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相关论文: Cooperativity of Protein Folding and the Random-Fi…

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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

Protein folding cooperativity is defined by the nature of the finite-size thermodynamic transition exhibited upon folding: two-state transitions show a free energy barrier between the folded and unfolded ensembles, while downhill folding is…

生物大分子 · 定量生物学 2017-08-23 Tristan Bereau , Michael Bachmann , Markus Deserno

We propose a protein model based on a hierarchy of constraints that force the protein to follow certain pathways when changing conformation. The model exhibits a first order phase transition, cooperativity and is exactly solvable. It also…

凝聚态物理 · 物理学 2015-06-25 Alex Hansen , Mogens H. Jensen , Kim Sneppen , Giovanni Zocchi

We present two simplified models of protein dynamics based on Langevin's equation of motion in a viscous medium. We explore the effect of the potential energy function's symmetry on the kinetics and thermodynamics of simulated folding. We…

统计力学 · 物理学 2009-10-28 Gabriel F. Berriz , Alexander M. Gutin , Eugene I. Shakhnovich

By observing trends in the folding kinetics of experimental 2-state proteins at their transition midpoints, and by observing trends in the barrier heights of numerous simulations of coarse grained, C-alpha model, Go proteins, we show that…

定量方法 · 定量生物学 2009-11-10 B. Öztop , M. R. Ejtehadi , S. S. Plotkin

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

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

Perturbing a Go model towards a realistic protein Hamiltonian by adding non-native interactions, we find that the folding rate is in general enhanced as ruggedness is initially increased, as long as the protein is sufficiently large and…

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

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

Protein sequences serve as a natural record of the evolutionary constraints that shape their functional structures. We show that it is possible to use only sequence information to go beyond predicting native structures and global stability…

生物大分子 · 定量生物学 2025-07-02 Ezequiel A. Galpern , Ernesto A. Roman , Diego U. Ferreiro

Physical mechanisms underlying the empirical correlation between relative contact order (CO) and folding rate among naturally-occurring small single-domain proteins are investigated by evaluating postulated interaction schemes for a set of…

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

Repeat proteins are made with tandem copies of similar amino acid stretches that fold into elongated architectures. Due to their symmetry, these proteins constitute excellent model systems to investigate how evolution relates to structure,…

生物大分子 · 定量生物学 2022-10-12 Ezequiel A. Galpern , Jacopo Marchi , Thierry Mora , Aleksandra M. Walczak , Diego U. Ferreiro

A statistical model of protein families, called profile conditional random fields (CRFs), is proposed. This model may be regarded as an integration of the profile hidden Markov model (HMM) and the Finkelstein-Reva (FR) theory of protein…

生物大分子 · 定量生物学 2009-06-01 Akira R. Kinjo

Natural proteins fold to a unique, thermodynamically dominant state. Modeling of the folding process and prediction of the native fold of proteins are two major unsolved problems in biophysics. Here, we show successful all-atom ab initio…

生物大分子 · 定量生物学 2007-05-23 Jae Shick Yang , William W. Chen , Jeffrey Skolnick , Eugene I. Shakhnovich

The folding of naturally occurring, single domain proteins is usually well-described as a simple, single exponential process lacking significant trapped states. Here we further explore the hypothesis that the smooth energy landscape this…

生物大分子 · 定量生物学 2007-05-23 P. F. N. Faisca , K. W. Plaxco

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

Mechanically induced folding of passive cross-linkers is a fundamental biological phenomenon. A typical example is a conformational change in myosin II responsible for the power-stroke in skeletal muscles. In this paper we present an…

生物物理 · 物理学 2017-09-14 Matthieu Caruel , Jean-Marc Allain , Lev Truskinovsky

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

We consider equilibrium folding transitions in lattice protein models with and without side chains. A dimensionless measure, $Omega_{c}$, is introduced to quantitatively assess the degree of cooperativity in lattice models and in real…

软凝聚态物质 · 物理学 2007-05-23 D. K. Klimov , D. Thirumalai

Folding and aggregation of proteins, the interaction between proteins and membranes, as well as the adsorption of organic soft matter to inorganic solid substrates belong to the most interesting challenges in understanding structure and…

软凝聚态物质 · 物理学 2007-12-06 Michael Bachmann , Wolfhard Janke
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