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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

The principles underlying protein folding remains one of Nature's puzzles with important practical consequences for Life. An approach that has gathered momentum since the late 1990's, looks at protein hetero-polymers and their folding…

计算工程、金融与科学 · 计算机科学 2011-10-05 Susan Khor

The protein folding problem has attracted an increasing attention from physicists. The problem has a flavor of statistical mechanics, but possesses the most common feature of most biological problems -- the profound effects of evolution. I…

统计力学 · 物理学 2009-10-31 Chao Tang

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 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

For the vast majority of naturally occurring, small, single domain proteins folding is often described as a two-state process that lacks detectable intermediates. This observation has often been rationalized on the basis of a nucleation…

生物大分子 · 定量生物学 2007-07-09 R. D. M. Travasso , P. F. N. Faisca , M. M. Telo da Gama

We seek to understand the interplay between amino acid sequence and local structure in proteins. Are some amino acids unique in their ability to fit harmoniously into certain local structures? What is the role of sequence in sculpting the…

生物大分子 · 定量生物学 2021-01-29 Tatjana Škrbić , Amos Maritan , Achille Giacometti , Jayanth R. Banavar

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

Though the problem of sequence-reversed protein folding is largely unexplored, one might speculate that reversed native protein sequences should be significantly more foldable than purely random heteropolymer sequences. In this article, we…

生物大分子 · 定量生物学 2016-06-20 Yuanzhao Zhang , Jeffrey K Weber , Ruhong Zhou

Stochastic simulations of coarse-grained protein models are used to investigate the propensity to form knots in early stages of protein folding. The study is carried out comparatively for two homologous carbamoyltransferases, a…

生物大分子 · 定量生物学 2015-06-04 T. Skrbic , C. Micheletti , P. Faccioli

We propose a model that explains the hierarchical organization of proteins in fold families. The model, which is based on the evolutionary selection of proteins by their native state stability, reproduces patterns of amino acids conserved…

统计力学 · 物理学 2007-05-23 Nikolay V. Dokholyan , Eugene I. Shakhnovich

We investigate the folding behavior of protein sequences by numerically studying all sequences with maximally compact lattice model through exhaustive enumeration. We get the prion-like behavior of protein folding. Individual proteins…

生物大分子 · 定量生物学 2014-11-18 Yong-Yun Ji , You-Quan Li , Jun-Wen Mao , Xiao-Wei Tang

Proteins are minimally frustrated polymers. However, for realistic protein models non-native interactions must be taken into account. In this paper we analyze the effect of non-native interactions on the folding rate and on the folding free…

生物大分子 · 定量生物学 2007-05-23 C. Clementi , S. S. Plotkin

One of the most puzzling and unsolved challenges in molecular biology is understanding how proteins fold. Despite having advanced predictive tools that can accurately estimate the native structures of proteins, we still lack a comprehensive…

生物大分子 · 定量生物学 2026-01-13 Jorge Vila

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 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

Many native structures of proteins accomodate complex topological motifs such as knots, lassos, and other geometrical entanglements. How proteins can fold quickly even in the presence of such topological obstacles is a debated question in…

软凝聚态物质 · 物理学 2020-10-07 Federico Norbiato , Flavio Seno , Antonio Trovato , Marco Baiesi

Predicting three dimensional residue-residue contacts from evolutionary information in protein sequences was attempted already in the early 1990s. However, contact prediction accuracies of methods evaluated in CASP experiments before CASP11…

生物大分子 · 定量生物学 2018-10-16 Sanzo Miyazawa

We carry out a theoretical study of the vibrational and relaxation properties of naturally-occurring proteins with the purpose of characterizing both the folding and equilibrium thermodynamics. By means of a suitable model we provide a full…

统计力学 · 物理学 2007-05-23 Cristian Micheletti , Gianluca Lattanzi , Amos Maritan

Lattice-model simulations and experiments of some small proteins suggest that folding is essentially controlled by a few conserved contacts. Residues of these conserved contacts form the minimum set of native contacts needed to ensure…

生物大分子 · 定量生物学 2011-09-14 Wei-Mou Zheng , Hui Zeng , Dong-Bo Bu , Ming-Fu Shao , Ke-Song Liu , Chao Wang