A new procedure for constructing peptides into a given C

Yanli Wang , Hassan I Huq , Xavier F de la Cruz , Byungkook Lee
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引用次数: 12

Abstract

Background: In ab initio protein folding studies, it is often advantageous to build the Cα chain first and then to construct the full structure by filling in the peptide groups and the sidechains. Many algorithms have been reported for constructing peptide groups on the Cα chain, but most are unsuitable for use in such studies; some are too slow for screening a large number of trial Cα chains and others use only the local geometry and ignore the effects of specific non-neighbor interactions, which can be crucial for proper folding. We needed a fast procedure for constructing the peptide groups that does not ignore the effects of long-range, specific interactions.

Results: We first found rich correlations between the peptide orientation angle and both the local Cα-chain geometry and the type of the flanking amino acid residues. These correlations can be used to greatly limit the range of possible peptide orientation angles. We devised a simple peptide construction procedure in which all orientations within this reduced range are systematically examined and the orientation is selected that minimizes a suitable energy function that includes long-range, specific interactions. When tested on known structures, the method is found to be among the fastest of known methods and attains an accuracy comparable with or better than most methods.

Conclusions: The new method is fast and takes into account both the local and non-local specific interactions. It therefore appears to be suitable for use in itab initio protein folding studies, wherein a large number of Cα chains are screened.

一种将多肽构建成给定C的新方法
背景:在从头计算蛋白质折叠研究中,先构建Cα链,然后通过填充肽基和侧链构建完整结构往往是有利的。在Cα链上构建肽群的算法已有许多报道,但大多数不适合用于此类研究;一些方法对于筛选大量的试验Cα链来说太慢了,而另一些方法只使用局部几何结构而忽略了特定的非邻近相互作用的影响,而这对于正确折叠是至关重要的。我们需要一种快速的程序来构建肽群,而不忽略远距离、特异性相互作用的影响。结果:我们首先发现多肽的取向角与局部c α链的几何形状和侧翼氨基酸残基的类型之间存在丰富的相关性。这些相关性可以用来极大地限制可能的肽取向角的范围。我们设计了一个简单的肽构建程序,其中系统地检查了这个减少范围内的所有取向,并选择了最小化合适的能量函数的取向,包括远程,特定的相互作用。当对已知结构进行测试时,发现该方法是已知方法中最快的方法之一,并且达到与大多数方法相当或更好的精度。结论:新方法快速且兼顾了局部和非局部特异性相互作用。因此,它似乎适合用于从头开始蛋白质折叠研究,其中筛选了大量的Cα链。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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