Evidence map›Paper›PMID 30171440›Full record

ArticleJournal of the American Society for Mass Spectrometry2018

Optimized Workflow for Selecting Peptides for HDX-MS Data Analyses.

Lars Sørensen, Rune Salbo

Abstract read
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In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Modulating pseudokinase conformation from the ATP-binding site.Structure (London, England : 1993) · 2026
    Article
  2. Article
  3. MultiPassMerger: Automated data processing for multipass cyclic ion mobility HDX-MS.Protein science : a publication of the Protein Society · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. MgbioRxiv : the preprint server for biology · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Fundamentals of HDX-MS.Essays in biochemistry · 2023
    Review
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Lars SørensenGlobal Research Technologies, Novo Nordisk A/S, Novo Nordisk Park, DK-2760, Bagsværd, Denmark. lssx@novonordisk.com.ORCID http://orcid.org/0000-0001-7653-4920
Rune SalboResearch and Development, Orion Corporation Orion Pharma, Tengströminkatu 8, FI-20360, Turku, Finland.

Funding

Innovationsfonden 501600085B
6 · The paper itself

Abstract

Hydrogen deuterium exchange measured by mass spectrometry (HDX-MS) is a commonly used technique for studying the structural dynamics of proteins in solution. The first part of any bottom-up HDX-MS experiment is to identify the peptides generated from a digestion step. This requires manual inspection of the identified peptides to determine their use for HDX-MS analysis, which is a time-consuming task. Throughout the literature, there have been different approaches for removing peptides that do not yield quantifiable HDX information. This includes using validity scores from the software used in the generation of the peptide map and that the peptide should be found in two out of three technical replicate experiments. Here, we analyze the previously available methods for filtering the identified peptides in regard to their ability to predict whether a peptide will provide quantifiable HDX-MS data or not. We also present a new score-based system relying on a combination of MS/MS parameters that offers an improved method for separating quantifiable peptides from the nonquantifiable. Using this score-based method reduces the number of peptide spectra that needs to be manually inspected and thereby the time spent curating HDX-MS data. Graphical Abstract ᅟ.

Indexed as

Data analysisHDX-MSPeptide picking

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.