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序列决定粗粒化蛋白质模型中打结的程度。

Sequence determines degree of knottedness in a coarse-grained protein model.

机构信息

Scientific IT Services, ETH Zürich, 8092 Zürich, Switzerland.

Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudinger Weg 9, 55128 Mainz, Germany.

出版信息

Phys Rev Lett. 2015 Jan 16;114(2):028102. doi: 10.1103/PhysRevLett.114.028102. Epub 2015 Jan 15.

Abstract

Knots are abundant in globular homopolymers but rare in globular proteins. To shed new light on this long-standing conundrum, we study the influence of sequence on the formation of knots in proteins under native conditions within the framework of the hydrophobic-polar lattice protein model. By employing large-scale Wang-Landau simulations combined with suitable Monte Carlo trial moves we show that even though knots are still abundant on average, sequence introduces large variability in the degree of self-entanglements. Moreover, we are able to design sequences which are either almost always or almost never knotted. Our findings serve as proof of concept that the introduction of just one additional degree of freedom per monomer (in our case sequence) facilitates evolution towards a protein universe in which knots are rare.

摘要

结在球状均聚物中很丰富,但在球状蛋白质中却很少见。为了阐明这一长期存在的难题,我们在疏水-极性格子蛋白质模型的框架内,研究了序列对天然条件下蛋白质中结形成的影响。通过使用大规模的 Wang-Landau 模拟和适当的蒙特卡罗试验移动,我们表明,尽管结在平均水平上仍然很丰富,但序列会导致自我缠绕程度的极大变化。此外,我们能够设计出几乎总是或几乎从不打结的序列。我们的发现证明了一个概念,即每个单体(在我们的情况下是序列)引入一个额外的自由度,就可以促进向结很少的蛋白质宇宙进化。

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