Evidence map›Paper›PMID 40616262›Full record

ArticleBiophysical journal2025

Deciphering the molecular mechanisms of BPTF interactions with nucleosomes via molecular simulations.

Ryan Hebert, Jeff Wereszczynski

Abstract read
In one paragraph

Article in Biophysical journal, 2025. 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

5 · Who and what money

Authors and funding

2 authors.

Ryan HebertDepartment of Physics, Illinois Institute of Technology, Chicago, Illinois; Center for Molecular Study of Condensed Soft Matter, Illinois Institute of Technology, Chicago, Illinois.
Jeff WereszczynskiDepartments of Physics and Biology, Illinois Institute of Technology, Chicago, Illinois; Center for Molecular Study of Condensed Soft Matter, Illinois Institute of Technology, Chicago, Illinois. Electronic address: jwereszc@illinoistech.edu.

Funding

Probing the Structure/Function/Dynamics Relationship in Biomolecular Complexes With Multiscale Computational TechniquesR35GM119647 · NIGMS · ILLINOIS INSTITUTE OF TECHNOLOGY · PI WERESZCZYNSKI, JEFFERY · 2016 to 2025
$3.8M
NIGMS NIH HHS R35 GM119647
6 · The paper itself

Abstract

Many transcription factors regulate DNA accessibility and gene expression by recognizing post-translational modifications on histone tails within nucleosomes. These interactions are often studied in vitro using short peptide mimics of histone tails, which may overlook conformational changes that occur in the full nucleosomal context. Here, we employ molecular dynamics simulations to investigate the binding dynamics of the plant homeodomain (PHD) finger and bromodomain of bromodomain PHD-finger transcription factor (BPTF), both in solution and bound to either a histone H3 peptide or a full nucleosome. Our results show that BPTF adopts distinct conformational states depending on its binding context, with nucleosome engagement inducing compaction of the multidomain structure. PHD-finger binding displaces the H3 tail from DNA, increasing H3 tail flexibility and promoting compensatory binding of the H4 tail to nucleosomal DNA. This redistribution of histone-DNA contacts weakens overall hydrogen bonding with DNA, suggesting localized destabilization of the nucleosome core. Despite electrostatic repulsion limiting direct reader-DNA contacts, strong van der Waals interactions with the H3 tail stabilize binding. Our results provide atomistic insight into how BPTF engagement modulates nucleosome structure and may facilitate chromatin remodeling.

Indexed as

Molecular Dynamics SimulationNucleosomesTranscription FactorsDNAHistonesProtein BindingDNAHistonesNucleosomesTranscription Factors

Identifiers

PMID40616262
PMCPMC12414703

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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.