AttnPep: A Self-Attention-Based Deep Learning Method for Peptide Identification in Shotgun Proteomics-Reference-Cited by-同舟云学术

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AttnPep: A Self-Attention-Based Deep Learning Method for Peptide Identification in Shotgun Proteomics

Published:2024-01-22 Issue:2 Volume:23 Page:834-843
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Li Yulin¹,He Qingzu¹²,Guo Huan¹,Shuai Stella C.³,Cheng Jinyan²,Liu Liyu²,Shuai Jianwei¹²^ORCID

Affiliation:

1. Department of Physics, Xiamen University, Xiamen 361005, China

2. Wenzhou Key Laboratory of Biophysics, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325001, China

3. Biological Science, Northwestern University, Evanston, Illinois 60208, United States

Funder

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.3c00729

Reference47 articles.

1. A mass-tolerant database search identifies a large proportion of unassigned spectra in shotgun proteomics as modified peptides

2. An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database

3. Probability-based protein identification by searching sequence databases using mass spectrometry data

4. A Deeper Look into Comet—Implementation and Features

5. Comet: An open-source MS/MS sequence database search tool

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dear‐PSM: A deep learning‐based peptide search engine enables full database search for proteomics;Smart Medicine;2024-08-27

2. ProPept-MT: A Multi-Task Learning Model for Peptide Feature Prediction;International Journal of Molecular Sciences;2024-06-30

3. AttnPep: A Self-Attention-Based Deep Learning Method for Peptide Identification in Shotgun Proteomics;Journal of Proteome Research;2024-03-20

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