Suppr超能文献

[关于球状蛋白质中折叠核的预测]

[On prediction of folding nuclei in globular proteins].

作者信息

Garbuzinskiĭ S A, Finkel'shteĭn A V, Galzitskaia O V

出版信息

Mol Biol (Mosk). 2005 Nov-Dec;39(6):1032-41.

Abstract

The approach described in this paper on the prediction of folding nuclei in globular proteins with known three dimensional structures is based on a search of the lowest saddle points through the barrier separating the unfolded state from the native structure on the free-energy landscape of protein chain. This search is performed by a dynamic programming method. Comparison of theoretical results with experimental data on the folding nuclei of two dozen of proteins shows that our model provides good phi value predictions for proteins whose structures have been determined by X-ray analysis, with a less limited success for proteins whose structures have been determined by NMR techniques only. Consideration of a full ensemble of transition states results in more successful prediction than consideration of only the transition states with the minimal free energy. In conclusion we have predicted the localization of folding nuclei for three dimensional protein structures for which kinetics of folding is studied now but the localization of folding nuclei is still unknown.

摘要

本文所描述的用于预测具有已知三维结构的球状蛋白质折叠核的方法,是基于在蛋白质链自由能景观上,通过分隔未折叠状态与天然结构的势垒来搜索最低鞍点。此搜索通过动态规划方法进行。将理论结果与二十多种蛋白质折叠核的实验数据相比较表明,对于那些结构已通过X射线分析确定的蛋白质,我们的模型能很好地预测φ值,而对于那些仅通过核磁共振技术确定结构的蛋白质,成功程度则较为有限。考虑完整的过渡态系综比仅考虑具有最小自由能的过渡态能带来更成功的预测。总之,我们已经预测了目前正在研究折叠动力学但其折叠核定位仍未知的三维蛋白质结构中折叠核的定位。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验