MS2CNN: predicting MS/MS spectrum based on protein sequence using deep convolutional neural networks

MS2CNN: predicting MS/MS spectrum based on protein sequence using deep convolutional neural networks

Abstract Background Tandem mass spectrometry allows biologists to identify and quantify protein samples in the form of digested peptide sequences. When performing peptide identification, spectral library search is more sensitive than traditional database search but is limited to peptides that have b...

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Bibliographic Details
Main Authors: Yang-Ming Lin, Ching-Tai Chen, Jia-Ming Chang
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Genomics
Subjects:
Peptide
Mass spectrum
Tandem mass spectrometry
Spectral library search
Protein identification
Machine learning
Online Access:https://doi.org/10.1186/s12864-019-6297-6

Internet

https://doi.org/10.1186/s12864-019-6297-6

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