Capriotti Emidio, Compiani Mario
Laboratory of Biocomputing, University of Bologna, Bologna, Italy.
Proteins. 2006 Jul 1;64(1):198-209. doi: 10.1002/prot.20980.
In this article we use mutation studies as a benchmark for a minimal model of the folding process of helical proteins. The model ascribes a pivotal role to the collisional dynamics of a few crucial residues (foldons) and predicts the folding rates by exploiting information drawn from the protein sequence. We show that our model rationalizes the effects of point mutations on the kinetics of folding. The folding times of two proteins and their mutants are predicted. Stability and location of foldons have a critical role as the determinants of protein folding. This allows us to elucidate two main mechanisms for the kinetic effects of mutations. First, it turns out that the mutations eliciting the most notable effects alter protein stability through stabilization or destabilization of the foldons. Secondly, the folding rate is affected via a modification of the foldon topology by those mutations that lead to the birth or death of foldons. The few mispredicted folding rates of some mutants hint at the limits of the current version of the folding model proposed in the present article. The performance of our folding model declines in case the mutated residues are subject to strong long-range forces. That foldons are the critical targets of mutation studies has notable implications for design strategies and is of particular interest to address the issue of the kinetic regulation of single proteins in the general context of the overall dynamics of the interactome.
在本文中,我们将突变研究用作螺旋蛋白折叠过程最小模型的基准。该模型赋予少数关键残基(折叠子)的碰撞动力学以关键作用,并通过利用从蛋白质序列中获取的信息来预测折叠速率。我们表明,我们的模型能够合理地解释点突变对折叠动力学的影响。预测了两种蛋白质及其突变体的折叠时间。折叠子的稳定性和位置作为蛋白质折叠的决定因素起着关键作用。这使我们能够阐明突变动力学效应的两种主要机制。首先,事实证明,引发最显著效应的突变通过稳定或破坏折叠子来改变蛋白质稳定性。其次,折叠速率受到那些导致折叠子产生或消失的突变对折叠子拓扑结构的改变的影响。一些突变体的少数错误预测的折叠速率暗示了本文提出的当前版本折叠模型的局限性。如果突变残基受到强大的长程力作用,我们的折叠模型的性能就会下降。折叠子是突变研究的关键靶点,这对设计策略具有显著意义,并且在相互作用组整体动力学的一般背景下解决单个蛋白质的动力学调控问题时特别受关注。