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相关论文: Force Dependence of Proteins' Transition State Pos…

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In recent years single molecule force spectroscopy has opened a new avenue to provide profiles of the complex energy landscape of biomolecules. In this field, quantitative analyses of the data employing sound theoretical models, have played…

生物大分子 · 定量生物学 2015-01-15 Changbong Hyeon , Michael Hinczewski , D. Thirumalai

Although known that single domain proteins fold and unfold by parallel pathways, demonstration of this expectation has been difficult to establish in experiments. Unfolding rate, $k_\mathrm{u}(f)$, as a function of force $f$, obtained in…

软凝聚态物质 · 物理学 2016-04-27 Pavel I. Zhuravlev , Michael Hinczewski , Shaon Chakrabarti , Susan Marqusee , D. Thirumalai

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

Single-molecule atomic force spectroscopy probes elastic properties of titin, ubiquitin and other relevant proteins. We explain bioprotein folding dynamics under both length- and force-clamp by modeling polyprotein modules as particles in a…

统计力学 · 物理学 2016-11-17 L. L. Bonilla , A. Carpio , A. Prados

Detecting conformational transitions in molecular systems is key to understanding biological processes. Here, we investigate the force variance in single-molecule pulling experiments as an indicator of molecular folding transitions. We…

统计力学 · 物理学 2023-09-13 Marc Rico , Felix Ritort

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

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

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

Using coarse-grained model we have explored forced-unfolding of RNA hairpin as a function of $f_S$ and the loading rate ($r_f$). The simulations and theoretical analysis have been done without and with the handles that are explicitly…

生物大分子 · 定量生物学 2009-11-13 Changbong Hyeon , D. Thirumalai

Single molecule force spectroscopy reveals unfolding of domains in titin upon stretching. We provide a theoretical framework for these experiments by computing the phase diagrams for force-induced unfolding of single domain proteins using…

软凝聚态物质 · 物理学 2009-10-31 D. K. Klimov , D. Thirumalai

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

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

Single-molecule experiments with optical tweezers have become an important tool to study the properties and mechanisms of biological systems, such as cells and nucleic acids. In particular, force unzipping experiments have been used to…

生物物理 · 物理学 2019-07-22 Marc Rico-Pasto , Isabel Pastor , Felix Ritort

Single molecule force spectroscopy provide details of the underlying energy surfaces of proteins which are essential to the understanding of their unfolding process. Recently, it has been observed experimentally that by pulling proteins in…

统计力学 · 物理学 2009-11-13 R. Rajesh , D. Giri , I. Jensen , S. Kumar

Analysis of bond rupture data from single-molecule force spectroscopy experiments commonly relies on the strong assumption that the bond dissociation process is irreversible. However, with increased spatiotemporal resolution of instruments…

生物物理 · 物理学 2022-05-13 Jakob Tómas Bullerjahn , Gerhard Hummer

Single-molecule force spectroscopy has proven to be a powerful tool for studying the kinetic behavior of biomolecules. Through application of an external force, conformational states with small or transient populations can be stabilized,…

The protein folding is regarded as a quantum transition between torsion states on polypeptide chain. The deduction of the folding rate formula in our previous studies is reviewed. The rate formula is generalized to the case of frequency…

生物大分子 · 定量生物学 2010-08-24 Liaofu Luo

The folding dynamics of small single-domain proteins is a current focus of simulations and experiments. Many of these proteins are 'two-state folders', i.e. proteins that fold rather directly from the denatured state to the native state,…

生物大分子 · 定量生物学 2020-01-08 Thomas R. Weikl

The folding dynamics of proteins at the single molecule level has been studied with single-molecule force spectroscopy (SMFS) experiments for twenty years, but a common standardized method for the analysis of the collected data and for the…

生物大分子 · 定量生物学 2018-09-28 Nicola Galvanetto , Andrea Perissinotto , Andrea Pedroni , Vincent Torre

Forced detachment of a single polymer chain, strongly-adsorbed on a solid substrate, is investigated by two complementary methods: a coarse-grained analytical dynamical model, based on the Onsager stochastic equation, and Molecular Dynamics…

软凝聚态物质 · 物理学 2014-03-27 J. Paturej , J. L. A. Dubbeldam , V. G. Rostiashvili , A. Milchev , T. A. Vilgis
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