Native-like mean structure in the unfolded ensemble of small proteins

被引:156
作者
Zagrovic, B
Snow, CD
Khaliq, S
Shirts, MR
Pande, VS [1 ]
机构
[1] Stanford Univ, Biophys Program, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Chem, Stanford, CA 94305 USA
关键词
mean-structure hypothesis; unfolded state of proteins; distributed computing; conformational averaging;
D O I
10.1016/S0022-2836(02)00888-4
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The nature of the unfolded state plays a great role in our understanding of proteins. However, accurately studying the unfolded state with computer simulation is difficult, due to its complexity and the great deal of sampling required. Using a supercluster of over 10,000 processors we have performed close to 800 mus of molecular dynamics simulation in atomistic detail of the folded and unfolded states of three polypeptides from a range of structural classes: the all-alpha villin headpiece molecule, the beta hairpin tryptophan zipper, and a designed alpha-beta zinc finger mimic. A comparison between the folded and the unfolded ensembles reveals that, even though virtually none of the individual members of the unfolded ensemble exhibits native-like features, the mean unfolded structure (averaged over the entire unfolded ensemble) has a native-like geometry. This suggests several novel implications for protein folding and structure prediction as well as new interpretations for experiments which find structure in ensemble-averaged measurements. (C) 2002 Elsevier Science Ltd. All rights reserved.
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页码:153 / 164
页数:12
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