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基于氨基酸残基间经验性确定距离的球状蛋白高阶结构的距离约束方法。

Distance-constraint approach to higher-order structures of globular proteins with empirically determined distances between amino acid residues.

作者信息

Wako H, Kubota Y

机构信息

School of Social Sciences, Waseda University, Tokyo, Japan.

出版信息

J Protein Chem. 1991 Apr;10(2):233-43. doi: 10.1007/BF01024787.

Abstract

An analysis of higher-order structures of globular proteins by means of a distance-constraint approach is presented. Conformations are generated for each of 21 test proteins of small and medium sizes by optimizing an objective function f = sigma sigma wij(dij - (dij]2, where dij is a distance between residues i and j in a calculated conformation, (dij) is an assigned distance to the (ij) pair of residues which is determined based on the statistics of known three-dimensional structures of 14 proteins in the earlier study, and wij is a weighting factor. (dij) involves information about hydrophobicity and hydrophilicity of each amino acid residue and about connectivity of a polypeptide chain. In these calculations, only the amino acid sequence is used as input data specific to a calculated protein. With respect to higher-order structures regenerated in the optimized conformations, the following properties are analyzed: (a) N14 of a residue, defined as the number of residues surrounding the residue located within a sphere of radius of 14 A; (b) root-mean-square differences of the global and local conformations from the corresponding X-ray conformations; (c) distance profiles in the short and medium ranges; and (d) distance maps. The effects of supplementary information about locations of secondary structures and disulfide bonds are also examined to discuss the potential ability of this methodology to predict the three-dimensional structures of globular proteins.

摘要

本文提出了一种利用距离约束方法分析球状蛋白质高阶结构的方法。通过优化目标函数f = ∑∑wij(dij - (dij))²,为21种中小型测试蛋白质生成构象,其中dij是计算构象中残基i和j之间的距离,(dij)是根据早期研究中14种蛋白质已知三维结构的统计数据确定的(ij)残基对的指定距离,wij是加权因子。(dij)涉及每个氨基酸残基的疏水性和亲水性以及多肽链的连接性信息。在这些计算中,仅将氨基酸序列用作特定于计算蛋白质的输入数据。对于在优化构象中再生的高阶结构,分析了以下性质:(a) 残基的N14,定义为位于半径为14 Å球体范围内围绕该残基的残基数量;(b) 全局和局部构象与相应X射线构象的均方根差异;(c) 短程和中程距离分布;以及(d) 距离图。还研究了关于二级结构位置和二硫键的补充信息的影响,以讨论该方法预测球状蛋白质三维结构的潜在能力。

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