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相关论文: Folding Lennard-Jones proteins by a contact potent…

200 篇论文

We present the results of a self-consistent, unified molecular dynamics study of simple model heteropolymers in the continuum with emphasis on folding, sequence design and the determination of the interaction parameters of the effective…

统计力学 · 物理学 2009-10-31 Cecilia Clementi , Amos Maritan , Jayanth R. Banavar

The folding pathway and rate coefficients of the folding of a knotted protein are calculated for a potential energy function with minimal energetic frustration. A kinetic transition network is constructed using the discrete path sampling…

生物大分子 · 定量生物学 2010-07-05 Michael C. Prentiss , David J. Wales , Peter G. Wolynes

The possibility of deriving the contact potentials between amino acids from their frequencies of occurence in proteins is discussed in evolutionary terms. This approach allows the use of traditional thermodynamics to describe such…

生物大分子 · 定量生物学 2009-11-10 G. Tiana , M. Colombo , D. Provasi , R. A. Broglia

In this paper we introduce a novel method of deriving a pairwise potential for protein folding. The potential is obtained by optimization procedure, which simultaneously maximizes the energy gap for {\it all} proteins in the database. To…

凝聚态物理 · 物理学 2007-05-23 L. A. Mirny , E. I. Shakhnovich

We develop a Genetic Programming-based methodology that enables discovery of novel functional forms for classical inter-atomic force-fields, used in molecular dynamics simulations. Unlike previous efforts in the field, that fit only the…

神经与进化计算 · 计算机科学 2007-05-23 A. Slepoy , A. P. Thompson , M. D. Peters

Protein sequences are believed to have been selected to provide the stability of, and reliable renaturation to, an encoded unique spatial fold. In recently proposed theoretical schemes, this selection is modeled as ``minimal frustration,''…

凝聚态物理 · 物理学 2009-10-28 Vijay S. Pande , Alexander Yu. Grosberg , Toyoichi Tanaka

We analytically derive the lower bound of the total conformational energy of a protein structure by assuming that the total conformational energy is well approximated by the sum of sequence-dependent pairwise contact energies. The condition…

生物大分子 · 定量生物学 2008-01-03 Akira R. Kinjo , Sanzo Miyazawa

The optimal conversion of a continuous inter-particle potential to a discrete equivalent is considered here. Existing and novel algorithms are evaluated to determine the best technique for creating accurate discrete forms using the minimum…

软凝聚态物质 · 物理学 2014-02-13 Chris Thomson , Leo Lue , Marcus N. Bannerman

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 new general algorithm for optimization of potential functions for protein folding is introduced. It is based upon gradient optimization of the thermodynamic stability of native folds of a training set of proteins with known structure. The…

凝聚态物理 · 物理学 2009-11-10 Ole Winther , Anders Krogh

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

While all the information required for the folding of a protein is contained in its amino acid sequence, one has not yet learned how to extract this information to predict the three--dimensional, biologically active, native conformation of…

生物大分子 · 定量生物学 2009-11-10 R. A. Broglia , G. Tiana

Making use of a simplified model for protein folding, it can be shown that conformations which are particularly stable when their energy is minimized with respect to amino acid sequence (in the sense that they display a large energy gap to…

软凝聚态物质 · 物理学 2007-05-23 R. A. Broglia , G. Tiana , H. E. Roman

We present an efficient algorithm to recover the three dimensional structure of a protein from its contact map representation. First we show that when a physically realizable map is used as target, our method generates a structure whose…

软凝聚态物质 · 物理学 2008-02-03 Michele Vendruscolo , Edo Kussell , Eytan Domany

A coarse-grained off-lattice model that is not biased in any way to the native state is proposed to fold proteins. To predict the native structure in a reasonable time, the model has included the essential effects of water in an effective…

统计力学 · 物理学 2009-11-11 Nan-yow Chen , Zheng-Yao Su , Chung-Yu Mou

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

The Lennard-Jones (LJ) Potential Energy Problem is to construct the most stable form of $N$ atoms of a molecule with the minimal LJ potential energy. This problem has a simple mathematical form $f(x) = 4\sum_{i=1}^N \sum_{j=1,j<i}^N…

计算物理 · 物理学 2011-01-04 Jiapu Zhang

The time evolution of the formation probability of native bonds has been studied for designed sequences which fold fast into the native conformation. From this analysis a clear hierarchy of bonds emerge a) local, fast forming highly stable…

凝聚态物理 · 物理学 2009-10-31 G. Tiana , R. A. Broglia

Very recently the Wood-Saxon (WS) type interaction in the single-folding potential approach are constructed to simulate the $ \phi{\text -}\alpha $ potentials. One set of the $ \phi{\text -}\alpha $ potentials are based on the first…

核理论 · 物理学 2025-06-03 Faisal Etminan

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