Evidence map›Paper›PMID 42420201›Full record

ArticleJournal of the American Chemical Society2026

Site-Specific Hydrogen-Deuterium Exchange Mass Spectrometry for Deep Explorations of Dynamic Shifts in Protein-Drug Interactions.

Joseph Anacleto, Esther Wolf, Suzanne Ackloo, Cheryl Arrowsmith, Yves LeBlanc, Cristina Lento, Derek J Wilson

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Joseph AnacletoDepartment of Chemistry, York University, Toronto, Ontario M3J 1P3, Canada.
Esther WolfStructural Genomics Consortium, University of Toronto, Toronto, Ontario M5G 1L7, Canada.
Suzanne AcklooStructural Genomics Consortium, University of Toronto, Toronto, Ontario M5G 1L7, Canada.ORCID 0000-0002-9696-1839
Cheryl ArrowsmithStructural Genomics Consortium, University of Toronto, Toronto, Ontario M5G 1L7, Canada.
Yves LeBlancSciex, Concord, Ontario L4K 4V8, Canada.ORCID 0000-0002-3801-3590
Cristina LentoDepartment of Chemistry, York University, Toronto, Ontario M3J 1P3, Canada.
Derek J WilsonDepartment of Chemistry, York University, Toronto, Ontario M3J 1P3, Canada.ORCID 0000-0002-7012-6085

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrogen-Deuterium eXchange Mass Spectrometry (HDX-MS) is a dynamics-sensitive structural method that has rapidly achieved widespread adoption in the biopharmaceuticals industry, owing to its ability to quickly identify binding sites and to provide a molecular mechanism of action for drug candidates. However, a central limitation of conventional HDX-MS is that it has substantially lower spatial resolution than other structural techniques, typically providing information averaged over "segments" of five amino acids or more. Here, we demonstrate a sensitive, broadly applicable method for single amino acid resolution, i.e., site-specific HDX-MS measurements. Using a set of five therapeutic candidates targeting the highly druggable cancer target WDR5, we explore the greatly enhanced analytical power that arises from site specificity, including binding mode characterization, affinity ranking, and the detection of features that are "silent" in conventional peptide-level HDX-MS experiments.

Indexed as

Hydrogen Deuterium Exchange-Mass SpectrometryProteinsBinding SitesHumansModels, MolecularProtein BindingProteins

Identifiers

PMID42420201
PMCPMC13397542

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.