is performed on the convolution model by using the migration neural network model, so that the peptide fragment sequence of the original map can be accurately predicted finally, and the problem of how to improve the accuracy of no reference sequencing in protein de novo peptide sequencing is solved.

Description

technical field [0001] The invention relates to the technical field of biological information, in particular to a protein de novo peptide sequencing method and system based on mass spectrometry analysis. Background technique [0002] In proteomics, de novo peptide sequencing from amino acid sequence data in mass spectrometry plays a key role in characterizing new protein sequences. The task of de novo peptide sequencing is to reconstruct the amino acid sequence of a peptide given its mass spectrum (MS / MS spectrum) and the molecular mass of the peptide sequence. A mass spectrum can be represented as a distribution of intensity versus mass (more precisely, mass-to-charge ratio m / z) of ions obtained from peptide fragmentation within a mass spectrometer. [0003] Over the past many years, this field has been actively researched, and many reference-free sequencing tools have been proposed, such as PepNovo, PEAKS, NovoHMM, MSNovo, pNovo, UniNovo, and Novor. However, computationa...

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Application Information

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IPC IPC(8): G16B40/10G16B30/00G01N33/68
CPCG16B40/10G16B30/00G01N33/6818G01N33/6848
Inventor 阮宏强张鹏薛冰冰
Owner 上海中科新生命生物科技有限公司
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