Evidence map›Paper›PMID 40289377›Full record

ArticleJournal of chemical theory and computation2025

Unveiling the Conformational Dynamics of the Histone Tails Using Markov State Modeling.

Rutika Patel, Sharon M Loverde

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Mapping Allosteric Communication in the Nucleosome with Conditional Activity.Journal of chemical information and modeling · 2026
    Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Rutika PatelPh.D. Program in Biochemistry, The Graduate Center of the City University of New York, New York, New York 10016, United States.ORCID 0009-0008-0177-0062
Sharon M LoverdePh.D. Program in Biochemistry, The Graduate Center of the City University of New York, New York, New York 10016, United States.ORCID 0000-0002-7643-6498

Funding

Breakthrough Molecular Dynamics Research via an Anton2 SupercomputerR01GM116961 · NIGMS · CARNEGIE-MELLON UNIVERSITY · PI BLOOD, PHILIP D. · 2016 to 2023
$3.0M
Computational Methods to Characterize Structure and Dynamics of the Nucleosome Core ParticleR15GM146228 · NIGMS · COLLEGE OF STATEN ISLAND · PI LOVERDE, SHARON MARIE · 2022 to 2023
$586k
NIGMS NIH HHS R01 GM116961NIGMS NIH HHS R15 GM146228
6 · The paper itself

Abstract

Biomolecules predominantly exert their function by altering conformational dynamics. The nucleosome core particle (NCP) is the fundamental unit of chromatin. DNA with ∼146 base pairs wraps around the histone octamer to form a nucleosome. The histone octamer is composed of two copies of each histone protein (H3, H4, H2A, and H2B) with a globular core and disordered N-terminal tails. Epigenetic modifications of the histone N-terminal tails play a critical role in regulating the chromatin structure and biological processes such as transcription and DNA repair. Here, we report all-atom molecular dynamics (MD) simulations of the nucleosome at microsecond time scales to construct Markov state models (MSMs) to elucidate distinct conformations of the histone tails. We employ time-lagged independent component analysis (tICA) to capture their essential slow dynamics, with k-means clustering used to discretize the conformational space. MSMs unveil distinct states and transition probabilities to characterize the dynamics and kinetics of the tails. Next, we focus on the H2B tail, which is one of the least studied tails. We show that acetylation increases secondary structure formation with increased transition rates. These findings will aid in understanding the functional implications of tail conformations for nucleosome stability and gene regulation.

Indexed as

HistonesMarkov ChainsMolecular Dynamics SimulationKineticsNucleosomesProtein ConformationHistonesNucleosomes

Identifiers

PMID40289377
PMCPMC12080106

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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.