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Wang-Landau sampling has been applied to investigate the thermodynamics and structural properties of a lattice hydrophobic-polar heteropolymer (the HP protein model) interacting with an attractive substrate. For simplicity, we consider a…

软凝聚态物质 · 物理学 2013-01-16 Ying Wai Li , Thomas Wüst , David P. Landau

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

We present results from extensive molecular dynamics simulations of collapse transitions of hydrophobic polymers in explicit water focused on understanding effects of lengthscale of the hydrophobic surface and of attractive interactions on…

统计力学 · 物理学 2007-05-23 Manoj V. Athawale , Gaurav Goel , Tuhin Ghosh , Thomas M. Truskett , Shekhar Garde

Simple coarse-grained hydrophobic-polar models for heteropolymers as the lattice HP and the off-lattice AB model allow a general classification of characteristic behaviors for hydrophobic-core based tertiary folding. The strongly reduced…

软凝聚态物质 · 物理学 2007-10-25 Michael Bachmann , Wolfhard Janke

Folding channels and free-energy landscapes of hydrophobic-polar heteropolymers are discussed on the basis of a minimalistic off-lattice coarse-grained model. We investigate how rearrangements of hydrophobic and polar monomers in a…

软凝聚态物质 · 物理学 2009-11-13 Stefan Schnabel , Michael Bachmann , Wolfhard Janke

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

We study conformational transitions of simple coarse-grained models for protein-like heteropolymers on the simple cubic lattice and off-lattice, respectively, by means of multicanonical sampling algorithms. The effective hydrophobic/polar…

软凝聚态物质 · 物理学 2015-05-13 Michael Bachmann , Wolfhard Janke

We have performed chain-growth simulations of minimalistic hybrid lattice models for polymers interacting with interfaces of attractive solid substrates in order to gain insights into the conformational transitions of the polymers in the…

软凝聚态物质 · 物理学 2011-07-04 Michael Bachmann , Wolfhard Janke

Hydrophobicity is thought to be one of the primary forces driving the folding of proteins. On average, hydrophobic residues occur preferentially in the core, whereas polar residues tends to occur at the surface of a folded protein. By…

生物大分子 · 定量生物学 2007-05-23 Susanne Moelbert , Eldon Emberly , Chao Tang

Coarse-grained (lattice-) models have a long tradition in aiding efforts to decipher the physical or biological complexity of proteins. Despite the simplicity of these models, however, numerical simulations are often computationally very…

软凝聚态物质 · 物理学 2012-09-14 Thomas Wüst , David P. Landau

Applying the contact density chain-growth algorithm to lattice heteropolymers, we identify the conformational transitions of a nongrafted hydrophobic-polar heteropolymer with 103 residues in the vicinity of a polar, a hydrophobic, and a…

软凝聚态物质 · 物理学 2009-11-13 Michael Bachmann , Wolfhard Janke

We show that Wang-Landau sampling, combined with suitable Monte Carlo trial moves, provides a powerful method for both the ground state search and the determination of the density of states for the hydrophobic-polar (HP) protein model and…

软凝聚态物质 · 物理学 2015-03-17 Thomas Wüst , David P. Landau

We investigate the folding and forced-unbinding transitions of adsorbed semiflexible polymer chains using theory and simulations. These processes describe biologically relevant phenomena that include adhesive interactions between proteins…

软凝聚态物质 · 物理学 2007-05-23 V. Barsegov , D. Thirumalai

Different aspects of protein folding are illustrated by simplified polymer models. Stressing the diversity of side chains (residues) leads one to view folding as the freezing transition of an heteropolymer. Technically, the most common…

软凝聚态物质 · 物理学 2007-05-23 T. Garel

We discuss recent theoretical developments in the study of simple lattice models of proteins. Such models are designed to understand general features of protein structures and mechanism of folding. Among the topics covered are (i) the use…

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

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

Using a simple three-dimensional lattice copolymer model and Monte Carlo dynamics, we study the collapse and folding of protein-like heteropolymers. The polymers are 27 monomers long and consist of two monomer types. Although these chains…

凝聚态物理 · 物理学 2009-10-22 Nicholas D. Socci , Jose' Nelson Onuchic

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 results of Monte Carlo computer simulations of a coarse-grained hydrophobic-polar Go-like heteropolymer model and discuss thermodynamic properties and kinetics of an exemplified heteropolymer, exhibiting two-state folding…

软凝聚态物质 · 物理学 2009-11-13 Anna Kallias , Michael Bachmann , Wolfhard Janke

Exploring the protein-folding problem has been a long-standing challenge in molecular biology. Protein folding is highly dependent on folding of secondary structures as the way to pave a native folding pathway. Here, we demonstrate that a…

生物大分子 · 定量生物学 2020-09-17 Jiacheng Li , Xiaoliang Ma , Hongchi Zhang , Chengyu Hou , Liping Shi , Shuai Guo , Chenchen Liao , Bing Zheng , Lin Ye , Lin Yang , Xiaodong He
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