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相关论文: Statistical mechanics of a correlated energy lands…

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The energy landscapes of proteins have evolved to be different from most random heteropolymers. Many studies have concluded that evolutionary selection for rapid and reliable folding to a given structure that is stable at biological…

无序系统与神经网络 · 物理学 2009-11-10 Steven S. Plotkin , Peter G. Wolynes

The understanding, and even the description of protein folding is impeded by the complexity of the process. Much of this complexity can be described and understood by taking a statistical approach to the energetics of protein conformation,…

chem-ph · 物理学 2008-02-03 J. D. Bryngelson , J. N. Onuchic , N. D. Socci , P. G. Wolynes

A geometric analysis of the global properties of the energy landscape of a minimalistic model of a polypeptide is presented, which is based on the relation between dynamical trajectories and geodesics of a suitable manifold, whose metric is…

统计力学 · 物理学 2009-11-13 Lorenzo N. Mazzoni , Lapo Casetti

We study the geometric properties of the energy landscape of coarse-grained, off-lattice models of polymers by endowing the configuration space with a suitable metric, depending on the potential energy function, such that the dynamical…

统计力学 · 物理学 2007-05-23 Lorenzo N. Mazzoni , Lapo Casetti

Protein folding is analyzed using a replica variational formalism to investigate some free energy landscape characteristics relevant for dynamics. A random contact interaction model that satisfies the minimum frustration principle is used…

无序系统与神经网络 · 物理学 2009-10-30 Shoji Takada , Peter G. Wolynes

Energy landscape theory describes how a full-length protein can attain its native fold after sampling only a tiny fraction of all possible structures. Although protein folding is now understood to be concomitant with synthesis on the…

生物大分子 · 定量生物学 2013-10-17 David S. Tourigny

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

We study the free energy landscape of the small peptide Met-enkephalin. Our data were obtained from a generalized-ensemble Monte Carlo simulation taking the interactions among all atoms into account. We show that the free energy landscape…

凝聚态物理 · 物理学 2007-05-23 U. H. E. Hansmann , Y. Okamoto , J. Onuchic

We use energy landscape methods to investigate the response of a supercooled liquid to random pinning. We classify the structural similarity of different energy minima using a measure of overlap. This analysis reveals a correspondence…

统计力学 · 物理学 2019-01-18 S. P. Niblett , V. K. de Souza , R. L. Jack , D. J Wales

A theoretical framework is developed to study the dynamics of protein folding. The key insight is that the search for the native protein conformation is influenced by the rate r at which external parameters, such as temperature, chemical…

生物大分子 · 定量生物学 2009-11-13 Gregg Lois , Jerzy Blawzdziewicz , Corey S. O'Hern

We use a free energy functional theory to elucidate general properties of heterogeneously ordering, fast folding proteins, and we test our conclusions with lattice simulations. We find that both structural and energetic heterogeneity can…

无序系统与神经网络 · 物理学 2009-10-31 Steven S. Plotkin , Jose N. Onuchic

Energy landscape theory describes how a full-length protein can attain its native fold by sampling only a tiny fraction of all possible structures. Although protein folding is now understood to be concomitant with synthesis on the ribosome,…

生物大分子 · 定量生物学 2014-09-25 David S Tourigny

A central goal of protein-folding theory is to predict the stochastic dynamics of transition paths --- the rare trajectories that transit between the folded and unfolded ensembles --- using only thermodynamic information, such as a…

生物大分子 · 定量生物学 2018-08-09 William M. Jacobs , Eugene I. Shakhnovich

In this article the configurational space of two simple protein models consisting of polymers composed of a periodic sequence of four different kinds of monomers is studied as a function of temperature. In the protein models, hydrogen bond…

软凝聚态物质 · 物理学 2012-03-26 Hanif Bayat Movahed , Ramses van Zon , Jeremy Schofield

The classical approach to protein folding inspired by statistical mechanics avoids the high dimensional structure of the conformation space by using effective coordinates. Here we introduce a network approach to capture the statistical…

生物大分子 · 定量生物学 2007-05-23 Erzsebet Ravasz , S. Gnanakaran , Zoltan Toroczkai

Dynamical connectivity graphs, which describe dynamical transition rates between local energy minima of a system, can be displayed against the background of a disconnectivity graph which represents the energy landscape of the system. The…

统计力学 · 物理学 2009-10-31 Piotr Garstecki , Trinh Xuan Hoang , Marek Cieplak

An all-atom model of proteins is used to show that the same sequence of amino acids can have many alternative structures, that are very distant from, and that can be as stable as, the corresponding native structure. Such alternative…

生物物理 · 物理学 2008-02-11 Leonor Cruzeiro

In systems characterized by a rough potential energy landscape, local energetic minima and saddles define a network of metastable states whose topology strongly influences the dynamics. Changes in temperature, causing the merging and…

软凝聚态物质 · 物理学 2009-07-24 Marco Baiesi , Lorenzo Bongini , Lapo Casetti , Lorenzo Tattini

Local minima and the saddle points separating them in the energy landscape are known to dominate the dynamics of biopolymer folding. Here we introduce a notion of a "folding funnel" that is concisely defined in terms of energy minima and…

生物大分子 · 定量生物学 2009-11-13 Konstantin Klemm , Christoph Flamm , Peter F. Stadler

The folding pathway and rate coefficients of the folding of a knotted protein are calculated for a potential energy function with minimal energetic frustration. A kinetic transition network is constructed using the discrete path sampling…

生物大分子 · 定量生物学 2010-07-05 Michael C. Prentiss , David J. Wales , Peter G. Wolynes
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