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相关论文: Highly Designable Protein Structures and Inter Mon…

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Using an off-lattice model, we fully enumerate folded conformations of polypeptide chains of up to N = 19 monomers. Structures are found to differ markedly in designability, defined as the number of sequences with that structure as a unique…

软凝聚态物质 · 物理学 2007-05-23 Eldon G. Emberly , Jonathan Miller , Chen Zeng , Ned S. Wingreen , Chao Tang

Protein folds are highly designable, in the sense that many sequences fold to the same conformation. In the present work we derive an expression for the designability in a 20 letter lattice model of proteins which, relying only on the…

凝聚态物理 · 物理学 2009-11-07 G. Tiana , R. A. Broglia , D. Provasi

The protein folding problem has attracted an increasing attention from physicists. The problem has a flavor of statistical mechanics, but possesses the most common feature of most biological problems -- the profound effects of evolution. I…

统计力学 · 物理学 2009-10-31 Chao Tang

We examined what determines the designability of 2-letter codes (H and P) lattice proteins from three points of view. First, whether the native structure is searched within all possible structures or within maximally compact structures.…

软凝聚态物质 · 物理学 2009-10-31 Rie Tatsumi , George Chikenji

By enumerating all sequences of length 20, we study the designability of structures in a two-dimensional Hydrophobic-Polar (HP) lattice model in a wide range of inter-monomer interaction parameters. We find that although the histogram of…

软凝聚态物质 · 物理学 2009-10-31 V. Shahrezaei , M. R. Ejtehadi

We present the results of a self-consistent, unified molecular dynamics study of simple model heteropolymers in the continuum with emphasis on folding, sequence design and the determination of the interaction parameters of the effective…

统计力学 · 物理学 2009-10-31 Cecilia Clementi , Amos Maritan , Jayanth R. Banavar

Making use of a simplified model for protein folding, it can be shown that conformations which are particularly stable when their energy is minimized with respect to amino acid sequence (in the sense that they display a large energy gap to…

软凝聚态物质 · 物理学 2007-05-23 R. A. Broglia , G. Tiana , H. E. Roman

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

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

Here we present an approximate analytical theory for the relationship between a protein structure's contact matrix and the shape of its energy spectrum in amino acid sequence space. We demonstrate a dependence of the number of sequences of…

软凝聚态物质 · 物理学 2009-11-07 Jeremy L. England , Eugene I. Shakhnovich

It is widely accepted that (1) the natural or folded state of proteins is a global energy minimum, and (2) in most cases proteins fold to a unique state determined by their amino acid sequence. The H-P (hydrophobic-hydrophilic) model is a…

计算几何 · 计算机科学 2007-05-23 Oswin Aichholzer , David Bremner , Erik D. Demaine , Henk Meijer , Vera Sacristán , Michael Soss

We present an analytical method for determining the designability of protein structures. We apply our method to the case of two-dimensional lattice structures, and give a systematic solution for the spectrum of any structure. Using this…

软凝聚态物质 · 物理学 2009-10-31 Edo L. Kussell , Eugene I. Shakhnovich

We study the designability of all compact 3x3x3 and 6x6 lattice-protein structures using the Miyazawa-Jernigan (MJ) matrix. The designability of a structure is the number of sequences that design the structure, i.e. sequences that have that…

统计力学 · 物理学 2007-05-23 Hao Li , Chao Tang , Ned Wingreen

We review the recent progress in computational approaches to protein design which builds on advances in statistical-mechanical protein folding theory. In particular, we evaluate the degeneracy of the protein code (i.e. how many sequences…

凝聚态物理 · 物理学 2007-05-23 E. I. Shakhnovich

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

Protein folding and design are major biophysical problems, the solution of which would lead to important applications especially in medicine. Here a novel protein model capable of simultaneously provide quantitative protein design and…

生物物理 · 物理学 2015-06-22 Ivan Coluzza

On the study of protein folding, our understanding about the protein structures is limited. In this paper we find one way to characterize the compact structures of lattice protein model. A quantity called Partnum is given to each compact…

生物物理 · 物理学 2009-11-06 Bin Wang , Zu-guo Yu

Protein structures are a very special class among all possible structures. It was suggested that a ``designability principle'' plays a crucial role in nature's selection of protein sequences and structures. Here we provide a theoretical…

统计力学 · 物理学 2009-10-30 Hao Li , Chao Tang , Ned S. Wingreen

We study a simple heteropolymer model containing sequence-independent local interactions on both square and triangular lattices. Sticking to a two-letter code, we investigate the model for varying strength $\kappa$ of the local…

软凝聚态物质 · 物理学 2009-10-30 Anders Irbäck , Erik Sandelin

Protein sequences are believed to have been selected to provide the stability of, and reliable renaturation to, an encoded unique spatial fold. In recently proposed theoretical schemes, this selection is modeled as ``minimal frustration,''…

凝聚态物理 · 物理学 2009-10-28 Vijay S. Pande , Alexander Yu. Grosberg , Toyoichi Tanaka
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