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基于结构轮廓的蛋白质折叠粗粒度模型。

Coarse-grained model for protein folding based on structural profiles.

作者信息

Wolff Katrin, Vendruscolo Michele, Porto Markus

机构信息

School of Physics, University of Edinburgh, JCMB Kings Buildings, Edinburgh EH9 3JZ, United Kingdom.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Oct;84(4 Pt 1):041934. doi: 10.1103/PhysRevE.84.041934. Epub 2011 Oct 28.

DOI:10.1103/PhysRevE.84.041934
PMID:22181202
Abstract

We study a coarse-grained protein model whose primary characteristics are (i) a tubelike geometry to describe the self-avoidance effects of the polypeptide chain and (ii) an energy function based on a one-dimensional structural representation. The latter specifies the connectivity of a sequence in a given conformation, so that the energy function, rather than favoring the formation of specific native pairwise contacts, promotes the establishment of a specific target connectivity for each amino acid. We show that the resulting dynamics is in good agreement with both experimental observations and the results of all-atoms simulations. In contrast to the latter, our coarse-grained approach provides the possibility to explore longer time scales and thus enables one to access, albeit in less detail, larger regions of the conformational space. We illustrate our approach by its application to the villin headpiece domain, a three-helix protein, by studying its folding behavior and determining heat capacities and free-energy landscapes in various reaction coordinates.

摘要

我们研究了一种粗粒化蛋白质模型,其主要特征为:(i)采用管状几何结构来描述多肽链的自回避效应;(ii)基于一维结构表示的能量函数。后者指定了给定构象中序列的连通性,因此能量函数并非有利于形成特定的天然成对接触,而是促进为每个氨基酸建立特定的目标连通性。我们表明,由此产生的动力学与实验观察结果以及全原子模拟结果均高度吻合。与全原子模拟不同的是,我们的粗粒化方法提供了探索更长时间尺度的可能性,从而使人们能够(尽管细节较少)访问构象空间的更大区域。我们通过将其应用于一种三螺旋蛋白质——绒毛蛋白头部结构域,研究其折叠行为并确定各种反应坐标下的热容和自由能景观,来说明我们的方法。

相似文献

1
Coarse-grained model for protein folding based on structural profiles.基于结构轮廓的蛋白质折叠粗粒度模型。
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Oct;84(4 Pt 1):041934. doi: 10.1103/PhysRevE.84.041934. Epub 2011 Oct 28.
2
Two-state folding, folding through intermediates, and metastability in a minimalistic hydrophobic-polar model for proteins.蛋白质简约疏水-极性模型中的两态折叠、通过中间体折叠和亚稳性
Phys Rev Lett. 2007 Jan 26;98(4):048103. doi: 10.1103/PhysRevLett.98.048103. Epub 2007 Jan 25.
3
Analyses of simulations of three-dimensional lattice proteins in comparison with a simplified statistical mechanical model of protein folding.将三维晶格蛋白质的模拟与蛋白质折叠的简化统计力学模型进行比较分析。
Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Jul;74(1 Pt 1):011913. doi: 10.1103/PhysRevE.74.011913. Epub 2006 Jul 18.
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Cooperativity, local-nonlocal coupling, and nonnative interactions: principles of protein folding from coarse-grained models.协同性、局部-非局部耦合与非天然相互作用:基于粗粒度模型的蛋白质折叠原理
Annu Rev Phys Chem. 2011;62:301-26. doi: 10.1146/annurev-physchem-032210-103405.
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Application of the diffusion-collision model to the folding of three-helix bundle proteins.扩散-碰撞模型在三螺旋束蛋白折叠中的应用。
J Mol Biol. 2002 Apr 19;318(1):199-215. doi: 10.1016/S0022-2836(02)00029-3.
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A coarse-grained Langevin molecular dynamics approach to de novo protein structure prediction.一种用于从头蛋白质结构预测的粗粒度朗之万分子动力学方法。
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Separation of time scale and coupling in the motion governed by the coarse-grained and fine degrees of freedom in a polypeptide backbone.多肽主链中粗粒度和细粒度自由度所支配运动的时间尺度分离与耦合
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Coarse-grained models of protein folding: toy models or predictive tools?蛋白质折叠的粗粒度模型:玩具模型还是预测工具?
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Identification of characteristic protein folding channels in a coarse-grained hydrophobic-polar peptide model.在粗粒度疏水-极性肽模型中特征性蛋白质折叠通道的识别
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Hidden structure in protein energy landscapes.蛋白质能量景观中的隐藏结构。
Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Feb;77(2 Pt 1):021902. doi: 10.1103/PhysRevE.77.021902. Epub 2008 Feb 4.

引用本文的文献

1
Comparative Performance of Computer Simulation Models of Intrinsically Disordered Proteins at Different Levels of Coarse-Graining.不同粗粒化水平下的无序蛋白质计算机模拟模型的比较性能。
J Chem Inf Model. 2023 Jul 10;63(13):4079-4087. doi: 10.1021/acs.jcim.3c00113. Epub 2023 Jun 20.
2
Mapping the Protein Fold Universe Using the CamTube Force Field in Molecular Dynamics Simulations.在分子动力学模拟中使用CamTube力场绘制蛋白质折叠宇宙图谱。
PLoS Comput Biol. 2015 Oct 27;11(10):e1004435. doi: 10.1371/journal.pcbi.1004435. eCollection 2015 Oct.