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相关论文: Testing a new Monte Carlo Algorithm for Protein Fo…

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A local equilibrium approach for the kinetics of a simplified protein folding model, whose equilibrium thermodynamics is exactly solvable, was developed in [M. Zamparo and A. Pelizzola, Phys. Rev. Lett. 97, 068106 (2006)]. Important…

统计力学 · 物理学 2007-05-23 Marco Zamparo , Alessandro Pelizzola

Long chains of the HP lattice protein model are studied by the Multi-Self-Overlap Ensemble(MSOE) Monte Carlo method, which was developed recently by the authors. MSOE successfully finds the lowest energy states reported before for sequences…

软凝聚态物质 · 物理学 2009-10-31 George Chikenji , Macoto Kikuchi , Yukito Iba

In this paper we show that a dynamical description of the protein folding process provides an effective representation of equilibrium properties and it allows for a direct investigation of the mechanisms ruling the approach towards the…

统计力学 · 物理学 2007-05-23 Alessandro Torcini , Roberto Livi , Antonio Politi

While recent work towards the development of tight-binding and ab-initio algorithms has focused on molecular dynamics, Monte Carlo methods can often lead to better results with relatively little effort. We present here a multi-step Monte…

统计力学 · 物理学 2009-10-31 Parthapratim Biswas , G. T. Barkema , Normand Mousseau , W. F. van der Weg

A computational method is developed to work on an inverse equilibrium problem with an interest towards applications with protein folding. In general, we are given a set of equilibrium confgiurations and want to derive the most probable…

生物物理 · 物理学 2007-05-23 John P. Donohue

Extensive Monte Carlo folding simulations for four proteins of various structural classes are carried out, using a single atomistic potential. In all cases, collapse occurs at a very early stage, and proteins fold into their native-like…

统计力学 · 物理学 2009-11-10 Seung-Yeon Kim , Julian Lee , Jooyoung Lee

We describe the results obtained from an improved model for protein folding. We find that a good agreement with the native structure of a 46 residue long, five-letter protein segment is obtained by carefully tuning the parameters of the…

生物大分子 · 定量生物学 2009-11-11 Andrea Nobile , Federico Rapuano

Using Monte Carlo dynamics and the Monte Carlo Histogram Method, the simple three-dimensional 27 monomer lattice copolymer is examined in depth. The thermodynamic properties of various sequences are examined contrasting the behavior of good…

chem-ph · 物理学 2009-10-28 Nicholas D. Socci , José Nelson Onuchic

We propose a general method for predicting potentially good folders from a given number of amino acid sequences. Our approach is based on the calculation of the rate of convergence of each amino acid chain towards the native structure using…

生物物理 · 物理学 2013-02-07 Dmitry K. Gridnev , Pedro Ojeda-May , Martin E. Garcia

We study the conformational properties of heteropolymers containing two types of monomers A and B, modeled as self-avoiding random walks on a regular lattice. Such a model can describe in particular the sequences of hydrophobic and…

无序系统与神经网络 · 物理学 2014-09-01 Viktoria Blavatska , Wolfhard Janke

Fragment-based assembly has been widely used in Ab initio protein folding simulation which can effectively reduce the conformational space and thus accelerate sampling. The efficiency of fragment-based movement as well as the quality of…

定量方法 · 定量生物学 2019-06-14 Tong Wang , Haipeng Gong , Eugene I. Shakhnovich

A reliable prediction of 3D protein structures from sequence data remains a big challenge due to both theoretical and computational difficulties. We have previously shown that our kinetostatic compliance method (KCM) implemented into the…

计算工程、金融与科学 · 计算机科学 2017-12-27 Pouya Tavousi , Morad Behandish , Horea T. Ilies , Kazem Kazerounian

Protein folding is one of the age-old biological problems that refers to the mechanism of understanding and predicting how a protein's linear sequence of amino acids folds into its specific three dimensional structure.This structure is…

We consider two- and three-dimensional lattice models of proteins which were characterized previously. We coarse grain their folding dynamics by reducing it to transitions between effective states. We consider two methods of selection of…

统计力学 · 物理学 2009-10-31 Marek Cieplak , Trinh Xuan Hoang

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 study the thermodynamics and kinetics of folding for a small peptide. Our data rely on Monte Carlo simulations where the interactions among all atoms are taken into account. Monte Carlo kinetics is used to study folding of the peptide at…

凝聚态物理 · 物理学 2009-11-07 Ulrich H. E. Hansmann , Jose N. Onuchic

We study the adsorption of flexible polymer macromolecules on a percolation cluster, formed by a regular two-dimensional disordered lattice at critical concentration p_c of attractive sites. The percolation cluster is characterized by a…

无序系统与神经网络 · 物理学 2012-03-16 Viktoria Blavatska , Wolfhard Janke

We demonstrate that the multicanonical approach is not restricted to Monte Carlo simulations, but can also be applied to simulation techniques such as molecular dynamics, Langevin, and hybrid Monte Carlo algorithms. The effectiveness of the…

化学物理 · 物理学 2007-05-23 Ulrich H. E. Hansmann , Yuko Okamoto , Frank Eisenmenger

We have performed parallel tempering Monte Carlo simulations using a simple continuum heteropolymer model for proteins. All ten heteropolymer sequences which we have studied have shown first-order transitions at low temperature to ordered…

软凝聚态物质 · 物理学 2010-01-05 J. E. Magee , J. Warwicker , L. Lue

A software library is presented for the polynomial expansion method (PEM) of the density of states (DOS) developed by two of the authors (N.F. and Y. M.). The library provides all necessary functions for the use of the PEM and its truncated…

强关联电子 · 物理学 2007-05-23 G. Alvarez , C. Sen , N. Furukawa , Y. Motome , E. Dagotto