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相关论文: Unfolding kinetics of periodic DNA hairpins

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We investigate the thermodynamics and kinetics of DNA hairpins that fold/unfold under the action of applied mechanical force. We introduce the concept of the molecular free energy landscape and derive simplified expressions for the force…

统计力学 · 物理学 2009-09-30 Alessandro Mossa , Maria Manosas , Nuria Forns , Josep Maria Huguet , Felix Ritort

The energy landscapes of proteins have evolved to be different from most random heteropolymers. Many studies have concluded that evolutionary selection for rapid and reliable folding to a given structure that is stable at biological…

无序系统与神经网络 · 物理学 2009-11-10 Steven S. Plotkin , Peter G. Wolynes

We investigate irreversibility and dissipation in single molecules that cooperatively fold/unfold in a two state manner under the action of mechanical force. We apply path thermodynamics to derive analytical expressions for the average…

统计力学 · 物理学 2009-02-25 Maria Manosas , Alessandro Mossa , Nuria Forns , Josep Maria Huguet , Felix Ritort

This chapter will provide an overview of how characterizing free-energy landscapes can provide insights into the biophysical properties of DNA, as well as into the behaviour of the DNA assemblies used in the field of DNA nanotechnology. The…

We establish a framework for assessing whether the transition state location of a biopolymer, which can be inferred from single molecule pulling experiments, corresponds to the ensemble of structures that have equal probability of reaching…

软凝聚态物质 · 物理学 2015-05-27 Greg Morrison , Changbong Hyeon , Michael Hinczewski , D. Thirumalai

The thermodynamic properties of DNA circular molecules are investigated by a new path integral computational method which treats in the real space the fundamental forces stabilizing the molecule. The base pair and stacking contributions to…

软凝聚态物质 · 物理学 2014-11-11 Marco Zoli

Natural protein sequences contain a record of their history. A common constraint in a given protein family is the ability to fold to specific structures, and it has been shown possible to infer the main native ensemble by analyzing…

生物大分子 · 定量生物学 2017-03-16 Rocío Espada , R. Gonzalo Parra , Thierry Mora , Aleksandra M. Walczak , Diego U. Ferreiro

A geometric analysis of the global properties of the energy landscape of a minimalistic model of a polypeptide is presented, which is based on the relation between dynamical trajectories and geodesics of a suitable manifold, whose metric is…

统计力学 · 物理学 2009-11-13 Lorenzo N. Mazzoni , Lapo Casetti

Most single-molecule studies derive the kinetic rates of native, intermediate, and unfolded states from equilibrium hopping experiments. Here, we apply Kramers kinetic diffusive model to derive the force-dependent kinetic rates of…

软凝聚态物质 · 物理学 2022-04-13 Marc Rico-Pasto , Anna Alemany , Felix Ritort

Biological forces govern essential cellular and molecular processes in all living organisms. Many cellular forces, e.g. those generated in cyclic conformational changes of biological machines, have repetitive components. However, little is…

生物大分子 · 定量生物学 2008-09-17 P. Szymczak , Harald Janovjak

We present Molecular Dynamics simulations of a single stranded unprotonated DNA i-motif in explicit solvent. Our results indicate that the native structure in non-acidic solution at 300 K is unstable and completely vanishes on a time scale…

生物物理 · 物理学 2011-05-20 Jens Smiatek , Chun Chen , Dongsheng Liu , Andreas Heuer

Conventionally defined free-energy landscape (FEL) exhibits unphysical dependence on the choice of reaction coordinates and hence lacks universal predictive ability. We here show that three physically plausible requirements uniquely…

统计力学 · 物理学 2024-03-01 Takenobu Nakamura

We study the free energy landscape of the small peptide Met-enkephalin. Our data were obtained from a generalized-ensemble Monte Carlo simulation taking the interactions among all atoms into account. We show that the free energy landscape…

凝聚态物理 · 物理学 2007-05-23 U. H. E. Hansmann , Y. Okamoto , J. Onuchic

Mechanical unfolding of polyproteins by force spectroscopy provides valuable insight into their free energy landscapes. Most phenomenological models of the unfolding process are two-state and/or one dimensional, with the details of the…

生物物理 · 物理学 2015-06-26 Daniel K. West , Emanuele Paci , Peter D. Olmsted

Proteins populate a manifold in the high-dimensional sequence space whose geometrical structure guides their natural evolution. Leveraging recently-developed structure prediction tools based on transformer models, we first examine the…

生物大分子 · 定量生物学 2023-11-13 A. Zambon , R. Zecchina , G. Tiana

A theoretical framework is developed to study the dynamics of protein folding. The key insight is that the search for the native protein conformation is influenced by the rate r at which external parameters, such as temperature, chemical…

生物大分子 · 定量生物学 2009-11-13 Gregg Lois , Jerzy Blawzdziewicz , Corey S. O'Hern

Nanochannels provide means for detailed experiments on the effect of confinement on biomacromolecules, such as DNA. We here introduce a model for the complete unfolding of DNA from the circular to linear configuration. Two main ingredients…

A common metaphor for describing development is a rugged "epigenetic landscape" where cell fates are represented as attracting valleys resulting from a complex regulatory network. Here, we introduce a framework for explicitly constructing…

分子网络 · 定量生物学 2014-09-11 Alex H. Lang , Hu Li , James J. Collins , Pankaj Mehta

In this article the configurational space of two simple protein models consisting of polymers composed of a periodic sequence of four different kinds of monomers is studied as a function of temperature. In the protein models, hydrogen bond…

软凝聚态物质 · 物理学 2012-03-26 Hanif Bayat Movahed , Ramses van Zon , Jeremy Schofield

The understanding, and even the description of protein folding is impeded by the complexity of the process. Much of this complexity can be described and understood by taking a statistical approach to the energetics of protein conformation,…

chem-ph · 物理学 2008-02-03 J. D. Bryngelson , J. N. Onuchic , N. D. Socci , P. G. Wolynes
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