Improving Peptide-Spectrum Matching by Fragmentation Prediction Using Hidden Markov Models
Author:
Affiliation:
1. Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Science, University of Copenhagen, Blegdamsvej 3B, DK-2200 Copenhagen, Denmark
2. Intomics A/S, Lottenborgvej 26, DK-2800 Kongens Lyngby, Denmark
Funder
Novo Nordisk Fonden
Publisher
American Chemical Society (ACS)
Subject
General Chemistry,Biochemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.8b00499
Reference23 articles.
1. A draft map of the human proteome
2. Mass-spectrometry-based draft of the human proteome
3. Mass spectrometry-based proteomics
4. Proteomics: a pragmatic perspective
5. Building and Searching Tandem Mass Spectral Libraries for Peptide Identification
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. Retention Time and Fragmentation Predictors Increase Confidence in Identification of Common Variant Peptides;Journal of Proteome Research;2023-09-01
2. Retention time and fragmentation predictors increase confidence in variant peptide identification;2023-04-01
3. A Frequency-Based Approach to Predict the Low-Energy Collision-Induced Dissociation Fragmentation Spectra;ACS Omega;2020-05-27
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