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相关论文: Effective potentials for Folding Proteins

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The process of protein folding from an unfolded state to a biologically active, folded conformation is governed by many parameters e.g the sequence of amino acids, intermolecular interactions, the solvent, temperature and chaperon…

软凝聚态物质 · 物理学 2010-10-19 Pragya Shukla

The behavior of proteins near interfaces is relevant for biological and medical purposes. Previous results in bulk show that, when the protein concentration increases, the proteins unfold and, at higher concentrations, aggregate. Here, we…

软凝聚态物质 · 物理学 2021-01-19 David March , Valentino Bianco , Giancarlo Franzese

In this paper we investigate the role of native geometry on the kinetics of protein folding based on simple lattice models and Monte Carlo simulations. Results obtained within the scope of the Miyazawa-Jernigan indicate the existence of two…

生物大分子 · 定量生物学 2007-05-23 P. F. N. Faisca , M. M. Telo da Gama

Protein folding is a phenomenon that has been studied for about 50 years and still remains as an unsolved problem. The main feature of this process is that it occurs as an all or none process, so a protein, can jump directly between folded…

生物大分子 · 定量生物学 2020-09-07 German Mino-Galaz

Proteins with nontrivial topology, containing knots and slipknots, have the ability to fold to their native states without any additional external forces invoked. A mechanism is suggested for folding of these proteins, such as YibK and…

生物大分子 · 定量生物学 2010-01-06 Joanna I. Sułkowska , Piotr Sułkowski , José N. Onuchic

Protein rigidity and flexibility can be analyzed accurately and efficiently using the program FIRST. Previous studies using FIRST were designed to analyze the rigidity and flexibility of proteins using a single static (snapshot) structure.…

生物大分子 · 定量生物学 2015-06-15 Adnan Sljoka , Derek Wilson

The effects of cooperativity are studied within Go-Lennard-Jones models of proteins by making the contact interactions dependent on the proximity to the native conformation. The kinetic universality classes are found to remain the same as…

生物大分子 · 定量生物学 2009-11-10 Marek Cieplak

Many aspects of the study of protein folding and dynamics have been affected by the recent advances in machine learning. Methods for the prediction of protein structures from their sequences are now heavily based on machine learning tools.…

生物物理 · 物理学 2019-11-25 Frank Noé , Gianni De Fabritiis , Cecilia Clementi

We consider two types of Go models of a protein (crambin) and study their kinetics through molecular dynamics simulations. In the first model, the residue -- residue contact interactions are selected based on a cutoff distance, $R_c$,…

凝聚态物理 · 物理学 2009-11-07 Marek Cieplak , Trinh Xuan Hoang

We review some of our recent results obtained within the scope of simple lattice models and Monte Carlo simulations that illustrate the role of native geometry in the folding kinetics of two state folders.

生物大分子 · 定量生物学 2007-05-23 P. F. N. Faisca , M. M. Telo da Gama

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

We employ simulations of model proteins to study folding on rugged energy landscapes. We construct ``first-passage'' networks as the system transitions from unfolded to native states. The nodes and bonds in these networks correspond to…

软凝聚态物质 · 物理学 2015-05-13 Gregg Lois , J. Blawzdziewicz , Corey S. O'Hern

Folding properties of a two-dimensional toy protein model containing only two amino-acid types, hydrophobic and hydrophilic, respectively, are analyzed. An efficient Monte Carlo procedure is employed to ensure that the ground states are…

chem-ph · 物理学 2016-08-31 Anders Irbäck , Carsten Peterson , Frank Potthast

Protein-DNA interactions are vital for many processes in living cells, especially transcriptional regulation and DNA modification. To further our understanding of these important processes on the microscopic level, it is necessary that…

生物大分子 · 定量生物学 2007-05-23 Jason E Donald , William W Chen , Eugene I Shakhnovich

We present a computational study on the folding and aggregation of proteins in aqueous environment, as function of its concentration. We show how the increase of the concentration of individual protein species can induce a partial unfolding…

软凝聚态物质 · 物理学 2022-07-01 Valentino Bianco , Giancarlo Franzese , Ivan Coluzza

A theoretical model for the effect of water hydrogen bonding on the thermodynamics of hydrophobic hydration is proposed as a combination of the classical density functional theory with the recently developed probabilistic approach to water…

统计力学 · 物理学 2011-06-16 Yuri S. Djikaev

The respective roles of local and nonlocal interactions in the thermodynamic cooperativity of proteins are investigated using continuum (off-lattice) native-centric G\=o-like models with a coarse-grained C$_\alpha$ chain representation. We…

统计力学 · 物理学 2007-05-23 Michael Knott , Huseyin Kaya , Hue Sun Chan

We studied the possibility to approximate a Lennard Jones interaction by a pairwise contact potential. First we used a Lennard-Jones potential to design off-lattice, protein-like heteropolymer sequences, whose lowest energy (native)…

统计力学 · 物理学 2007-05-23 Cecilia Clementi , Michele Vendruscolo , Amos Maritan , Eytan Domany

Many protein systems fold in a two-state manner. Random models, however, rarely display two-state kinetics and thus such behavior should not be accepted as a default. To date, many theories for the prevalence of two-state kinetics have been…

生物物理 · 物理学 2015-06-15 Thomas J. Lane , Christian R. Schwantes , Kyle A. Beauchamp , Vijay S. Pande

A novel combination of discontinuous molecular dynamics and the Langevin equation, together with an intermediate-resolution model, are used to carry out long (several $\mu$s) simulation and study folding transition and transport of proteins…

软凝聚态物质 · 物理学 2011-11-09 Leili Javidpour , Muhammad Sahimi , M. Reza Rahimi Tabar
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