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相关论文: Energy Landscape of a Model Protein

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We have performed multicanonical simulations of hydrophobic-hydrophilic heteropolymers with a simple effective, coarse-grained off-lattice model to study the structure and the topology of the energy surface. The multicanonical method…

软凝聚态物质 · 物理学 2009-11-13 E. Akturk , H. Arkin Olgar , T. Celik

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

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

A method to reconstruct the energy landscape of small peptides is presented with reference to a 2d off--lattice model. The starting point is a statistical analysis of the configurational distances between generic minima and directly…

软凝聚态物质 · 物理学 2007-05-23 Lorenzo Bongini , Roberto Livi , Antonio Politi , Alessandro Torcini

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

The folding vs. adsorption behaviour of a coarse-grained off-lattice protein model near an attractive surface is presented within the frame of a Multicanonical Monte Carlo simulations. In the polymer-surface model, the Lennard-Jones…

软凝聚态物质 · 物理学 2015-12-23 Handan Arkin , Hakan Alaboz

The Go model is extended to the case when the non-native contact energies may be either attractive or repulsive. The folding temperature is found to increase with the energy of non-native contacts. The repulsive non-native contact energies…

软凝聚态物质 · 物理学 2009-10-31 Mai Suan Li , Marek Cieplak

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

We have studied the topology of the energy landscape of a spin-glass model and the effect of frustration on it by looking at the connectivity and disconnectivity graphs of the inherent structure. The connectivity network shows the adjacency…

统计力学 · 物理学 2008-03-12 Hamid Seyed-allaei , Hamed Seyed-allaei , Mohammad Reza Ejtehadi

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

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 simple lattice model, recently introduced as a generalization of the Wako--Sait\^o model of protein folding, is used to investigate the properties of widely studied molecules under external forces. The equilibrium properties of the model…

软凝聚态物质 · 物理学 2007-10-16 A. Imparato , A. Pelizzola , M. Zamparo

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

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

A coarse-grained off-lattice model that is not biased in any way to the native state is proposed to fold proteins. To predict the native structure in a reasonable time, the model has included the essential effects of water in an effective…

统计力学 · 物理学 2009-11-11 Nan-yow Chen , Zheng-Yao Su , Chung-Yu Mou

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

Lattice models, for their coarse-grained nature, are best suited for the study of the ``designability problem'', the phenomenon in which most of the about 16,000 proteins of known structure have their native conformations concentrated in a…

生物物理 · 物理学 2009-11-07 C. T. Shih , Z. Y. Su , J. F. Gwan , B. L. Hao , C. H. Hsieh , J. L. Lo. , H. C. Lee

A simple approach is proposed to investigate the protein structure. Using a low complexity model, a simple pairwise interaction and the concept of global optimization, we are able to calculate ground states of proteins, which are in…

生物大分子 · 定量生物学 2015-06-26 F. Dressel , S. Kobe

Energetic correlations due to polymeric constraints and the locality of interactions, in conjunction with the apriori specification of the existence of a particularly low energy state, provides a method of introducing the aspect of minimal…

凝聚态物理 · 物理学 2009-10-28 Steven S. Plotkin , Jin Wang , Peter G. Wolynes

In this paper we introduce a novel method of deriving a pairwise potential for protein folding. The potential is obtained by optimization procedure, which simultaneously maximizes the energy gap for {\it all} proteins in the database. To…

凝聚态物理 · 物理学 2007-05-23 L. A. Mirny , E. I. Shakhnovich
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