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相关论文: Effective potentials for Folding Proteins

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A reduced model, which can fold both helix and sheet structures, is proposed to study the problem of protein folding. The goal of this model is to find an unbiased effective potential that has included the effects of water and at the same…

软凝聚态物质 · 物理学 2007-05-23 Nan-yow Chen

The thermodynamic behavior of a three-dimensional off-lattice model for protein folding is probed. The model has only two types of residues, hydrophobic and hydrophilic. In absence of local interactions, native structure formation does not…

化学物理 · 物理学 2009-10-30 Anders Irbäck , Carsten Peterson , Frank Potthast , Ola Sommelius

The aqueous solvent profoundly influences protein folding, yet its effects are relatively poorly understood. In this study, we investigate the impact of solvation on the folding of lattice proteins by using Monte Carlo simulations. The…

软凝聚态物质 · 物理学 2025-04-01 Nhung T. T. Nguyen , Pham Nam Phong , Duy Manh Le , Minh-Tien Tran , Trinh Xuan Hoang

We recently introduced a physical model [Hoang et al., P. Natl. Acad. Sci. USA (2004), Banavar et al., Phys. Rev. E (2004)] for proteins which incorporates, in an approximate manner, several key features such as the inherent anisotropy of a…

生物大分子 · 定量生物学 2007-05-23 Trinh X. Hoang , Antonio Trovato , Flavio Seno , Jayanth R. Banavar , Amos Maritan

A protein model with the pairwise interaction energies varying as local environment changes, i.e., including some kinds of collective effect between the contacts, is proposed. Lattice Monte Carlo simulations on the thermodynamical…

软凝聚态物质 · 物理学 2009-11-07 K. Fan , J. Wang , W. Wang

We construct a Hamiltonian for a single domain protein where the contact enthalpy and the chain entropy decrease linearly with the number of native contacts. The hydration effect upon protein unfolding is included by modeling water as ideal…

凝聚态物理 · 物理学 2009-11-07 Audun Bakk , Johan S. Hoye , Alex Hansen

Model off-lattice sequences in two dimensions are constructed so that their native states are close to an on-lattice target. The Hamiltonian involves the Lennard-Jones and harmonic interactions. The native states of these sequences are…

软凝聚态物质 · 物理学 2009-10-31 Mai Suan Li , Marek Cieplak

Predicting the three-dimensional (3D) functional structures of proteins remains an important computational milestone in molecular biology to be achieved. This feat is hinged on a clear understanding of the mechanism which proteins use to…

生物大分子 · 定量生物学 2019-11-28 Samuel Nkrumah

Models of protein energetics which neglect interactions between amino acids that are not adjacent in the native state, such as the Go model, encode or underlie many influential ideas on protein folding. Implicit in this simplification is a…

生物大分子 · 定量生物学 2009-10-08 Brian C. Gin , Juan P. Garrahan , Phillip L. Geissler

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

These lectures will address two questions. Is there a simple variational principle underlying the existence of secondary motifs in the native state of proteins? Is there a general approach which can qualitatively capture the salient…

统计力学 · 物理学 2007-05-23 Jay Banavar , Amos Maritan , Cristian Micheletti , Flavio Seno

The prediction of the three-dimensional structures of the native state of proteins from the sequences of their amino acids is one of the most important challenges in molecular biology. An essential ingredient to solve this problem within…

统计力学 · 物理学 2007-05-23 Cristian Micheletti , Flavio Seno , Jayanth Banavar , Amos Maritan

We derive an expression with four adjustable parameters that reproduces well the 20x20 Miyazawa-Jernigan potential matrix extracted from known protein structures. The numerical values of the parameters can be approximately computed from the…

凝聚态物理 · 物理学 2009-10-31 Z. H. Wang , H. C. Lee

We present and discuss a novel approach to the direct and inverse protein folding problem. The proposed strategy is based on a variational approach that allows the simultaneous extraction of amino acid interactions and the low-temperature…

统计力学 · 物理学 2009-10-31 Flavio Seno , Cristian Micheletti , Amos Maritan , Jayanth R. Banavar

We use a free energy functional theory to elucidate general properties of heterogeneously ordering, fast folding proteins, and we test our conclusions with lattice simulations. We find that both structural and energetic heterogeneity can…

无序系统与神经网络 · 物理学 2009-10-31 Steven S. Plotkin , Jose N. Onuchic

A general theoretical framework is developed using free energy functional methods to understand the effects of heterogeneity in the folding of a well-designed protein. Native energetic heterogeneity arising from non-uniformity in native…

无序系统与神经网络 · 物理学 2007-05-23 Steven S. Plotkin , Jose N. Onuchic

Within the frame of an effective, coarse-grained hydrophobic-polar protein model, we employ multicanonical Monte Carlo simulations to investigate free-energy landscapes and folding channels of exemplified heteropolymer sequences, which are…

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

We present a simple model of protein folding dynamics that captures key qualitative elements recently seen in all-atom simulations. The goals of this theory are to serve as a simple formalism for gaining deeper insight into the physical…

生物物理 · 物理学 2015-05-19 Vijay S. Pande

We present a solvable model that predicts the folding kinetics of two-state proteins from their native structures. The model is based on conditional chain entropies. It assumes that folding processes are dominated by small-loop closure…

生物大分子 · 定量生物学 2007-05-23 Thomas R. Weikl , Matteo Palassini , Ken A. Dill

Using the Helmholtz decomposition of the vector field of folding fluxes in a two-dimensional space of collective variables, a potential of the driving force for protein folding is introduced. The potential has two components. One component…

生物物理 · 物理学 2013-10-15 Sergei F. Chekmarev
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