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相关论文: Model for Folding and Aggregation in RNA Secondary…

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RNA function is intimately related to its structural dynamics. Molecular dynamics simulations are useful for exploring biomolecular flexibility but are severely limited by the accessible timescale. Enhanced sampling methods allow this…

生物大分子 · 定量生物学 2018-02-06 Vojtěch Mlýnský , Giovanni Bussi

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 stochastic Eden model of charged particles aggregation in two-dimensional systems is presented. This model is governed by two parameters: screening length of electrostatic interaction, $\lambda $, and short range attraction energy, $E$.…

统计力学 · 物理学 2009-10-31 Y. V. Ivanenko , N. I. Lebovka , N. V. Vygornitskii

RNA secondary structure prediction is widely used to understand RNA function. Recently, there has been a shift away from the classical minimum free energy (MFE) methods to partition function-based methods that account for folding ensembles…

生物大分子 · 定量生物学 2024-02-08 He Zhang , Liang Zhang , David H. Mathews , Liang Huang

We study active run-and-tumble particles with an additional two-state internal variable characterizing their motile or non-motile state. Motile particles change irreversibly into non-motile ones upon collision with a non-motile particle.…

软凝聚态物质 · 物理学 2018-11-27 Matteo Paoluzzi , Marco Leoni , M Cristina Marchetti

Ions interacting with hydrated RNA play a central role in defining its secondary and tertiary structure. While spatial arrangements of ions, water molecules, and phosphate groups have been inferred from X-ray studies, the role of…

化学物理 · 物理学 2021-08-26 Jakob Schauss , Achintya Kundu , Benjamin P. Fingerhut , Thomas Elsaesser

The formation of fibrillar aggregates seems to be a common characteristic of polypeptide chains, although the observation of these aggregates may depend on appropriate experimental conditions. Partially folded intermediates seem to have an…

生物物理 · 物理学 2013-01-16 Rafael B. Frigori , Leandro G. Rizzi , Nelson A. Alves

The rheology of cohesive granular materials, under a constant pressure condition, is studied using molecular dynamics simulations. Depending on the shear rate, pressure, and interparticle cohesiveness, the system exhibits four distinctive…

软凝聚态物质 · 物理学 2018-09-26 Yuta Yamaguchi , Satoshi Takada , Takahiro Hatano

Simple expressions for the bending and the base-stacking energy of double-stranded semiflexible biopolymers (such as DNA and actin) are derived. The distribution of the folding angle between the two strands is obtained by solving a…

软凝聚态物质 · 物理学 2009-10-31 Zhou Haijun , Ou-Yang Zhong-can

Many small organisms such as bacteria can attract each other by depositing chemical attractants. At the same time, they exert repulsive force on each other when crowded, which can be modeled by effective pressure as an increasing function…

统计力学 · 物理学 2019-09-04 Gyu Ho Bae , Seung Ki Baek

Simulated nucleotide sequences are widely used in theoretical and empirical molecular evolution studies. Conventional simulators generally use fixed parameter time-homogeneous Markov model for sequence evolution. In this work, we use the…

种群与进化 · 定量生物学 2009-12-14 Sheng Guo , Li-San Wang , Junhyong Kim

We consider the folding of a self-avoiding homopolymer on a lattice, with saturating hydrogen bond interactions. Our goal is to numerically evaluate the statistical distribution of the topological genus of pseudoknotted configurations. The…

生物大分子 · 定量生物学 2009-11-11 G. Vernizzi , P. Ribeca , H. Orland , A. Zee

The prevalent method for RNA secondary structure prediction for a single sequence is free energy minimization based on the nearest neighbor thermodynamic model (NNTM). One of the least well-developed parts of the model is the energy…

生物大分子 · 定量生物学 2017-08-21 Fidel Barrera-Cruz , Christine Heitsch , Svetlana Poznanović

Two-state cooperativity is an important characteristic in protein folding. It is defined by a depletion of states lying energetically between folded and unfolded conformations. While there are different ways to test for two-state…

生物大分子 · 定量生物学 2015-05-28 Tristan Bereau , Markus Deserno , Michael Bachmann

We propose a new toy model of a heteropolymer chain capable of forming planar secondary structures typical for RNA molecules. In this model the sequential intervals between neighboring monomers along a chain are considered as quenched…

软凝聚态物质 · 物理学 2014-01-07 S. K. Nechaev , A. N. Sobolevski , O. V. Valba

Nanoparticles introduced in living cells are capable of strongly promoting the aggregation of peptides and proteins. We use here molecular dynamics simulations to characterise in detail the process by which nanoparticle surfaces catalyse…

生物大分子 · 定量生物学 2010-06-08 Stefan Auer , Antonio Trovato , Michele Vendruscolo

Cell cortex contraction is essential for shaping cells, enabling movement, ensuring proper division, maintaining tissue integrity, guiding development, and responding to mechanical signals - all critical for the life and health of…

We propose a lattice model for RNA based on a self-interacting two-tolerant trail. Self-avoidance and elements of tertiary structure are taken into account. We investigate a simple version of the model in which the native state of RNA…

软凝聚态物质 · 物理学 2009-11-10 P. Leoni , C. Vanderzande

We study real space condensation in aggregation-fragmentation models where the total mass is not conserved, as in phenomena like cloud formation and intracellular trafficking. We study the scaling properties of the system with influx and…

统计力学 · 物理学 2015-06-15 Himani Sachdeva , Mustansir Barma , Madan Rao

The formation and proliferation of protein aggregates play a central role in a number of devastating neuro-degenerative diseases. Many experimental studies indicate that the ability of existing aggregates to replicate is a key property in…

生物物理 · 物理学 2020-08-25 Georg Meisl , Alexander J Dear , Thomas CT Michaels , Tuomas PJ Knowles