Protein turnover models for LC-MS data of heavy water metabolic labeling.

Sadygov, Rovshan G

Sadygov, Rovshan G.

Affiliation

Sadygov RG; Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, 301 University of Blvd, Galveston, TX 77555, USA.

Brief Bioinform ; 23(2)2022 03 10.

Article in En | MEDLINE | ID: mdl-35062023

Subject(s)

Peptides; Tandem Mass Spectrometry; Chromatography, Liquid/methods; Deuterium Oxide/analysis; Deuterium Oxide/metabolism; Isotope Labeling/methods; Peptides/metabolism; Proteolysis; Tandem Mass Spectrometry/methods

Key words

evolution of deuterium-enriched mass isotopomers; nonlinear models of time course data; protein turnover; rate constant estimation from metabolic labeling with heavy water followed by liquid chromatography mass spectrometry (LCMS)

Fulltext

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / Tandem Mass Spectrometry Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Type: Article Affiliation country: United States

Fulltext

XML

PubMed Links

Search on Google