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相关论文: Secondary Structures in Long Compact Polymers

200 篇论文

Single linear polymer chains in dilute solutions under good solvent conditions are studied by Monte Carlo simulations with the pruned-enriched Rosenbluth method up to the chain length $N \sim {\cal O}(10^4)$. Based on the standard simple…

软凝聚态物质 · 物理学 2015-06-24 Hsiao-Ping Hsu

Proposed here is a dynamic Monte-Carlo algorithm that is efficient in simulating dense systems of long flexible chain molecules. It expands on the configurational-bias Monte-Carlo method through the simultaneous generation of a large set of…

统计力学 · 物理学 2018-08-29 Niels Boon

Monte Carlo simulations show that long-range interactions play a major role in determining the folding rates of 48-mer three-dimensional lattice polymers modelled by the Go potential. For three target structures with different native…

生物大分子 · 定量生物学 2007-05-23 P. F. N. Faisca , M. M. Telo da Gama , A. Nunes

Proteins form a very important class of polymers. In spite of major advances in the understanding of polymer science, the protein problem has remained largely unsolved. Here, we show that a polymer chain viewed as a tube not only captures…

生物物理 · 物理学 2007-05-23 J. R. Banavar , A. Flammini , D. Marenduzzo , A. Maritan , A. Trovato

We present a new Monte Carlo scheme for the efficient simulation of multi-polymer systems. The method permits chains to be inserted into the system using a biased growth technique. The growth proceeds via the use of a retractable feeler,…

统计力学 · 物理学 2009-10-31 S. Consta , N. B. Wilding , D. Frenkel , Z. Alexandrowicz

A lattice model is presented for the simulation of dynamics in polymeric systems. Each polymer is represented as a chain of monomers, residing on a sequence of nearest-neighbor sites of a face-centered-cubic lattice. The polymers are self-…

软凝聚态物质 · 物理学 2009-11-10 Alexander van Heukelum , G. T. Barkema

The pivot algorithm is the most efficient known method for sampling polymer configurations for self-avoiding walks and related models. Here we introduce two recent improvements to an efficient binary tree implementation of the pivot…

统计力学 · 物理学 2021-12-22 Nathan Clisby , Dac Thanh Chuong Ho

Using Monte Carlo dynamics and the Monte Carlo Histogram Method, the simple three-dimensional 27 monomer lattice copolymer is examined in depth. The thermodynamic properties of various sequences are examined contrasting the behavior of good…

chem-ph · 物理学 2009-10-28 Nicholas D. Socci , José Nelson Onuchic

The statistics of meander and related problems are studied as particular realizations of compact polymer chain foldings. This paper presents a general discussion of these topics, with a particular emphasis on three points: (i) the use of a…

高能物理 - 理论 · 物理学 2007-05-23 P. Di Francesco , O. Golinelli , E. Guitter

The self-avoid random walk algorithm has been extensively used in the study of polymers. In this work we study the basic properties of the trajectories generated with this algorithm when two interactions are added to it: contact and folding…

软凝聚态物质 · 物理学 2023-04-14 R. J. Santos Neto , A. A. Costa , P. F. Gomes

We map the conformation space of a simple lattice polymer chain to a network, where (i) the vertices of the network have a one-to-one correspondence to the conformations of the chain, and (ii) a link between two vertices indicates the…

软凝聚态物质 · 物理学 2009-10-31 A. Scala , L. A. N. Amaral , M. Barthelemy

The extent of coupling between the folding of a protein and its binding to a substrate varies from protein to protein. Some proteins have highly structured native states in solution, while others are natively disordered and only fold fully…

软凝聚态物质 · 物理学 2012-05-16 Brenda M. Rubenstein , Ivan Coluzza , Mark A. Miller

Many problems in materials science and biology involve particles interacting with strong, short-ranged bonds, that can break and form on experimental timescales. Treating such bonds as constraints can significantly speed up sampling their…

数值分析 · 数学 2020-12-02 Miranda Holmes-Cerfon

Monte Carlo simulations of a Miyazawa-Jernigan lattice-polymer model indicate that, depending on the native's structure geometry, the model exhibits two broad classes of folding mechanisms for two-state folders. Folding to native structures…

软凝聚态物质 · 物理学 2007-05-23 P. F. N. Faisca , M. M. Telo da Gama , R. C. Ball

We study the correlations of classical hardcore dimer models doped with monomers by Monte Carlo simulation. We introduce an efficient cluster algorithm, which is applicable in any dimension, for different lattices and arbitrary doping. We…

强关联电子 · 物理学 2016-08-31 Werner Krauth , R. Moessner

Topologically constrained genome-like polymers often double-fold into tree-like configurations, which can be modelled on the level of folded (ring) polymers or on the level of the underlying random trees. For both descriptions, we have…

软凝聚态物质 · 物理学 2026-05-19 Pieter H. W. van der Hoek , Angelo Rosa , Elham Ghobadpour , Ralf Everaers

Extensive Monte Carlo results are presented for a lattice model of a bottle-brush polymer under good solvent or Theta solvent conditions. Varying the side chain length, backbone length, and the grafting density for a rigid straight…

软凝聚态物质 · 物理学 2009-11-13 Hsiao-Ping Hsu , Wolfgang Paul , Kurt Binder

The interplay of topological constraints and persistence length of ring polymers in their own melt is investigated by means of dynamical Monte Carlo simulations of a three dimensional lattice model. We ask if the results are consistent with…

统计力学 · 物理学 2009-10-31 M. Muller , J. P. Wittmer , M. E. Cates

We study the efficiency of the incomplete enumeration algorithm for linear and branched polymers. There is a qualitative difference in the efficiency in these two cases. The average time to generate an independent sample of $n$ sites for…

统计力学 · 物理学 2009-11-10 Sumedha , Deepak Dhar

Random sequential adsorption of binary mixtures of extended objects on a two-dimensional triangular lattice is studied numerically by means of Monte Carlo simulations. The depositing objects are formed by self-avoiding random walks on the…

统计力学 · 物理学 2009-11-13 I. Lončarević , Lj. Budinski-Petković , S. B. Vrhovac