AIomics: Exploring More of the Proteome Using Mass Spectral Libraries Extended by Artificial Intelligence-Reference-Cited by-同舟云学术

AIomics: Exploring More of the Proteome Using Mass Spectral Libraries Extended by Artificial Intelligence

Published:2023-05-26 Issue:7 Volume:22 Page:2246-2255
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Geer Lewis Y.¹^ORCID,Lapin Joel¹²,Slotta Douglas J.¹,Mak Tytus D.¹^ORCID,Stein Stephen E.¹^ORCID

Affiliation:

1. Mass Spectrometry Data Center, National Institute of Standards and Technology, Biomolecular Measurement Division, 100 Bureau Dr., Gaithersburg, Maryland 20899, United States

2. Department of Physics, Georgetown University, Washington, D.C. 20057, United States

Funder

U.S. Department of Commerce

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.2c00807

Reference62 articles.

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

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

3. The Paragon Algorithm, a Next Generation Search Engine That Uses Sequence Temperature Values and Feature Probabilities to Identify Peptides from Tandem Mass Spectra

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

5. TANDEM: matching proteins with tandem mass spectra

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