2007
DOI: 10.1103/physrevlett.99.198102
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Shapes of Semiflexible Polymer Rings

Abstract: The shape of semiflexible polymer rings is studied over their whole range of flexibility. Investigating the joint distribution of asphericity and the nature of asphericity as well as their respective averages, we find two distinct shape regimes depending on the flexibility of the polymer. For a small perimeter to persistence length the fluctuating rings exhibit only planar, elliptical configurations. At higher flexibilities three-dimensional, crumpled structures arise. Analytic calculations confirm the qualita… Show more

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Cited by 78 publications
(120 citation statements)
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“…From our results for the correlation function, ring polymers in classes I and II are clearly described very well by the LSF model, and thus we pursue our comparison with the results of Fisher and coworkers who extensively studied the shape parameters of vesicles. As the correlation function, these shape parameters are convenient measures characterizing the different polymer classes because they depend on the type of polymer (Gaussian, self-avoiding), its dimensionality, its topology, and its rigidity [4,5,27,28]. Typical shape measures include the anisotropy AE and the asphericity A, which are defined as combinations of R 2 G1 and R 2 G2 , the small and large principal axes of the radius-of-gyration tensor R G , by AE ¼ hR 2 G1 =R 2 G2 i and…”
mentioning
confidence: 99%
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“…From our results for the correlation function, ring polymers in classes I and II are clearly described very well by the LSF model, and thus we pursue our comparison with the results of Fisher and coworkers who extensively studied the shape parameters of vesicles. As the correlation function, these shape parameters are convenient measures characterizing the different polymer classes because they depend on the type of polymer (Gaussian, self-avoiding), its dimensionality, its topology, and its rigidity [4,5,27,28]. Typical shape measures include the anisotropy AE and the asphericity A, which are defined as combinations of R 2 G1 and R 2 G2 , the small and large principal axes of the radius-of-gyration tensor R G , by AE ¼ hR 2 G1 =R 2 G2 i and…”
mentioning
confidence: 99%
“…Ring closure of a polymer is one of the important factors influencing its statistical mechanical properties [1], e.g., scaling [2,3], shape [4,5], and diffusion [6][7][8], because it restrains the accessible phase space. The theoretical description of circular chains (knots or catenanes) is a challenging problem, owing to the difficulties inherent to a systematic theoretical analysis of such objects constrained to a unique topology.…”
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confidence: 99%
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“…For the targeted search by proteins along genomic DNA [3,4], long-range spatial and temporal interactions arising from such interplay are known to be crucial. While physical properties of circular polymers are significantly different from those of linear polymers, an understanding comparable to that of open polymers is still lacking [5][6][7][8][9][10][11][12][13][14]. A central complication lies in the topological constraint that severely restricts a rigorous theoretical treatment.…”
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confidence: 99%
“…In particular, the simple analytical interpolation formula for the non-linear force-extension relation of a WLC proposed by Marko and Siggia explains force spectroscopy experiments with DNA (Bustamante et al, 1994;Marko & Siggia, 1995) and has led to a surge of applications in single-molecule experiments. Moreover, the WLC enters theories for polymers in confinement (Odijk, 1983;Semenov, 1986;Morse, 2001), under the application of forces (MacKintosh et al, 1995;Kroy & Frey, 1996;Seifert et al, 1996;Hallatschek et al, 2005), compressive load (Baczynski et al, 2007;Emanuel et al, 2007), under shear (Gittes et al, 1997;Morse, 1998c) or in flow fields (Morse, 1998b;Munk et al, 2006), for their bundles (Heussinger et al, 2007) or rings (Alim & Frey, 2007;Ostermeir et al, 2010). The WLC model has been used to characterize a wide range of other biological macromolecules besides DNA and cytoskeletal polymers, including muscle proteins (Tskhovrebova et al, 1997), RNA (Caliskan et al, 2005) or polysaccharides (Vincent et al, 2007).…”
Section: Fluctuations and Response Of Wormlike Chainsmentioning
confidence: 99%