Seki Yasutaka, Shimbo Yudai, Nonaka Takamasa, Soda Kunitsugu
School of Pharmacy, Iwate Medical University , Yahaba, Iwate 028-3694, Japan.
Department of Bioengineering, Nagaoka University of Technology , Nagaoka, Niigata 940-2188, Japan.
J Chem Theory Comput. 2011 Jul 12;7(7):2126-36. doi: 10.1021/ct100708p. Epub 2011 Jun 27.
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 (Rsq) 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 α region must be in the range of 20-40%. It agrees with studies on the (3)JHNα 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.
一种用于生成多肽链构象的新方法已被开发出来,用于研究未折叠蛋白质的结构特征。通过利用从蛋白质晶体结构数据库中获得的主链二面角分布,高效地避免原子碰撞,该方法能使我们非常快速地生成大量构象。此外,结合不同二级结构中所含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多样构象集合。通过将该方法的预测结果与溶液X射线散射(SXS)测量结果进行比较,分析了在高浓度变性剂溶液中变性的蛋白质的结构特征。对蛋白质的均方半径(Rsq)对残基数的依赖性及其Kratky图形状的分析证实,与先前报道一致,高变性溶剂起到了良溶剂的作用。还发现,为了使构象集合能够重现实验数据,在α区域中发现的主链二面角的百分比必须在20%至40%的范围内。这与使用多维核磁共振方法对(3)JHNα耦合常数的研究结果一致。这些结果证实,我们生成多肽链多样构象的方法对于未折叠蛋白质的构象分析非常有用,因为它使我们能够全面分析从核磁共振获得的局部结构特征和从SXS获得的全局结构特征。