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首页> 外文期刊>Journal of chemical theory and computation: JCTC >The Extent of Cooperativity of Protein Motions Observed with Elastic Network Models Is Similar for Atomic and Coarser-Grained Models
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The Extent of Cooperativity of Protein Motions Observed with Elastic Network Models Is Similar for Atomic and Coarser-Grained Models

机译:用弹性网络模型观察到的蛋白质运动的合作程度类似于原子和粗糙粒度模型

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摘要

Coarse-grained elastic network models have been successful in determining functionally relevant collective motions.The level of coarse-graining,however,has usually focused on the level of one point per residue.In this work,we compare the applicability of elastic network models over a broader range of representational scales.We apply normal mode analysis for multiple scales on a high-resolution protein data set using various cutoff radii to define the residues considered to be interacting or the extent of cooperativity of their motions.These scales include the residue,atomic,proton,and explicit solvent levels.Interestingly,atomic,proton,and explicit solvent level calculations all provide similar results at the same cutoff value,with the computed mean-square fluctuations showing only a slightly higher correlation (0.61)with the experimental temperature factors from crystallography than the results of the residue-level coarse-graining.The qualitative behavior of each level of coarse graining is similar at different cutoff values.The correlations between these fluctuations and the number of internal contacts improve with increased cutoff values.Our results demonstrate that atomic level elastic network models provide an improved representation for the collective motions of proteins compared to the coarse-grained models.
机译:粗粒度的弹性网络模型在确定功能相关的集体动作方面取得了成功。然而,粗粒的水平通常集中在每残留的一个点的水平。在这项工作中,我们比较弹性网络模型的适用性更广泛的代表性尺度。我们在使用各种截止半径定义所认为是相互作用的残基或其运动的合作程度的高分辨率蛋白质数据集上对多个刻度进行正常模式分析。这些鳞片包括残留物,原子,质子和显式溶剂水平。互动,原子,质子和显式溶剂水平计算均提供相同的截止值的类似结果,具有计算的平均方波动显示实验温度略高的相关性(0.61)晶体学的因素比残留水平粗晶的结果。每个粗粒的定性行为在不同的截止值中类似。这些波动与内部接触数之间的相关性随着截止值的增加而改善。结果表明,与粗粒相比,原子水平弹性网络模型提供了蛋白质集体运动的改进的表示楷模。

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    L.H.Baker Center for Bioinformatics and Biological Statistics Iowa State University Ames Iowa 50011-3020 and Department of Biochemistry Biophysics and Molecular Biology and Bioinformatics and Computational Biology Program Iowa State University Ames I;

    L.H.Baker Center for Bioinformatics and Biological Statistics Iowa State University Ames Iowa 50011-3020 and Department of Biochemistry Biophysics and Molecular Biology and Bioinformatics and Computational Biology Program Iowa State University Ames I;

    L.H.Baker Center for Bioinformatics and Biological Statistics Iowa State University Ames Iowa 50011-3020 and Department of Biochemistry Biophysics and Molecular Biology and Bioinformatics and Computational Biology Program Iowa State University Ames I;

    L.H.Baker Center for Bioinformatics and Biological Statistics Iowa State University Ames Iowa 50011-3020 and Department of Biochemistry Biophysics and Molecular Biology and Bioinformatics and Computational Biology Program Iowa State University Ames I;

    L.H.Baker Center for Bioinformatics and Biological Statistics Iowa State University Ames Iowa 50011-3020 and Department of Biochemistry Biophysics and Molecular Biology and Bioinformatics and Computational Biology Program Iowa State University Ames I;

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  • 正文语种 eng
  • 中图分类 化学;
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