Prediction of peptide mass spectral libraries with machine learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology
Link
https://www.nature.com/articles/s41587-022-01424-w.pdf
Reference155 articles.
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3. Aebersold, R. & Mann, M. Mass-spectrometric exploration of proteome structure and function. Nature 537, 347–355 (2016).
4. Sinitcyn, P., Rudolph, J. D. & Cox, J. Computational methods for understanding mass spectrometry–based shotgun proteomics data. Annu. Rev. Biomed. Data Sci. 1, 207–234 (2018).
5. Roepstorff, P. & Fohlman, J. Proposal for a common nomenclature for sequence ions in mass spectra of peptides. Biol. Mass. Spectrom. 11, 601 (1984).
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