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相关论文: Thermodynamic stability of folded proteins against…

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The folding ability of a heteropolymer model for proteins subject to Monte Carlo dynamics on a simple cubic lattice is shown to be strongly correlated with the energy gap between the native state and the structurally dissimilar part of the…

凝聚态物理 · 物理学 2007-05-23 Aaron R. Dinner , Victor Abkevich , Eugene Shakhnovich , Martin Karplus

We consider the statistical mechanics of a full set of two-dimensional protein-like heteropolymers, whose thermodynamics is characterized by the coil-to-globular ($T_\theta$) and the folding ($T_f$) transition temperatures. For our model,…

chem-ph · 物理学 2009-10-28 Carlos J. Camacho , D. Thirumalai

The sensitivity of the native states of protein-like heteropolymers to mutations modelled as perturbations in the interaction potential between amino acids is studied. The stability threshold against mutations is shown to be zero for random…

软凝聚态物质 · 物理学 2009-10-30 Michele Vendruscolo , Amos Maritan , Jayanth R. Banavar

In the framework of a lattice-model study of protein folding, we investigate the interplay between designability, thermodynamic stability, and kinetics. To be ``protein-like'', heteropolymers must be thermodynamically stable, stable against…

统计力学 · 物理学 2009-10-31 Régis Mélin , Hao Li , Ned S. Wingreen , Chao Tang

We study folding in 16-monomer heteropolymers on the square lattice. For a given sequence, thermodynamic properties and stability of the native state are unique. However, the kinetics of folding depends on the model of dynamics adopted for…

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

We investigate the sequence-dependent properties of proteins that determine the dual requirements of stability of the native state and its kinetic accessibility using simple cubic lattice models. Three interaction schemes are used to…

软凝聚态物质 · 物理学 2009-10-31 D. K. Klimov , D. Thirumalai

The thermodynamic properties for three different types of off-lattice four-strand beta-sheet protein models interacting via a hybrid Go-type potential have been investigated. Discontinuous molecular dynamic simulations have been performed…

生物物理 · 物理学 2009-11-07 Hyunbum Jang , Carol K. Hall , Yaoqi Zhou

We solve a model that takes into account entropic barriers, frustration, and the organization of a protein-like molecule. For a chain of size $M$, there is an effective folding transition to an ordered structure. Without frustration, this…

凝聚态物理 · 物理学 2009-10-28 Carlos J. Camacho

The results of minimal model calculations suggest that the stability and the kinetic accessibility of the native state of small globular proteins are controlled by few "hot" sites. By mean of molecular dynamics simulations around the native…

软凝聚态物质 · 物理学 2007-05-23 G. Tiana , F. Simona , G. M. S. De Mori , R. A. Broglia , G. Colombo

Here we propose that the upper bound marginal stability of proteins (7.4 kcal/mol) is a universal property that includes macro-molecular complexes and is not affected by molecular changes such as mutations and Post-Translational…

生物大分子 · 定量生物学 2020-03-20 Osvaldo A. Martin , Jorge A. Vila

Native protein folds often have a high degree of symmetry. We study the relationship between the symmetries of native proteins, and their designabilities -- how many different sequences encode a given native structure. Using a…

统计力学 · 物理学 2009-10-31 Tairan Wang , Jonathan Miller , Ned S. Wingreen , Chao Tang , Ken A. Dill

We study the impact of mutations (changes in amino acid sequence) on the thermodynamics of simple protein-like heteropolymers consisting of N monomers, representing the amino acid sequence. The sequence is designed to fold into its native…

凝聚态物理 · 物理学 2009-10-30 G. Tiana , R. A. Broglia , H. E. Roman , E. Vigezzi , E. Shakhnovich

Naturally evolving proteins gradually accumulate mutations while continuing to fold to thermodynamically stable native structures. This process of neutral protein evolution is an important mode of genetic change, and forms the basis for the…

种群与进化 · 定量生物学 2007-05-23 Jesse D Bloom , Alpan Raval , Claus O Wilke

We use a three dimensional cubic lattice model of proteins to study their properties that determine folding to the native state. The protein chain is modeled as a sequence of $N$ beads. The interactions between beads are taken from a…

凝聚态物理 · 物理学 2007-05-23 D. K. Klimov , D. Thirumalai

In order to elucidate the role of the native state topology and the stability of subdomains in protein folding, we investigate free energy landscape of human lysozyme, which is composed of two subdomains, by Monte Carlo simulations. A…

生物大分子 · 定量生物学 2007-05-23 Hiroo Kenzaki , Macoto Kikuchi

The stability of model proteins with designed sequences is assessed in terms of the number of sequences (obtained from the designed sequence through mutations), which fold into 5the ``native'' conformation. By a complete enumeration of the…

软凝聚态物质 · 物理学 2009-10-31 R. A Broglia , G. Tiana , H. E. Roman , E. Vigezzi , E. I. Shakhnovich

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

We investigate the effect of macromolecular crowding on protein folding, using purely repulsive crowding particles and a self-organizing polymer model of protein folding. We find that the thermodynamics of folding for typical alpha-, beta-…

软凝聚态物质 · 物理学 2009-02-27 Jeetain Mittal , Robert B. Best

The mechanics of complex soft matter often cannot be understood in the classical physical frame of flexible polymers or rigid rods. The underlying constituents are semiflexible polymers, whose finite bending stiffness ($\kappa$) leads to…

Neither of the two prevalent theories, namely thermodynamic stability and kinetic stability, provides a comprehensive understanding of protein folding. The thermodynamic theory is misleading because it assumes that free energy is the…

生物物理 · 物理学 2013-07-22 Ji Xu , Mengzhi Han , Ying Ren , Jinghai Li
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