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A polymer chain pinned in space exerts a fluctuating force on the pin point in thermal equilibrium. The average of such fluctuating force is well understood from statistical mechanics as an entropic force, but little is known about the…

统计力学 · 物理学 2015-07-22 James T. Waters , Harold D. Kim

We apply a recently developed model of cytoskeletal force generation to study a cell intrinsic contractility, as well as its response to external loading. The model is based on a non-equilibrium thermodynamic treatment of the…

亚细胞过程 · 定量生物学 2015-06-19 Mirko Maraldi , Clara Valero , Krishna Garikipati

Biofilament-motor protein complexes are ubiquitous in biology and drive the transport of cargo vital for many fundamental cellular processes. As they move, motor proteins exert compressive forces on the filaments to which they are attached,…

生物物理 · 物理学 2024-06-12 Bethany Clarke , Yongyun Hwang , Eric Keaveny

Single molecule mechanical unfolding experiments are beginning to provide profiles of the complex energy landscape of biomolecules. In order to obtain reliable estimates of the energy landscape characteristics it is necessary to combine the…

软凝聚态物质 · 物理学 2009-11-11 Changbong Hyeon , D. Thirumalai

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

The mechanical unfolding of an engineered protein composed of eight domains of Ig27 is investigated by using atomic force microscopy. Exploiting a fluctuation relation, the equilibrium free energy as a function of the molecule elongation is…

软凝聚态物质 · 物理学 2008-05-29 A. Imparato , F. Sbrana , M. Vassalli

Mechanical unfolding trajectories, generated by applying constant force in optical tweezer experiments, show that RNA hairpins and the P5abc subdomain of the group I intron unfold reversibly. We use coarse-grained Go-like models for RNA…

生物大分子 · 定量生物学 2009-11-11 Changbong Hyeon , D. Thirumalai

Mechanical stretching of six proteins is studied through molecular dynamics simulations. The model is Go-like, with Lennard-Jones interactions at native contacts. Low temperature unfolding scenarios are remarkably complex and sensitive to…

生物大分子 · 定量生物学 2009-11-10 Marek Cieplak , Trinh Xuan Hoang , Mark O. Robbins

Single-molecule mechanical manipulation has enabled the quantitative understanding of the kinetics of bond ruptures as well as protein unfolding mechanism. Single-molecule experiments with theoretical models have allowed one to gain insight…

生物物理 · 物理学 2010-05-10 Gwonchan Yoon , Sungsoo Na , Kilho Eom

We use Wang-Landau and replica exchange techniques to study the effect of an increasing stiffness on the formation of secondary structures in protein-like systems. Two possible models are considered. In both models, a polymer chain is…

软凝聚态物质 · 物理学 2016-09-21 Tatjana Skrbic , Trinh X. Hoang , Achille Giacometti

Single molecule force spectroscopy methods can be used to generate folding trajectories of biopolymers from arbitrary regions of the folding landscape. We illustrate the complexity of the folding kinetics and generic aspects of the collapse…

生物物理 · 物理学 2015-05-14 Changbong Hyeon , Greg Morrison , David L. Pincus , D. Thirumalai

To what extent do general features of folding/unfolding kinetics of small globular proteins follow from their thermodynamic properties? To address this question, we investigate a new simplifed protein chain model that embodies a cooperative…

软凝聚态物质 · 物理学 2007-05-23 Huseyin Kaya , Hue Sun Chan

We investigate the folding and forced-unbinding transitions of adsorbed semiflexible polymer chains using theory and simulations. These processes describe biologically relevant phenomena that include adhesive interactions between proteins…

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

In the current AFM experiments the distribution of unfolding times, P(t), is measured by applying a constant stretching force f_s from which the apparent unfolding rate is obtained. To describe the complexity of the underlying energy…

软凝聚态物质 · 物理学 2009-11-11 V. Barsegov , D. Klimov , D. Thirumalai

In this paper we report, clarify and broaden various recent efforts to complement the chemistry-centered models of force generation in muscles by mechanics-centered models. The physical mechanisms of interest can be grouped into two…

生物物理 · 物理学 2018-06-26 Matthieu Caruel , Lev Truskinovsky

We present a statistical mechanical study of stiff polymers, motivated by experiments on actin filaments and the considerable current interest in polymer networks. We obtain simple, approximate analytical forms for the force-extension…

软凝聚态物质 · 物理学 2009-11-13 Abhijit Ghosh , Joseph Samuel , Supurna Sinha

We explore how inherent flexibility of a protein molecule influences the mechanism controlling the kinetics of allosteric transitions using a variational model inspired from work in protein folding. The striking differences in the predicted…

定量方法 · 定量生物学 2009-11-13 Swarnendu Tripathi , John J. Portman

Cell adhesion complexes (CACs), which are activated by ligand binding, play key roles in many cellular functions ranging from cell cycle regulation to mediation of cell extracellular matrix adhesion. Inspired by single molecule pulling…

生物大分子 · 定量生物学 2018-04-04 Ngo Min Toan , D. Thirumalai

By monitoring multiple molecular transitions, force-clamp and trap-position-clamp methods have led to precise determinations of the free energies and free energy landscapes for molecular states populated in equilibrium at the same or…

生物大分子 · 定量生物学 2015-06-15 A. H. Mack , D. J. Schlingman , M. Kamenetska , Robert Collins , L. Regan , S. G. J. Mochrie

When described by a low-dimensional reaction coordinate, the rates of protein folding are determined by a subtle interplay between free-energy barriers and friction. While it is commonplace to extract free-energy profiles from molecular…

软凝聚态物质 · 物理学 2022-10-24 Benjamin A. Dalton , Cihan Ayaz , Lucas Tepper , Roland R. Netz