2016
DOI: 10.1103/physreve.93.052102
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Rigidity of melting DNA

Abstract: The temperature dependence of DNA flexibility is studied in the presence of stretching and unzipping forces. Two classes of models are considered. In one case the origin of elasticity is entropic due to the polymeric correlations, and in the other the double-stranded DNA is taken to have an intrinsic rigidity for bending. In both cases single strands are completely flexible. The change in the elastic constant for the flexible case due to thermally generated bubbles is obtained exactly. For the case of intrinsi… Show more

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Cited by 8 publications
(6 citation statements)
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References 62 publications
(85 reference statements)
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“…Under spontaneous thermal fluctuations, DNA base pairs may break to give rise to transient opening of the dsDNA. This local conversion of a few bp of dsDNA into two single stranded DNA (ssDNA) corresponds to the formation of the so-called DNA bubbles, which are ∼25 times more flexible than dsDNA ( 4 , 5 ).…”
Section: Introductionmentioning
confidence: 99%
“…Under spontaneous thermal fluctuations, DNA base pairs may break to give rise to transient opening of the dsDNA. This local conversion of a few bp of dsDNA into two single stranded DNA (ssDNA) corresponds to the formation of the so-called DNA bubbles, which are ∼25 times more flexible than dsDNA ( 4 , 5 ).…”
Section: Introductionmentioning
confidence: 99%
“…We show through experiment and theory that this scenario leads to non-exponential decoherence rates and manifests as sub-diffusive quantum mean energy growth. Besides quantum decoherence, these results are relevant in the general context of transport and diffusion in chaotic quantum systems [26][27][28] and disordered nonlinear lattices [29].The dimensionless Hamiltonian for AOKR, i.e., twolevel atoms in a pulsed standing wave of near-resonant arXiv:1607.05605v2 [quant-ph]…”
mentioning
confidence: 99%
“…In the 3D NS case, the λ m are related to the spectral exponents for the inertial-range, power-law form of the energy spectra [41] ; the analogous relation for the 3D CHNS case is not straightforward because the powerlaw ranges in such spectra depend on several parameters in the CHNS equations (see, e.g., Ref. [25]).…”
Section: B Temporal Evolution Of Dmmentioning
confidence: 99%
“…Here, interfacial regions are characterized by large gradients in φ. The CHNS equations have been used to model many binaryfluid systems that are of great current interest : examples include studies of (a) the Rayleigh-Taylor instability [23,24] ; (b) turbulence-induced suppression of the phase separation of the two components of the binary fluid [19] ; (c) multifractal droplet dynamics in a turbulent, binary-fluid mixture [25] ; (d) the coalescence of droplets [26] ; and (e) lattice-Boltzmann treatments of multi-phase flows [19,27].…”
Section: Introductionmentioning
confidence: 99%