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Estimating Constraints for Protection Factors from HDX-MS Data
SP. Skinner, G. Radou, R. Tuma, JJ. Houwing-Duistermaat, E. Paci,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
Wellcome Trust - United Kingdom
096686/Z/11/Z
Wellcome Trust - United Kingdom
NLK
Cell Press Free Archives
od 1960-01-01 do Před 1 rokem
Free Medical Journals
od 1960 do Před 1 rokem
Freely Accessible Science Journals
od 1960 do Před 12 měsíci
PubMed Central
od 1960 do Před 1 rokem
Europe PubMed Central
od 1960 do Před 1 rokem
Open Access Digital Library
od 1960-09-01
Elsevier Open Access Journals
od 2018-02-27 do 2023-06-20
Elsevier Open Archive Journals
od 1960-09-01 do Před 1 rokem
- MeSH
- amidy chemie MeSH
- deuterium chemie MeSH
- hmotnostní spektrometrie metody normy MeSH
- komplement C3 chemie MeSH
- peptidy chemie MeSH
- vodíková vazba MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Hydrogen/deuterium exchange monitored by mass spectrometry is a promising technique for rapidly fingerprinting structural and dynamical properties of proteins. The time-dependent change in the mass of any fragment of the polypeptide chain depends uniquely on the rate of exchange of its amide hydrogens, but determining the latter from the former is generally not possible. Here, we show that, if time-resolved measurements are available for a number of overlapping peptides that cover the whole sequence, rate constants for each amide hydrogen exchange (or equivalently, their protection factors) may be extracted and the uniqueness of the solutions obtained depending on the degree of peptide overlap. However, in most cases, the solution is not unique, and multiple alternatives must be considered. We provide a statistical method that clusters the solutions to further reduce their number. Such analysis always provides meaningful constraints on protection factors and can be used in situations in which obtaining more refined experimental data is impractical. It also provides a systematic way to improve data collection strategies to obtain unambiguous information at single-residue level (e.g., for assessing protein structure predictions at atomistic level).
Astbury Centre for Structural Molecular Biology University of Leeds Leeds United Kingdom
Department of Biostatistics and Research Support Julius Center UMC Utrecht The Netherlands
Faculty of Science University of South Bohemia České Budějovice Czech Republic
School of Cellular and Molecular Biology University of Leeds Leeds United Kingdom
School of Mathematics University of Leeds Leeds United Kingdom
Citace poskytuje Crossref.org
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