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Multilevel self-assembly involving small structured groups of nano-particles provides new routes to development of functional materials with a sophisticated architecture. Apart from the inter-particle forces, the geometrical shapes and…

物理与社会 · 物理学 2017-11-15 Milovan Suvakov , Miroslav Andjelkovic , Bosiljka Tadic

The dynamics of two 12-monomer heteropolymers on the square lattice is studied exactly within the master equation approach. The time evolution of the occupancy of the native state is determined. At low temperatures, the median folding time…

统计力学 · 物理学 2009-09-25 Marek Cieplak , Malte Henkel , Jayanth R. Banavar

Mixtures of nanoparticles and polymer-like objects are encountered in many nanotechnological applications and biological systems. We study the behavior of grafted polymer layers decorated by nanoparticles that are attracted to the polymers…

软凝聚态物质 · 物理学 2011-10-31 Michael G. Opferman , Rob D. Coalson , David Jasnow , Anton Zilman

To what extent do general features of folding/unfolding kinetics of small globular proteins follow from their thermodynamic properties? To address this question, we investigate a new simplifed protein chain model that embodies a cooperative…

软凝聚态物质 · 物理学 2007-05-23 Huseyin Kaya , Hue Sun Chan

Proteins with nontrivial topology, containing knots and slipknots, have the ability to fold to their native states without any additional external forces invoked. A mechanism is suggested for folding of these proteins, such as YibK and…

生物大分子 · 定量生物学 2010-01-06 Joanna I. Sułkowska , Piotr Sułkowski , José N. Onuchic

Though the problem of sequence-reversed protein folding is largely unexplored, one might speculate that reversed native protein sequences should be significantly more foldable than purely random heteropolymer sequences. In this article, we…

生物大分子 · 定量生物学 2016-06-20 Yuanzhao Zhang , Jeffrey K Weber , Ruhong Zhou

We present Monte Carlo computer simulations for melts of semiflexible randomly knotted and randomly concatenated ring polymers on the fcc lattice and in slit confinement. Through systematic variation of the slit width at fixed melt density,…

软凝聚态物质 · 物理学 2023-07-06 Mattia Alberto Ubertini , Angelo Rosa

The conventional theory of homogeneous and heterogeneous nucleation in a supersaturated vapor is tested by Monte Carlo simulations of the lattice gas (Ising) model with nearest-neighbor attractive interactions on the simple cubic lattice.…

软凝聚态物质 · 物理学 2013-05-07 Fabian Schmitz , Peter Virnau , Kurt Binder

A range of percolation models of cluster systems of composites is discussed. In the models the parameters of the clusters of a substance and inner boundaries were obtained by the Monte Carlo method, and the possibility of affecting the…

材料科学 · 物理学 2017-08-18 Alexander Herega

We address the folding induced by differential growth in soft layered solids via an elementary model that consists of a soft growing neo-Hookean elastic layer adhered to a deep elastic substrate. As the layer/substrate modulus ratio is…

软凝聚态物质 · 物理学 2015-09-30 Tuomas Tallinen , John S. Biggins

In this work, we discovered a fundamental connection between selection for protein stability and emergence of preferred structures of proteins. Using standard exact 3-dimensional lattice model we evolve sequences starting from random ones…

基因组学 · 定量生物学 2007-05-23 Konstantin B. Zeldovich , Igor N. Berezovsky , Eugene I. Sha

Chromosomes are crumpled polymer chains further folded into a sequence of stochastic loops via loop extrusion. While extrusion has been verified experimentally, the particular means by which the extruding complexes bind DNA polymer remains…

软凝聚态物质 · 物理学 2023-06-14 Kirill Polovnikov , Bogdan Slavov

The functionality of proteins is related to their structure in the native state. Protein structures are made up of emergent building blocks of helices and almost planar sheets. A simple coarse-grained geometrical model of a flexible tube…

Experiments have revealed that membrane proteins can form two-dimensional clusters with regular translational and orientational protein arrangements, which may allow cells to modulate protein function. However, the physical mechanisms…

生物大分子 · 定量生物学 2016-11-04 Osman Kahraman , Peter D. Koch , William S. Klug , Christoph A. Haselwandter

Recent advances in coarse-grained lattice and off-lattice protein models are reviewed. The sequence dependence of thermodynamical folding properties are investigated and evidence for non-randomness of the binary sequences of good folders…

高能物理 - 格点 · 物理学 2015-06-25 C. Peterson

Within the frame of an effective, coarse-grained hydrophobic-polar protein model, we employ multicanonical Monte Carlo simulations to investigate free-energy landscapes and folding channels of exemplified heteropolymer sequences, which are…

软凝聚态物质 · 物理学 2009-11-13 Stefan Schnabel , Michael Bachmann , Wolfhard Janke

Colloidal systems offer the ideal conditions to study the nucleation process, both from an experimental viewpoint, due to their relative large size and long time-scales, and from a modeling point of view, due to the tunability of their…

软凝聚态物质 · 物理学 2016-11-23 John Russo , Hajime Tanaka

Novel numerical techniques, validated by an analysis of barnase and chymotrypsin inhibitor, are used to elucidate the paramount role played by the geometry of the protein backbone in steering the folding to the correct native state. It is…

统计力学 · 物理学 2009-10-31 Cristian Micheletti , Jayanth R. Banavar , Amos Maritan , Flavio Seno

The prediction of the biologically active native conformation of a protein is one of the fundamental challenges of structural biology. This problem remains yet unsolved mainly due to three factors: the partial knowledge of the effective…

生物大分子 · 定量生物学 2007-05-23 Jose Luis Alonso , Gregory A. Chass , Imre G. Csizmadia , Pablo Echenique , Alfonso Tarancon

We propose a general method for predicting potentially good folders from a given number of amino acid sequences. Our approach is based on the calculation of the rate of convergence of each amino acid chain towards the native structure using…

生物物理 · 物理学 2013-02-07 Dmitry K. Gridnev , Pedro Ojeda-May , Martin E. Garcia
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