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Cited by 501

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Nonlinear dynamics and statistical physics of DNA

Open access
Peyrard, Michel·2004·Nonlinearity

Abstract

DNA is not only an essential object of study for biologists—it also raises very interesting questions for physicists. This paper discuss its nonlinear dynamics, its statistical mechanics, and one of the experiments that one can now perform at the level of a single molecule and which leads to a non-equilibrium transition at the molecular scale. After a review of experimental facts about DNA, we introduce simple models of the molecule and show how they lead to nonlinear localization phenomena that could describe some of the experimental observations. In a second step we analyse the thermal denaturation of DNA, i.e. the separation of the two strands using standard statistical physics tools as well as an analysis based on the properties of a single nonlinear excitation of the model. The last part discusses the mechanical opening of the DNA double helix, performed in single molecule experiments. We show how transition state theory combined with the knowledge of the equilibrium statistical physics of the system can be used to analyse the results.

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Crossref · 10.1088/0951-7715/17/2/r01

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Metadata

Authors
Peyrard, M.
Venue
Nonlinearity
Published
2004-01-27
Volume
17
Issue
2
Pages
R1-R40
ISSN
  • 0951-7715 (ISSN-L)
  • 1361-6544
OpenAlex
W2092167646
Cited by
501
References
3
FWCI
10.28
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Nonlinear dynamics and statistical physics of DNA. https://app.cochat.ai/papers/10.1088/0951-7715/17/2/r01
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Peyrard, M. (2004). Nonlinear dynamics and statistical physics of DNA. Nonlinearity. https://doi.org/10.1088/0951-7715/17/2/r01

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.