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相关论文: Stretching of proteins in a uniform flow

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We consider the dynamics of a bio-filament under the collective drive of motor proteins. They are attached irreversibly to a substrate and undergo stochastic attachment-detachment with the filament to produce a directed force on it. We…

软凝聚态物质 · 物理学 2023-05-12 Chitrak Karan , Debasish Chaudhuri

We consider multi-chain protein native structures and propose a criterion that determines whether two chains in the system are entangled or not. The criterion is based on the behavior observed by pulling at both temini of each chain…

生物大分子 · 定量生物学 2017-07-19 Yani Zhao , Mateusz Chwastyk , Marek Cieplak

We incorporate hydrodynamic interactions in a structure-based model of ubiquitin and demonstrate that the hydrodynamic coupling may reduce the peak force when stretching the protein at constant speed, especially at larger speeds.…

生物大分子 · 定量生物学 2015-05-13 P. Szymczak , Marek Cieplak

We develop a theoretical approach to the protein folding problem based on out-of-equilibrium stochastic dynamics. Within this framework, the computational difficulties related to the existence of large time scale gaps in the protein folding…

定量方法 · 定量生物学 2009-11-13 M. Sega , P. Faccioli , F. Pederiva , G. Garberoglio , H. Orland

A new theoretical survey of proteins' resistance to constant speed stretching is performed for a set of 17 134 proteins as described by a structure-based model. The proteins selected have no gaps in their structure determination and consist…

生物大分子 · 定量生物学 2009-11-04 Mateusz Sikora , Joanna I. Sułkowska , Marek Cieplak

Deviations from linearity in the dependence of the logarithm of protein unfolding rates, $\log k_u(f)$, as a function of mechanical force, $f$, measurable in single molecule experiments, can arise for many reasons. In particular, upward…

软凝聚态物质 · 物理学 2020-12-22 Pavel I. Zhuravlev , Michael Hinczewski , D. Thirumalai

The biological functions of proteins often depend on dynamic structural ensembles. In this work, we develop a flow-based generative modeling approach for learning and sampling the conformational landscapes of proteins. We repurpose highly…

生物大分子 · 定量生物学 2024-09-04 Bowen Jing , Bonnie Berger , Tommi Jaakkola

The growing interest for comparing protein internal dynamics owes much to the realization that protein function can be accompanied or assisted by structural fluctuations and conformational changes. Analogously to the case of functional…

生物大分子 · 定量生物学 2012-12-19 C. Micheletti

The escape process from the native valley for proteins subjected to a constant stretching force is examined using a model for a Beta-barrel. For a wide range of forces, the unfolding dynamics can be treated as one-dimensional diffusion,…

We model protein folding as a physical stochastic process as follows. The unfolded protein chain is treated as a random coil described by SAW (self-avoiding walk). Folding is induced by hydrophobic forces and other interactions, such as…

软凝聚态物质 · 物理学 2007-07-18 Kerson Huang

We study the conformations of polymer chains in a poor solvent, with and without bending rigidity, by means of a simple statistical mechanics model. This model can be exactly solved for chains of length up to N=55 using exact enumeration…

统计力学 · 物理学 2007-11-26 Anthony J. Guttmann , Jesper L. Jacobsen , Iwan Jensen , Sanjay Kumar

Functional proteins must fold with some minimal stability to a structure that can perform a biochemical task. Here we use a simple model to investigate the relationship between the stability requirement and the capacity of a protein to…

生物大分子 · 定量生物学 2009-11-10 Jesse D Bloom , Claus O Wilke , Frances H Arnold , Christoph Adami

A statistical mechanical description of flexible and semi-flexible polymer chains in a poor solvent is developed in the constant force and constant distance ensembles. We predict the existence of many intermediate states at low temperatures…

软凝聚态物质 · 物理学 2007-05-23 Sanjay Kumar , Iwan Jensen , Jesper L. Jacobsen , Anthony J. Guttmann

Theoretical studies of stretching proteins with slipknots reveal a surprising growth of their unfolding times when the stretching force crosses an intermediate threshold. This behavior arises as a consequence of the existence of alternative…

生物大分子 · 定量生物学 2010-01-05 Joanna I. Sułkowska , Piotr Sułkowski , José N. Onuchic

We present force-clamp data on the collapse of ubiquitin polyproteins in response to a quench in the force. These nonequilibrium trajectories are analyzed using a general method based on a diffusive assumption of the end-to-end length to…

生物物理 · 物理学 2017-08-23 Herbert Lannon , Eric Vanden-Eijnden , Jasna Brujic

The behavior of proteins near interfaces is relevant for biological and medical purposes. Previous results in bulk show that, when the protein concentration increases, the proteins unfold and, at higher concentrations, aggregate. Here, we…

软凝聚态物质 · 物理学 2021-01-19 David March , Valentino Bianco , Giancarlo Franzese

Using a structure-based coarse-grained model of proteins, we study the mechanism of unfolding of knotted proteins through heating. We find that the dominant mechanisms of unfolding depend on the temperature applied and are generally…

生物大分子 · 定量生物学 2017-01-23 Yani Zhao , Mateusz Chwastyk , Marek Cieplak

We study the conformation and dynamics of a single polymer chain that is pulled by a constant force applied at its one end with the other end free. Such a situation is relevant to the growing technology of manipulating individual…

软凝聚态物质 · 物理学 2015-06-04 Takahiro Sakaue , Takuya Saito , Hirofumi Wada

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

Effect of molecular crowding and confinement experienced by protein in the cell during unfolding has been studied by modeling a linear polymer chain on a percolation cluster. It is known that internal structure of the cell changes in time,…

软凝聚态物质 · 物理学 2015-05-14 Amit Raj Singh , Debaprasad Giri , Sanjay Kumar