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连接规则二级结构的短、中长度环构象的分析、聚类和预测。

Analysis, clustering and prediction of the conformation of short and medium size loops connecting regular secondary structures.

作者信息

Rufino S D, Donate L E, Canard L, Blundell T L

机构信息

Department of Crystallography, Birkbeck College, University of London, UK.

出版信息

Pac Symp Biocomput. 1996:570-89.

PMID:9390259
Abstract

Loops are regions of non-repetitive conformation connecting regular secondary structures. They are both the most difficult and error prone regions of a protein to solve by X-ray crystallography and the hardest regions to model using knowledge-based procedures. While the core of a protein can be straight forwardly modelled from the structurally conserved regions of homologues of known structure, loops must be modelled from a selected homologue or from a loop chosen from outside the family. Here we present a loop prediction procedure that attempts to identify the conformational class of the loop rather than to select a specific loop from a database of fragments. The structures of some 2083 loops of one to eight residues in length were extracted from a database of 225 protein and protein domain structures. For each loop, the relative disposition of its bounding secondary structures is described by the separation between the tips of their axes, the angle and dihedral angle between their axes. From the clustering of the loops according to the root mean square deviation of their spatial fit, a total of 162 loop conformational classes, including 79% of loops, were identified. One-hundred and eight of these, involving 66% of the loops, were populated by at least four non-homologous loops or four loops sharing a low sequence identity. Another 54 classes, including 13% of the loops, were populated by at least three loops of low sequence similarity from three or fewer non-homologous groups. Most of the previously described loop conformations were found among the populated classes. For each class a template was constructed containing both sequence preferences and the relative disposition of bounding secondary structures among member loops. During comparative modelling, the conformation of a loop can be predicted by identifying a loop class with which its sequence and disposition of bounding secondary structures are compatible.

摘要

环是连接规则二级结构的非重复构象区域。它们是蛋白质中通过X射线晶体学解析最困难且最容易出错的区域,也是使用基于知识的方法进行建模最困难的区域。虽然蛋白质的核心可以直接从已知结构的同源物的结构保守区域进行建模,但环必须从选定的同源物或从家族外选择的环进行建模。在此,我们提出一种环预测程序,该程序试图识别环的构象类别,而不是从片段数据库中选择特定的环。从225个蛋白质和蛋白质结构域结构的数据库中提取了约2083个长度为1至8个残基的环的结构。对于每个环,其边界二级结构的相对位置通过其轴端之间的间距、轴之间的角度和二面角来描述。根据环的空间拟合均方根偏差对环进行聚类,共识别出162种环构象类别,包括79%的环。其中108种,涉及66%的环,由至少四个非同源环或四个序列同一性较低的环组成。另外54个类别,包括13%的环,由来自三个或更少非同源组的至少三个低序列相似性的环组成。大多数先前描述的环构象在这些有代表性的类别中被发现。对于每个类别,构建了一个模板,该模板包含序列偏好以及成员环之间边界二级结构的相对位置。在比较建模过程中,可以通过识别其序列和边界二级结构的位置与之兼容的环类别来预测环的构象。

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