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受挫折模型蛋白质的能量景观和全局优化。

Energy landscape and global optimization for a frustrated model protein.

机构信息

School of Chemistry, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.

出版信息

J Phys Chem B. 2011 Oct 6;115(39):11525-9. doi: 10.1021/jp207246m. Epub 2011 Sep 9.

Abstract

The three-color (BLN) 69-residue model protein was designed to exhibit frustrated folding. We investigate the energy landscape of this protein using disconnectivity graphs and compare it to a Gō model, which is designed to reduce the frustration by removing all non-native attractive interactions. Finding the global minimum on a frustrated energy landscape is a good test of global optimization techniques, and we present calculations evaluating the performance of basin-hopping and genetic algorithms for this system. Comparisons are made with the widely studied 46-residue BLN protein. We show that the energy landscape of the 69-residue BLN protein contains several deep funnels, each of which corresponds to a different β-barrel structure.

摘要

三色(BLN)69 残基模型蛋白被设计为表现出受挫折叠。我们使用不连通图来研究该蛋白质的能量景观,并将其与 Gō 模型进行比较,Gō 模型旨在通过去除所有非天然的吸引力相互作用来减少受挫。在受挫的能量景观中找到全局最小值是对全局优化技术的一个很好的测试,我们提出了计算评估该系统的 basin-hopping 和遗传算法的性能。并与广泛研究的 46 残基 BLN 蛋白进行了比较。我们表明,69 残基 BLN 蛋白的能量景观包含几个深漏斗,每个漏斗对应于不同的β-桶结构。

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