Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/36237
Title: | Deuteros 2.0: peptide-level significance testing of data from hydrogen deuterium exchange mass spectrometry | Authors: | Lau, AM CLAESEN, Jurgen Hansen, K Politis, A |
Editors: | Elofsson, Arne | Issue Date: | 2021 | Publisher: | OXFORD UNIV PRESS | Source: | Bioinformatics (Oxford. Print), 37 (2) , p. 270 -272 | Abstract: | A Summary: 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. | Document URI: | http://hdl.handle.net/1942/36237 | ISSN: | 1367-4803 | e-ISSN: | 1367-4811 | DOI: | 10.1093/bioinformatics/btaa677 | ISI #: | 000649439900020 | Rights: | The Author(s) 2021. Published by Oxford University Press. 270 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
OP-CBIO200698 270..272.pdf | Published version | 258.62 kB | Adobe PDF | View/Open |
WEB OF SCIENCETM
Citations
45
checked on Oct 14, 2024
Page view(s)
26
checked on Sep 7, 2022
Download(s)
6
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.