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Journal ArticleDOI

Supercoiling and local denaturation of plasmids with a minimalist DNA model.

Fabio Trovato, +1 more
- 30 Sep 2008 - 
- Vol. 112, Iss: 42, pp 13197-13200
TLDR
A new one-bead-per-nucleotide coarse-grained model that combines structural accuracy and predictive power, achieved by means of the accurate choice of the force field terms and their unbiased statistically based parametrization is reported.
Abstract
We report molecular dynamics simulations of DNA nanocircles and submicrometer-sized plasmids with torsional stress. The multiple microseconds time scale is reached thanks to a new one-bead-per-nucleotide coarse-grained model that combines structural accuracy and predictive power, achieved by means of the accurate choice of the force field terms and their unbiased statistically based parametrization. The model is validated with experimental structural data and available all-atom simulations of DNA nanocircles. Besides reproducing the nanocircles' structures and behavior on the short time scale, our model is capable of exploring three orders of magnitude further in time and to sample more efficiently the configuration space, unraveling novel behaviors. We explored the microsecond dynamics of entire small plasmids and observed supercoiling and compaction in the overtwisted case. The stability of overtwisted nanocircles and plasmids is predicted up to macroscopic time scales. Conversely, in the undertwisted case, at physiological values of the superhelical density, after a metastable phase of supercoiling-compaction, we observe the formation and the complex dynamics of denaturation bubbles over a multiple microseconds time scale. Our results indicate that the torsional stress is involved in a delicate balance with the temperature to determine the denaturation equilibrium and regulate the transcription process.

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Citations
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Journal ArticleDOI

Perspective: Coarse-grained models for biomolecular systems.

TL;DR: This review seeks to provide a balanced, coherent, and unified presentation of several distinct approaches for developing CG models, including top-down, network- based, native-centric, knowledge-based, and bottom-up modeling strategies.
Journal ArticleDOI

Structural, mechanical, and thermodynamic properties of a coarse-grained DNA model

TL;DR: The structural, mechanical, and thermodynamic properties of a coarse-grained model of DNA similar to that recently introduced in a study of DNA nanotweezers are explored, resulting in an "average base" description of DNA.
Journal ArticleDOI

Coarse-graining DNA for simulations of DNA nanotechnology

TL;DR: An overview of different approaches to coarse-graining DNA, focussing on those at the nucleotide level that allow the self-assembly processes associated with DNA nanotechnology to be studied, is provided.
Journal ArticleDOI

Coarse-graining DNA for simulations of DNA nanotechnology

TL;DR: In this article, the authors provide an overview of different approaches to coarse-grained description of DNA, focusing on those at the nucleotide level that allow the self-assembly processes associated with DNA nanotechnology to be studied.
Journal ArticleDOI

A systematically coarse-grained model for DNA and its predictions for persistence length, stacking, twist, and chirality.

TL;DR: In this article, a coarse-grained model of DNA with bases modeled as rigid-body ellipsoids is introduced to capture their anisotropic stereochemistry, and interaction potentials are all physicochemical and generated from all-atom simulation/parameterization with minimal phenomenology.
References
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Journal ArticleDOI

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Journal ArticleDOI

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TL;DR: A mesoscale model of DNA is presented that reduces the complexity of a nucleotide to three interactions sites, one each for the phosphate, sugar, and base, thereby rendering the investigation of DNA up to a few microns in length computationally tractable.
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