Evidence map›Paper›PMID 41429916›Full record

ArticleCommunications chemistry2025

Pushing the limits of hydrogen/deuterium exchange mass spectrometry to study protein:fragment low affinity interactions.

Catarina F Malta, Diana O Silva, Ulrich Grädler, Pedro M F Sousa, Djordje Musil, Daniel Schwarz, Joerg Bomke, Tiago M Bandeiras, Alessio Bortoluzzi

Abstract read
In one paragraph

Article in Communications chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

9 authors.

Catarina F MaltaiBET-Instituto de Biologia Experimental e Tecnológica, Av. da República, Oeiras, Portugal.ORCID http://orcid.org/0000-0003-1997-4537
Diana O SilvaiBET-Instituto de Biologia Experimental e Tecnológica, Av. da República, Oeiras, Portugal.ORCID http://orcid.org/0000-0002-3225-4756
Ulrich GrädlerMerck Healthcare KGaA, Darmstadt, Germany.
Pedro M F SousaiBET-Instituto de Biologia Experimental e Tecnológica, Av. da República, Oeiras, Portugal.ORCID http://orcid.org/0000-0002-6672-3610
Djordje MusilMerck Healthcare KGaA, Darmstadt, Germany.ORCID http://orcid.org/0000-0001-7889-2940
Daniel SchwarzMerck Healthcare KGaA, Darmstadt, Germany.
Joerg BomkeMerck Healthcare KGaA, Darmstadt, Germany.
Tiago M Bandeiras *iBET-Instituto de Biologia Experimental e Tecnológica, Av. da República, Oeiras, Portugal. tiago.bandeiras@ibet.pt.ORCID http://orcid.org/0000-0001-6089-6089
Alessio Bortoluzzi *iBET-Instituto de Biologia Experimental e Tecnológica, Av. da República, Oeiras, Portugal. alessio.bortoluzzi@ibet.pt.ORCID http://orcid.org/0009-0000-1027-8784

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterization of protein-ligand interactions is essential for the pre-clinical development of drug candidates and Hydrogen/Deuterium Exchange Mass Spectrometry (HDX-MS) has emerged as a valuable tool in this process. HDX-MS has predominantly been employed with high affinity compounds with only a few examples of its application for weaker binders such as fragments. Nevertheless, HDX-MS usage could be instrumental in Fragment-Based Drug Discovery (FBDD) programs. In this work, the drug-target protein Cyclophilin D (CypD) was used as a model to explore the boundaries of fragments binding characterization by HDX-MS (fHDX-MS). We performed a systematic study on the optimal conditions for fHDX-MS execution and found that fragments with binding affinities in the double-digit mM range are still amenable to fHDX-MS. We observed that, despite the intrinsic low resolution of HDX-MS, fragments binding sites that partially overlap can still be distinguished. Overall, this study shows that fHDX-MS can be a useful method for FBDD.

Identifiers

PMID41429916
PMCPMC12722766

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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.