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距离相关统计势能用于区分嗜热蛋白和嗜中温蛋白。

Distance-dependent statistical potentials for discriminating thermophilic and mesophilic proteins.

机构信息

Applied Bioinformatics Laboratory, University of Kansas, Lawrence, KS 66047, USA.

出版信息

Biochem Biophys Res Commun. 2010 Jun 4;396(3):736-41. doi: 10.1016/j.bbrc.2010.05.005. Epub 2010 May 6.

Abstract

Identification of the characteristic structural patterns responsible for protein thermostability is theoretically important and practically useful but largely remains an open problem. These patterns may be revealed through comparative study on thermophilic and mesophilic proteins that have distinct thermostability. In this study, we constructed several distance-dependant potentials from thermophilic and mesophilic proteins. These potentials were then used to evaluate the structural difference between thermophilic and mesophilic proteins. We found that using the subtraction or division of the potentials derived from thermophilic and mesophilic proteins can dramatically increase the discriminatory ability. This approach revealed that the ability to distinct the subtle structural features responsible for protein thermostability may be effectively enhanced through rationally designed comparative study.

摘要

确定导致蛋白质热稳定性的特征结构模式在理论上很重要,在实践中也很有用,但在很大程度上仍然是一个未解决的问题。这些模式可以通过对具有明显热稳定性的嗜热蛋白和嗜中温蛋白进行比较研究来揭示。在这项研究中,我们从嗜热蛋白和嗜中温蛋白中构建了几种依赖距离的势函数。然后,这些势函数被用来评估嗜热蛋白和嗜中温蛋白之间的结构差异。我们发现,通过从嗜热蛋白和嗜中温蛋白中减去或除以势函数,可以显著提高区分能力。这种方法表明,通过合理设计的比较研究,可以有效地增强区分导致蛋白质热稳定性的细微结构特征的能力。

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