On the role of structural class of a protein with two-state folding kinetics in determining correlations between its size, topology, and folding rate

被引:34
|
作者
Istomin, Andrei Y.
Jacobs, Donald J.
Livesay, Dennis R.
机构
[1] Univ N Carolina, Dept Comp Sci, Charlotte, NC 28223 USA
[2] Univ N Carolina, Bioinformat Res Ctr, Charlotte, NC 28223 USA
[3] Univ N Carolina, Dept Phys & Opt Sci, Charlotte, NC 28223 USA
关键词
protein folding; folding rate; contact order; long-range order; folding kinetics; topomer-search model;
D O I
10.1110/ps.073124507
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 time it takes for proteins to fold into their native states varies over several orders of magnitude depending on their native-state topology, size, and amino acid composition. In a number of previous studies, it was found that there is strong correlation between logarithmic folding rates and contact order for proteins that fold with two-state kinetics, while such correlation is absent for three-state proteins. Conversely, strong correlations between folding rates and chain length occur within three-state proteins, but not in two-state proteins. Here, we demonstrate that chain lengths and folding rates of two-state proteins are not correlated with each other only when all-alpha, all-beta, and mixed-class proteins are considered together, which is typically the case. However, when considering all-alpha and all-beta two-state proteins separately, there is significant linear correlation between folding rate and size. Moreover, the sets of data points for the all-alpha and all-beta classes define asymptotes of lower and upper limits on folding rates of mixed-class proteins. By analyzing correlation of other topological parameters with folding rates of two-state proteins, we find that only the long-range order exhibits correlation with folding rates that is uniform over all three classes. It is also the only descriptor to provide statistically significant correlations for each of the three structural classes. We give an interpretation of this observation in terms of Makarov and Plaxco's diffusion-based topomer-search model.
引用
收藏
页码:2564 / 2569
页数:6
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