Work

Prioritizing Peptides for Targeted Mass Spectrometry Experiments Using Deep Learning

Year: 2026

Type: article

Source: Journal of Proteome Research

DOI: 10.1021/acs.jproteome.6c00457

Authors: Shreyash Sonthalia, Bo Wen, Priank Dasgupta, Chris Hsu, Michael J. MacCoss, William Stafford Noble

Institution: University of Washington

Language: English

Topic: Advanced Proteomics Techniques and Applications

Subfield: Spectroscopy

Field: Chemistry

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, National Institute of General Medical Sciences, National Institute of Diabetes and Digestive and Kidney Diseases, National Science Foundation Graduate Research Fellowship Program

Awards: DMS/NIGMS 2: Deep learning for repository-scale analysis of tandem mass spectrometry proteomics data, G3410434598, G8669943159, Quantifying proteins in plasma do democratize personalized medicine for patients with type 1 diabetes

OpenAlex ID: W7213757922

FWCI:

Cites: 29

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