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相关论文: Correlation between sequence hydrophobicity and su…

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The structures of proteins exhibit secondary elements composed of helices and loops. Comparison of several water-only hydrophobicity scales with the functionalities of two repeat proteins shows that these secondary elements possess…

软凝聚态物质 · 物理学 2008-03-04 J. C. Phillips

The hydrophobic effect is the dominant force which drives a protein towards its native state, but its physics has not been thoroughly understood yet. We introduce an exactly solvable model of the solvation of non-polar molecules in water,…

统计力学 · 物理学 2007-05-23 Pierpaolo Bruscolini , Lapo Casetti

Applying multicanonical simulations we investigated folding properties of off-lattice heteropolymers employing a mesoscopic hydrophobic-polar model. We study for various sequences folding channels in the free-energy landscape by comparing…

软凝聚态物质 · 物理学 2009-02-17 Stefan Schnabel , Michael Bachmann , Wolfhard Janke

Topological properties of native folds are obtained from statistical analysis of 160 low homology proteins covering the four structural classes. This is done analysing one, two and three-vertex joint distribution of quantities related to…

生物物理 · 物理学 2007-05-23 Nelson Augusto Alves , Alexandre Souto Martinez

The hydrophobic/polar HP model on the square lattice has been widely used to investigate basics of protein folding. In the cases where all designing sequences (sequences with unique ground states) were enumerated without restrictions on the…

软凝聚态物质 · 物理学 2007-05-23 Anders Irbäck , Carl Troein

Based on recent studies on hydrophobic interactions, it is devoted to investigate the directional nature of hydrophobic interactions. It means that the hydrophobic interactions are dependent on the relative orientations as the solutes tend…

软凝聚态物质 · 物理学 2021-05-19 Qiang Sun

Interfaces are a most common motif in complex systems. To understand how the presence of interfaces affect hydrophobic phenomena, we use molecular simulations and theory to study hydration of solutes at interfaces. The solutes range in size…

软凝聚态物质 · 物理学 2014-09-05 Amish J. Patel , Patrick Varilly , Sumanth N. Jamadagni , Hari Acharya , Shekhar Garde , David Chandler

Proteins fold to a specific functional conformation with a densely packed hydrophobic core that controls their stability. We develop a geometric, yet all-atom model for proteins that explains the universal core packing fraction of…

软凝聚态物质 · 物理学 2025-03-28 Alex T. Grigas , Zhuoyi Liu , Jack A. Logan , Mark D. Shattuck , Corey S. O'Hern

The three dimensional structure of a protein is an outcome of the interactions of its constituent amino acids in 3D space. Considering the amino acids as nodes and the interactions among them as edges we have constructed and analyzed…

生物大分子 · 定量生物学 2010-07-26 Dhriti Sengupta , Sudip Kundu

Hydrogen bonds are a common feature in protein folding and aggregation. Due to their chemical peculiarities in terms of strength and directionality, a particular attention must be paid to the definition of the hydrogen bond potential…

生物大分子 · 定量生物学 2012-08-13 Marta Enciso

The interactions of a protein, its phase behavior, and ultimately, its ability to function, are all influenced by the interactions between the protein and its hydration waters. Here we study proteins with a variety of sizes, shapes,…

化学物理 · 物理学 2018-11-08 Nicholas B. Rego , Erte Xi , Amish J. Patel

Lattice protein models, as the Hydrophobic-Polar (HP) model, are a common abstraction to enable exhaustive studies on structure, function, or evolution of proteins. A main issue is the high number of optimal structures, resulting from the…

计算工程、金融与科学 · 计算机科学 2009-10-21 Martin Mann , Rolf Backofen , Sebastian Will

We present a coarse-grained lattice model to study the influence of water on the recognition process of two rigid proteins. The basic model is formulated in terms of the hydrophobic effect. We then investigate several modifications of our…

生物物理 · 物理学 2015-05-13 Johannes Taktikos , Hans Behringer

Unstructured proteins can modulate cellular responses to environmental conditions by undergoing coil-globule transitions and phase separation. However, the molecular mechanisms of these phenomena still need to be fully understood. Here, we…

软凝聚态物质 · 物理学 2023-06-28 Bernat Durà Faulí , Valentino Bianco , Giancarlo Franzese

Protein structure prediction based on Hydrophobic-Polar energy model essentially becomes searching for a conformation having a compact hydrophobic core at the center. The hydrophobic core minimizes the interaction energy between the amino…

计算工程、金融与科学 · 计算机科学 2013-11-01 Swakkhar Shatabda , M. A. Hakim Newton , Duc Nghia Pham , Abdul Sattar

What are the molecular mechanisms that dictate protein-protein binding stability and whether those are related to the ones behind protein fold stability are still largely open questions. Indeed, despite many past efforts, we still lack…

We refine a protein model that reproduces fundamental aspects of protein thermodynamics. The model exhibits two transitions, hot and cold unfolding. The number of relevant parameters is reduced to three: 1) binding energy of folding…

凝聚态物理 · 物理学 2007-05-23 Audun Bakk , Johan S. Hoye , Alex Hansen , Kim Sneppen

The solvation of charged, nanometer-sized spherical solutes in water, and the effective, solvent-induced force between two such solutes are investigated by constant temperature and pressure Molecular Dynamics simulations of model solutes…

软凝聚态物质 · 物理学 2009-11-10 J. Dzubiella , J. -P. Hansen

With the aim to study the relationship between protein sequences and their native structures, we adopt vectorial representations for both sequence and structure. The structural representation is based on the Principal Eigenvector of the…

生物大分子 · 定量生物学 2007-05-23 Ugo Bastolla , Markus Porto , H. Eduardo Roman , Michele Vendruscolo

Protein-protein binding enables orderly and lawful biological self-organization, and is therefore considered a miracle of nature. Protein-protein binding is steered by electrostatic forces, hydrogen bonding, van der Waals force, and…

生物大分子 · 定量生物学 2022-02-23 Lin Yang , Shuai Guo , Chengyu Hou , Chencheng Liao , Jiacheng Li , Liping Shi , Xiaoliang Ma , Shenda Jiang , Bing Zheng , Yi Fang , Lin Ye , Xiaodong He