pDeepXL: MS/MS Spectrum Prediction for Cross-Linked Peptide Pairs by Deep Learning-Reference-Cited by-同舟云学术

pDeepXL: MS/MS Spectrum Prediction for Cross-Linked Peptide Pairs by Deep Learning

Published:2021-04-06 Issue:5 Volume:20 Page:2570-2582
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Chen Zhen-Lin¹²^ORCID,Mao Peng-Zhi¹²,Zeng Wen-Feng¹²^ORCID,Chi Hao¹²,He Si-Min¹²

Affiliation:

1. Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China

2. University of Chinese Academy of Sciences, Beijing 100049, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.0c01004

Reference56 articles.

1. On the Accuracy and Limits of Peptide Fragmentation Spectrum Prediction

2. OpenMS-Simulator: an open-source software for theoretical tandem mass spectrum prediction

3. MS/MS Spectrum Prediction for Modified Peptides Using pDeep2 Trained by Transfer Learning

4. pDeep: Predicting MS/MS Spectra of Peptides with Deep Learning

5. Updated MS²PIP web server delivers fast and accurate MS² peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques

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