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首页> 外文期刊>Journal of chemical theory and computation: JCTC >A New Efficient Method for Generating Conformations of Unfolded Proteins with Diverse Main-Chain Dihedral-Angle Distributions
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A New Efficient Method for Generating Conformations of Unfolded Proteins with Diverse Main-Chain Dihedral-Angle Distributions

机译:一种生成具有多种主链二面角分布的未折叠蛋白构象的新有效方法

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摘要

A new method for generating polypeptide-chain conformations has been developed for studying structural characteristics of unfolded proteins. It enables us to generate a large number of conformations very rapidly by avoiding atomic collisions efficiently with the use of main-chain dihedral-angle distributions derived from a crystal-structure database of proteins. In addition, combining main-chain dihedral-angle distributions for the amino acid residues incorporated in different secondary structures, we can obtain diverse conformational ensembles with different structural features. Structural characteristics of proteins denatured in high-concentration denaturant solution were analyzed by comparing predictions from this method with results from solution X-ray scattering (SXS) measurement. Analysis of the dependence of the mean square radius (R_(sq)) of protein on the number of residues and the shape of its Kratky profile has confirmed that the highly denaturing solvent serves as a good solvent in accordance with previous reports. It was also found that, in order for a conformational ensemble to reproduce experimental data, the percentage in which main-chain dihedral angles are found in the a region must be in the range of 20-40%. It agrees with studies on the ~3J_(HNα) coupling constant using the multidimensional NMR method. These results confirm that our method for generating diverse conformations of polypeptide chains is very useful to the conformational analysis of unfolded protein, because it enables us to analyze comprehensively both of the local structural features obtained from NMR and the global ones obtained from SXS.
机译:已经开发出一种用于产生多肽链构象的新方法来研究未折叠蛋白的结构特征。通过使用从蛋白质晶体结构数据库得出的主链二面角分布,可以有效地避免原子碰撞,从而使我们能够非常快速地生成大量构象。另外,结合结合在不同二级结构中的氨基酸残基的主链二面角分布,我们可以获得具有不同结构特征的各种构象集合。通过将这种方法的预测结果与溶液X射线散射(SXS)测量的结果进行比较,分析了在高浓度变性剂溶液中变性的蛋白质的结构特征。分析蛋白质的均方半径(R_(sq))对残基数量及其Kratky轮廓形状的依赖性的分析已证实,根据先前的报道,高变性溶剂可作为良好的溶剂。还发现,为了使构象集合重现实验数据,在一个区域中发现主链二面角的百分比必须在20-40%的范围内。它与使用多维NMR方法对〜3J_(HNα)耦合常数的研究相吻合。这些结果证实,我们产生多肽链各种构象的方法对于未折叠蛋白的构象分析非常有用,因为它使我们能够全面分析从NMR获得的局部结构特征和从SXS获得的整体结构特征。

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