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使用电荷翻转技术和云计算从原子分辨率解析蛋白质的从头结构。

Ab initio structure solution of proteins at atomic resolution using charge-flipping techniques and cloud computing.

作者信息

Coelho Alan A

机构信息

72 Cedar Street, Wynnum, Brisbane, QLD 4178, Australia.

出版信息

Acta Crystallogr D Struct Biol. 2021 Jan 1;77(Pt 1):98-107. doi: 10.1107/S2059798320015090.

Abstract

Large protein structures at atomic resolution can be solved in minutes using charge-flipping techniques operating on hundreds of virtual machines (computers) on the Amazon Web Services cloud-computing platform driven by the computer programs TOPAS or TOPAS-Academic at a small financial cost. The speed of operation has allowed charge-flipping techniques to be investigated and modified, leading to two strategies that can solve a large range of difficult protein structures at atomic resolution. Techniques include the use of space-group symmetry restraints on the electron density as well as increasing the intensity of a randomly chosen high-intensity electron-density peak. It is also shown that the use of symmetry restraints increases the chance of finding a solution for low-resolution data. Finally, a flipping strategy that negates `uranium atom solutions' has been developed for structures that exhibit such solutions during charge flipping.

摘要

利用电荷翻转技术,在由计算机程序TOPAS或TOPAS-Academic驱动的亚马逊网络服务云计算平台上的数百台虚拟机(计算机)上运行,以较低的成本,只需几分钟就能解析出原子分辨率下的大型蛋白质结构。操作速度使得电荷翻转技术得以研究和改进,从而产生了两种能够在原子分辨率下解析一系列困难蛋白质结构的策略。这些技术包括对电子密度使用空间群对称约束,以及增强随机选择的高强度电子密度峰的强度。研究还表明,使用对称约束增加了从低分辨率数据中找到解决方案的机会。最后,针对在电荷翻转过程中出现此类解决方案的结构,开发了一种否定“铀原子解决方案”的翻转策略。

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