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模式识别与自校正距离几何计算应用于肌红蛋白。

Pattern recognition and self-correcting distance geometry calculations applied to myohemerythrin.

作者信息

Hänggi G, Braun W

机构信息

Institut für Molekularbiologie und Biophysik, Eidgenössische Technische Hochschule-Hönggerberg, Zürich, Switzerland.

出版信息

FEBS Lett. 1994 May 16;344(2-3):147-53. doi: 10.1016/0014-5793(94)00366-1.

Abstract

A topological list, consisting of segments of regular secondary structures and a list of buried and solvent accessible residues, is automatically predicted from multiple aligned sequences in a protein family. This topological list is translated into geometric constraints for distance geometry calculation in torsion angle space. A new self-correcting distance geometry method detects and eliminates false distance constraints. In an application to the four-helix bundle protein, myohem-erythrin, the right-handed global fold was correctly reproduced with a root-mean-square deviation of 2.6 A, when the topological list was derived from the X-ray structure. A predicted topological list, coupled with constraints from the residues in the active site of myohemerythrin, predicted the correct fold with a root-mean-square deviation of 4 A for backbone atoms.

摘要

从蛋白质家族的多序列比对中自动预测出一个拓扑列表,该列表由规则二级结构片段以及埋藏和可溶剂接触残基列表组成。此拓扑列表被转化为扭转角空间中距离几何计算的几何约束。一种新的自校正距离几何方法可检测并消除错误的距离约束。在应用于四螺旋束蛋白肌红蛋白时,当拓扑列表源自X射线结构时,正确再现了右手全局折叠,其均方根偏差为2.6埃。一个预测的拓扑列表,结合来自肌红蛋白活性位点残基的约束,预测出主链原子的正确折叠,均方根偏差为4埃。

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