Evidence map›Paper›PMID 34314440›Full record

ArticlePLoS computational biology2021

The kinetic landscape of nucleosome assembly: A coarse-grained molecular dynamics study.

Giovanni B Brandani, Cheng Tan, Shoji Takada

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
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

25 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Article
  3. Determinants of centromeric nucleosome conformation.bioRxiv : the preprint server for biology · 2026
    Article
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  6. Mapping Allosteric Communication in the Nucleosome with Conditional Activity.Journal of chemical information and modeling · 2026
    Article
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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

3 authors at 1 institution in 1 country.

Giovanni B BrandaniDepartment of Biophysics, Graduate School of Science, Kyoto University, Kyoto, Japan.ORCID 0000-0003-3379-0187
Cheng TanDepartment of Biophysics, Graduate School of Science, Kyoto University, Kyoto, Japan.ORCID 0000-0002-8957-4267
Shoji TakadaDepartment of Biophysics, Graduate School of Science, Kyoto University, Kyoto, Japan.ORCID 0000-0001-5385-7217
Kyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The organization of nucleosomes along the Eukaryotic genome is maintained over time despite disruptive events such as replication. During this complex process, histones and DNA can form a variety of non-canonical nucleosome conformations, but their precise molecular details and roles during nucleosome assembly remain unclear. In this study, employing coarse-grained molecular dynamics simulations and Markov state modeling, we characterized the complete kinetics of nucleosome assembly. On the nucleosome-positioning 601 DNA sequence, we observe a rich transition network among various canonical and non-canonical tetrasome, hexasome, and nucleosome conformations. A low salt environment makes nucleosomes stable, but the kinetic landscape becomes more rugged, so that the system is more likely to be trapped in off-pathway partially assembled intermediates. Finally, we find that the co-operativity between DNA bending and histone association enables positioning sequence motifs to direct the assembly process, with potential implications for the dynamic organization of nucleosomes on real genomic sequences.

Indexed as

Chromatin Assembly and DisassemblyComputational BiologyKineticsMarkov ChainsModels, BiologicalMolecular Dynamics SimulationNucleic Acid ConformationNucleosomesProtein ConformationSodium ChlorideNucleosomesSodium Chloride

Identifiers

PMID34314440
PMCPMC8345847
OpenAlexW3185751703

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.