<b>High-Coverage Four-Dimensional Data-Independent Acquisition Proteomics and Phosphoproteomics Enabled by Deep Learning-Driven Multidimensional Predictions</b>-Reference-Cited by-同舟云学术

High-Coverage Four-Dimensional Data-Independent Acquisition Proteomics and Phosphoproteomics Enabled by Deep Learning-Driven Multidimensional Predictions

Published:2023-05-01 Issue:19 Volume:95 Page:7495-7502
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Chen Moran¹,Zhu Pujia¹,Wan Qiongqiong¹,Ruan Xianqin¹,Wu Pengfei¹,Hao Yanhong¹,Zhang Zhourui¹,Sun Jian¹,Nie Wenjing¹,Chen Suming¹^ORCID

Affiliation:

1. The Institute for Advanced Studies, Wuhan University, Wuhan, Hubei 430072, China

Funder

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

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.2c05414

Reference33 articles.

1. Mass spectrometry-based proteomics: existing capabilities and future directions

2. Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry

3. Deep learning approaches for data-independent acquisition proteomics

4. In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics

5. DeepPhospho accelerates DIA phosphoproteome profiling through in silico library generation

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