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通过主链自由度重新包装蛋白质核心:卷曲螺旋的结构预测

Repacking protein cores with backbone freedom: structure prediction for coiled coils.

作者信息

Harbury P B, Tidor B, Kim P S

机构信息

Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge 02139, USA.

出版信息

Proc Natl Acad Sci U S A. 1995 Aug 29;92(18):8408-12. doi: 10.1073/pnas.92.18.8408.

DOI:10.1073/pnas.92.18.8408
PMID:7667303
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC41166/
Abstract

Progress in homology modeling and protein design has generated considerable interest in methods for predicting side-chain packing in the hydrophobic cores of proteins. Present techniques are not practically useful, however, because they are unable to model protein main-chain flexibility. Parameterization of backbone motions may represent a general and efficient method to incorporate backbone relaxation into such fixed main-chain models. To test this notion, we introduce a method for treating explicitly the backbone motions of alpha-helical bundles based on an algebraic parameterization proposed by Francis Crick in 1953 [Crick, F. H. C. (1953) Acta Crystallogr. 6, 685-689]. Given only the core amino acid sequence, a simple calculation can rapidly reproduce the crystallographic main-chain and core side-chain structures of three coiled coils (one dimer, one trimer, and one tetramer) to within 0.6-A root-mean-square deviations. The speed of the predictive method [approximately 3 min per rotamer choice on a Silicon Graphics (Mountain View, CA) 4D/35 computer] permits it to be used as a design tool.

摘要

同源建模和蛋白质设计的进展引发了人们对预测蛋白质疏水核心中侧链堆积方法的浓厚兴趣。然而,目前的技术并不实用,因为它们无法模拟蛋白质主链的灵活性。主链运动的参数化可能是一种将主链松弛纳入此类固定主链模型的通用且有效的方法。为了验证这一概念,我们基于弗朗西斯·克里克在1953年提出的代数参数化方法[克里克,F. H. C.(1953年)《晶体学报》6卷,685 - 689页],引入了一种明确处理α - 螺旋束主链运动的方法。仅给定核心氨基酸序列,一个简单的计算就能快速将三个卷曲螺旋(一个二聚体、一个三聚体和一个四聚体)的晶体学主链和核心侧链结构重现到均方根偏差在0.6埃以内。该预测方法的速度[在硅图公司(加利福尼亚州山景城)的4D/35计算机上,每个旋转异构体选择大约需要3分钟]使其能够用作设计工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2920/41166/495204ce59d8/pnas01496-0332-a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2920/41166/26156b433b05/pnas01496-0329-a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2920/41166/f09ca32338e5/pnas01496-0331-a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2920/41166/495204ce59d8/pnas01496-0332-a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2920/41166/26156b433b05/pnas01496-0329-a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2920/41166/f09ca32338e5/pnas01496-0331-a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2920/41166/495204ce59d8/pnas01496-0332-a.jpg

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