Evidence map›Paper›PMID 33876759›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Accurate modeling of DNA conformational flexibility by a multivariate Ising model.

Korbinian Liebl, Martin Zacharias

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 50 citations in OpenAlex.

  1. hexABC seeking the physical code of DNA.Nature communications · 2026
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  16. Twisting DNA by salt.Nucleic acids research · 2022
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  19. Abnormal methylation in theQRB discovery · 2022
    Article
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

2 authors at 1 institution in 1 country.

Korbinian LieblPhysics Department T38, Technical University of Munich, 85748 Garching, Germany.ORCID 0000-0002-2407-4763
Martin ZachariasPhysics Department T38, Technical University of Munich, 85748 Garching, Germany martin.zacharias@mytum.de.ORCID 0000-0001-5163-2663
Technical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sequence-dependent structure and deformability of DNA play a major role for binding of proteins and regulation of gene expression. So far, most efforts to model DNA flexibility are based on unimodal harmonic stiffness models at base-pair resolution. However, multimodal behavior due to distinct conformational substates also contributes significantly to the conformational flexibility of DNA. Moreover, these local substates are correlated to their nearest-neighbor substates. A description for DNA elasticity which includes both multimodality and nearest-neighbor coupling has remained a challenge, which we solve by combining our multivariate harmonic approximation with an Ising model for the substates. In a series of applications to DNA fluctuations and protein-DNA complexes, we demonstrate substantial improvements over the unimodal stiffness model. Furthermore, our multivariate Ising model reveals a mechanical destabilization for adenine (A)-tracts to undergo nucleosome formation. Our approach offers a wide range of applications to determine sequence-dependent deformation energies of DNA and to investigate indirect readout contributions to protein-DNA recognition.

Indexed as

Models, TheoreticalNucleic Acid ConformationAnimalsDNADNA-Binding ProteinsHumansMolecular Dynamics SimulationNucleosomesProtein BindingDNADNA-Binding ProteinsNucleosomesDNA deformabilityindirect readoutnearest-neighbor modelprotein–DNA binding

Identifiers

PMID33876759
PMCPMC8053917
OpenAlexW3149116662

What OpenQuestion holds

Textmetadata
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.