Evidence map›Paper›PMID 41818213›Full record

ArticlePloS one2026

pH-dependent structural dynamics of neuropeptide Y in aqueous solution.

Hoa Thi Nguyen, Marc Spehr, Ana-Nicoleta Bondar, Paolo Carloni

Abstract read
In one paragraph

Article in PloS one, 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

4 authors.

Hoa Thi NguyenForschungszentrum Jülich, Computational Biomedicine, INM-9, Wilhelm-Johnen Straße, Jülich, Germany.ORCID https://orcid.org/0009-0002-9202-7886
Marc SpehrResearch Training Group 2416 MultiSenses - MultiScales, RWTH Aachen University, Aachen, Germany.ORCID https://orcid.org/0000-0001-6616-4196
Ana-Nicoleta BondarForschungszentrum Jülich, Computational Biomedicine, INM-9, Wilhelm-Johnen Straße, Jülich, Germany.ORCID https://orcid.org/0000-0003-2636-9773
Paolo CarloniForschungszentrum Jülich, Computational Biomedicine, INM-9, Wilhelm-Johnen Straße, Jülich, Germany.ORCID https://orcid.org/0000-0002-9010-0149

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuropeptide Y regulates key molecular processes in the brain. Its interaction with the cell membrane, where it binds to specialized receptors with key physiological roles, likely depends on pH. Available structural ensembles of both porcine and human peptides, solved by nuclear magnetic resonance (NMR) at an acidic pH in aqueous solution, indicate an α-helical core with unstructured termini. However, the protonation states of the carboxylic and histidine residues of the peptide, as well as the interplay between these states and peptide conformational dynamics, remain unexplored. In this study, we performed constant pH simulations and graph-based analyses to investigate the dynamics and H-bond patterns of neuropeptide Y within a pH range of 3.0 to 7.0. We found that an α-helical core is present at all pH values, though its length can vary by 2-3 residues depending on the pH. The pKa of Asp16, part of the α-helix, and of Asp11 may shift by more than one pH unit. Based on these findings, we suggest that performing constant pH simulations may be required to accurately describe neuropeptide Y interactions with its cellular partners at the pH values of interest.

Indexed as

Neuropeptide YWaterAmino Acid SequenceAnimalsHumansHydrogen BondingHydrogen-Ion ConcentrationMolecular Dynamics SimulationProtein Conformation, alpha-HelicalProtein Structure, SecondarySolutionsNeuropeptide YSolutionsWater

Identifiers

PMID41818213
PMCPMC12981483

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.