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相关论文: Cotranslational folding of deeply knotted proteins

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An increasing number of proteins are being discovered with a remarkable and somewhat surprising feature, a knot in their native structures. How the polypeptide chain is able to knot itself during the folding process to form these highly…

生物大分子 · 定量生物学 2007-05-23 Stefan Wallin , Konstantin B Zeldovich , Eugene I Shakhnovich

Proteins with nontrivial topology, containing knots and slipknots, have the ability to fold to their native states without any additional external forces invoked. A mechanism is suggested for folding of these proteins, such as YibK and…

生物大分子 · 定量生物学 2010-01-06 Joanna I. Sułkowska , Piotr Sułkowski , José N. Onuchic

We study the folding process in the shallowly knotted protein MJ0366 within two variants of a structure-based model. We observe that the resulting topological pathways are much richer than identified in previous studies. In addition to the…

生物物理 · 物理学 2015-09-04 Mateusz Chwastyk , Marek Cieplak

In structure-based models of proteins, one often assumes that folding is accomplished when all contacts are established. This assumption may frequently lead to a conceptual problem that folding takes place in a temperature region of very…

生物大分子 · 定量生物学 2016-05-23 Karol Wołek , Marek Cieplak

We report on atomistic simulation of the folding of a natively-knotted protein, MJ0366, based on a realistic force field. To the best of our knowledge this is the first reported effort where a realistic force field is used to investigate…

生物大分子 · 定量生物学 2013-02-11 Silvio a Beccara , Tatjana Skrbic , Roberto Covino , Cristian Micheletti , Pietro Faccioli

Proteins must fold quickly to acquire their biologically functional three-dimensional native structures. Hence, these are mainly stabilized by local contacts, while intricate topologies such as knots are rare. Here, we reveal the existence…

生物大分子 · 定量生物学 2019-06-20 Marco Baiesi , Enzo Orlandini , Flavio Seno , Antonio Trovato

Cotranslational folding depends on the folding speed and stability of the nascent protein. It remains difficult, however, to predict which proteins cotranslationally fold. Here, we simulate evolution of model proteins to investigate how…

生物大分子 · 定量生物学 2020-10-28 Victor Zhao , William M. Jacobs , Eugene I. Shakhnovich

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

Energy landscape theory describes how a full-length protein can attain its native fold by sampling only a tiny fraction of all possible structures. Although protein folding is now understood to be concomitant with synthesis on the ribosome,…

生物大分子 · 定量生物学 2014-09-25 David S Tourigny

The ability to computationally generate novel yet physically foldable protein structures could lead to new biological discoveries and new treatments targeting yet incurable diseases. Despite recent advances in protein structure prediction,…

生物大分子 · 定量生物学 2022-11-28 Kevin E. Wu , Kevin K. Yang , Rianne van den Berg , James Y. Zou , Alex X. Lu , Ava P. Amini

Many native structures of proteins accomodate complex topological motifs such as knots, lassos, and other geometrical entanglements. How proteins can fold quickly even in the presence of such topological obstacles is a debated question in…

软凝聚态物质 · 物理学 2020-10-07 Federico Norbiato , Flavio Seno , Antonio Trovato , Marco Baiesi

Increasing evidence suggests that chromosome folding and genetic expression are intimately connected. For example, the co-expression of a large number of genes can benefit from their spatial co-localization in the cellular space.…

软凝聚态物质 · 物理学 2018-03-13 Guillaume Le Treut

The classical approach to protein folding inspired by statistical mechanics avoids the high dimensional structure of the conformation space by using effective coordinates. Here we introduce a network approach to capture the statistical…

生物大分子 · 定量生物学 2007-05-23 Erzsebet Ravasz , S. Gnanakaran , Zoltan Toroczkai

A coarse-grained off-lattice model that is not biased in any way to the native state is proposed to fold proteins. To predict the native structure in a reasonable time, the model has included the essential effects of water in an effective…

统计力学 · 物理学 2009-11-11 Nan-yow Chen , Zheng-Yao Su , Chung-Yu Mou

We investigate the interplay between post-translational folding and escape of two small single-domain proteins at the ribosomal exit tunnel by using Langevin dynamics with coarse-grained models. It is shown that at temperatures lower or…

生物大分子 · 定量生物学 2016-02-19 Bui Phuong Thuy , Trinh Xuan Hoang

Developing accurate and efficient coarse-grained representations of proteins is crucial for understanding their folding, function, and interactions over extended timescales. Our methodology involves simulating proteins with molecular…

生物大分子 · 定量生物学 2023-10-11 Carles Navarro , Maciej Majewski , Gianni de Fabritiis

Recent experiments and simulations have demonstrated that proteins can fold on the ribosome. However, the extent and generality of fitness effects resulting from co-translational folding remain open questions. Here we report a genome-wide…

生物大分子 · 定量生物学 2017-10-12 William M Jacobs , Eugene I Shakhnovich

Understanding the biological function of knots in proteins and their folding process is an open and challenging question in biology. Recent studies classify the topology and geometry of knotted proteins by analysing the distribution of a…

Knotted proteins embed a physical (i.e., open) knot within their native structures. For decades, significant effort has been devoted to elucidating the functional role of knots in proteins, yet no consensus has been reached. Here, using…

生物大分子 · 定量生物学 2026-03-13 João NC Especial , Patrícia FN Faísca

Knotted proteins, when forced through the pores, can get stuck if the knots in their backbone tighten under force. Alternatively, the knot can slide off the chain, making translocation possible. We construct a simple energy landscape model…

统计力学 · 物理学 2023-11-08 Karol Capała , Piotr Szymczak
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