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相关论文: Aggregate geometry in amyloid fibril nucleation

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We consider nucleation of amyloid fibrils in the case when the process occurs by the mechanism of direct polymerization of practically fully extended protein segments, i.e. beta-strands, into beta-sheets. Applying the classical nucleation…

生物大分子 · 定量生物学 2010-06-11 Dimo Kashchiev , Stefan Auer

Polypeptides can self-assemble into hierarchically organized fibrils consisting of a stack of individually folded polypeptides driven together by hydrophobic interaction. Using a coarse grained model, we systematically studied this…

软凝聚态物质 · 物理学 2013-07-31 Ran Ni , Sanne Abeln , Marieke Schor , Martien A. Cohen Stuart , Peter G. Bolhuis

Amyloid fibers are aggregates of proteins. They are built out of a peptide called $\beta$--amyloid (A$\beta$) containing between 41 and 43 residues, produced by the action of an enzyme which cleaves a much larger protein known as the…

生物大分子 · 定量生物学 2009-11-10 G. Tiana , F. Simona , R. A. Broglia , G. Colombo

Deciphering the links between amino acid sequence and amyloid fibril formation is key for understanding protein misfolding diseases. Here we use Monte Carlo simulations to study aggregation of short peptides in a coarse-grained model with…

生物大分子 · 定量生物学 2017-09-21 Nguyen Ba Hung , Duy-Manh Le , Trinh X. Hoang

The 16-22 amino acid fragment of the beta-amyloid peptide associated with the Alzheimer's disease, Abeta, is capable of forming amyloid fibrils. Here we study the aggregation mechanism of Abeta(16-22) peptides by unbiased thermodynamic…

生物大分子 · 定量生物学 2009-11-10 Giorgio Favrin , Anders Irbäck , Sandipan Mohanty

Using exhaustive Monte Carlo simulations we study the kinetics and mechanism of fibril formation using lattice models as a function of temperature and the number of chains. While these models are, at best, caricatures of peptides, we show…

生物大分子 · 定量生物学 2009-11-13 Mai Suan Li , D. K. Klimov , J. E. Straub , D. Thirumalai

The self-assembly of proteins into $\beta$-sheet-rich amyloid fibrils has been observed to occur with sigmoidal kinetics, indicating that the system initially is trapped in a metastable state. Here, we use a minimal lattice-based model to…

生物物理 · 物理学 2016-01-05 Anders Irbäck , Jonas Wessén

Proteinaceous aggregation occurs through self-assembly-- a process not entirely understood. In a recent article [1], an analytical theory for amyloid fibril growth via secondary rather than primary nucleation was presented. Remarkably, with…

生物物理 · 物理学 2010-06-16 Barry D. Ganapol

The classical nucleation theory finds the rate of nucleation proportional to the monomer concentration raised to the power, which is the `critical nucleaus size', ${n_c}$. The implicit assumption, that amyloids nucleate in the same way, has…

软凝聚态物质 · 物理学 2020-05-19 Cheng-Tai Lee , Eugene M. Terentjev

Many different proteins self-aggregate into insoluble fibrils growing apically by reversible addition of elementary building blocks. But beyond this common principle, the modalities of fibril formation are very disparate, with various…

生物物理 · 物理学 2016-09-29 Denis Michel

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

Protein aggregation in the form of amyloid fibrils has important biological and technological implications. Although the self-assembly process is highly efficient, aggregates not in the fibrillar form would also occur and it is important to…

软凝聚态物质 · 物理学 2010-01-20 Chiu Fan Lee

The formation of amyloid fibrils comprising amyloid $\beta$ (A$\beta$) peptides is associated with the pathology of Alzheimer's disease. In this study, we theoretically investigated the A$\beta$ structure at the fibril end using the density…

Protein amyloid fibrils are a form of linear protein aggregates that are implicated in many neurodegenerative diseases. Here, we study the dynamics of amyloid fibril elongation by performing Langevin dynamic simulations on a coarse-grained…

生物物理 · 物理学 2009-10-06 Chiu Fan Lee , James Loken , Letitia Jean , David J. Vaux

Above a critical concentration a wide variety of peptides and proteins self-assemble into amyloid fibrils which entangle to form percolating networks called hydrogels. Such hydrogels have important applications as biomaterials and in…

生物物理 · 物理学 2015-03-02 Leandro G. Rizzi , David A. Head , Stefan Auer

We propose a kinetic model for the self-aggregation by amyloid proteins. By extending several well-known models for protein aggregation, the time evolution of aggregate concentrations containing $r$ proteins, denoted $c_r(t)$, can be…

化学物理 · 物理学 2013-08-26 John S. Schreck , Jian-Min Yuan

We develop a general theory for three states of equilibrium of amyloid peptides: the monomer, oligomer, and fibril. We assume that the oligomeric state is a disordered micelle-like collection of a few peptide chains held together loosely by…

软凝聚态物质 · 物理学 2015-05-19 Jeremy Schmit , Kingshuk Ghosh , Ken Dill

The need to understand the assembly kinetics of fibril formation has become urgent because of the realization that soluble oligomers of amyloidogenic peptides may be even more neurotoxic than the end product, namely, the amyloid fibrils. In…

生物大分子 · 定量生物学 2007-05-23 Ruxandra I. Dima , Bogdan Tarus , John E. Straub , D. Thirumalai

Peptides and proteins exhibit a common tendency to assemble into highly ordered fibrillar aggregates, whose formation proceeds in a nucleation-dependent manner that is often preceded by the formation of disordered oligomeric assemblies.…

生物大分子 · 定量生物学 2009-01-14 Stefan Auer , Christopher M. Dobson , Michele Vendruscolo , Amos Maritan

We study the aggregation of peptides using the discrete molecular dynamics simulations. At temperatures above the alpha-helix melting temperature of a single peptide, the model peptides aggregate into a multi-layer parallel beta-sheet…

软凝聚态物质 · 物理学 2009-11-10 S. Peng , F. Ding , B. Urbanc , S. V. Buldyrev , L. Cruz , H. E. Stanley , N. V. Dokholyan
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