Deuteros 2.0: peptide-level significance testing of data from hydrogen deuterium exchange mass spectrometry.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
19 04 2021
Historique:
received: 10 05 2020
revised: 03 07 2020
accepted: 20 07 2020
pubmed: 30 7 2020
medline: 29 4 2021
entrez: 30 7 2020
Statut: ppublish

Résumé

Hydrogen deuterium exchange mass spectrometry (HDX-MS) is becoming increasing routine for monitoring changes in the structural dynamics of proteins. Differential HDX-MS allows comparison of protein states, such as in the absence or presence of a ligand. This can be used to attribute changes in conformation to binding events, allowing the mapping of entire conformational networks. As such, the number of necessary cross-state comparisons quickly increases as additional states are introduced to the system of study. There are currently very few software packages available that offer quick and informative comparison of HDX-MS datasets and even fewer which offer statistical analysis and advanced visualization. Following the feedback from our original software Deuteros, we present Deuteros 2.0 which has been redesigned from the ground up to fulfill a greater role in the HDX-MS analysis pipeline. Deuteros 2.0 features a repertoire of facilities for back exchange correction, data summarization, peptide-level statistical analysis and advanced data plotting features. Deuteros 2.0 can be downloaded for both Windows and MacOS from https://github.com/andymlau/Deuteros_2.0 under the Apache 2.0 license.

Identifiants

pubmed: 32722756
pii: 5877424
doi: 10.1093/bioinformatics/btaa677
pmc: PMC8055227
doi:

Substances chimiques

Peptides 0
Proteins 0
Hydrogen 7YNJ3PO35Z

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

270-272

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/M009513/1
Pays : United Kingdom

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press.

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Auteurs

Andy M Lau (AM)

Department of Chemistry, King's College London, London SE1 1DB, UK.

Jürgen Claesen (J)

Institute for Environment, Health and Safety, Microbiology Unit, SCK•CEN, Mol 2600, Belgium.
I-Biostat, Data Science Institute, Hasselt University, Hasselt 3500, Belgium.

Kjetil Hansen (K)

Department of Chemistry, King's College London, London SE1 1DB, UK.

Argyris Politis (A)

Department of Chemistry, King's College London, London SE1 1DB, UK.

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Classifications MeSH