Evidence map›Paper›PMID 37375388›Full record

ReviewMolecules (Basel, Switzerland)2023

Computational Modeling of DNA 3D Structures: From Dynamics and Mechanics to Folding.

Zi-Chun Mu, Ya-Lan Tan, Jie Liu, Ben-Gong Zhang, Ya-Zhou Shi

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Predicting Single-Stranded DNA Oligonucleotides 3D Structures: An Open Issue.Computational and structural biotechnology journal · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Overview and Prospects of DNA Sequence Visualization.International journal of molecular sciences · 2025
    Review
  7. Review
  8. Embracing exascale computing in nucleic acid simulations.Current opinion in structural biology · 2024
    Review
  9. Review
  10. 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

5 authors.

Zi-Chun MuResearch Center of Nonlinear Science, School of Mathematical & Physical Sciences, Wuhan Textile University, Wuhan 430073, China.
Ya-Lan TanResearch Center of Nonlinear Science, School of Mathematical & Physical Sciences, Wuhan Textile University, Wuhan 430073, China.
Jie LiuResearch Center of Nonlinear Science, School of Mathematical & Physical Sciences, Wuhan Textile University, Wuhan 430073, China.
Ben-Gong ZhangResearch Center of Nonlinear Science, School of Mathematical & Physical Sciences, Wuhan Textile University, Wuhan 430073, China.ORCID 0000-0002-2766-6502
Ya-Zhou ShiResearch Center of Nonlinear Science, School of Mathematical & Physical Sciences, Wuhan Textile University, Wuhan 430073, China.

Funding

Department of Education of Hubei Province Q20221705National Natural Science Foundation of China 11605125National Natural Science Foundation of China 11971367National Natural Science Foundation of China 12205223
6 · The paper itself

Abstract

DNA carries the genetic information required for the synthesis of RNA and proteins and plays an important role in many processes of biological development. Understanding the three-dimensional (3D) structures and dynamics of DNA is crucial for understanding their biological functions and guiding the development of novel materials. In this review, we discuss the recent advancements in computer methods for studying DNA 3D structures. This includes molecular dynamics simulations to analyze DNA dynamics, flexibility, and ion binding. We also explore various coarse-grained models used for DNA structure prediction or folding, along with fragment assembly methods for constructing DNA 3D structures. Furthermore, we also discuss the advantages and disadvantages of these methods and highlight their differences.

Indexed as

Molecular Dynamics SimulationProteinsDNAProtein FoldingRNADNAProteinsRNAcoarse-grained modelscomputational modelingDNA 3D structuresmolecular dynamics simulationsstructure fragment assembly

Identifiers

PMID37375388
PMCPMC10303651

What OpenQuestion holds

Textmetadata
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.