Synchrotron X-Ray Diffraction Dynamic Sampling for Protein Crystal Centering.

Nicole M Scarborough, G M Dilshan P Godaliyadda, Dong Hye Ye, David J Kissick, Shijie Zhang, Justin A Newman, Michael J Sheedlo, Azhad Chowdhury, Robert F Fischetti, Chittaranjan Das, Gregery T Buzzard, Charles A Bouman, Garth J Simpson
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Abstract

A supervised learning approach for dynamic sampling (SLADS) was developed to reduce X-ray exposure prior to data collection in protein structure determination. Implementation of this algorithm allowed reduction of the X-ray dose to the central core of the crystal by up to 20-fold compared to current raster scanning approaches. This dose reduction corresponds directly to a reduction on X-ray damage to the protein crystals prior to data collection for structure determination. Implementation at a beamline at Argonne National Laboratory suggests promise for the use of the SLADS approach to aid in the analysis of X-ray labile crystals. The potential benefits match a growing need for improvements in automated approaches for microcrystal positioning.

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蛋白质晶体定心的同步加速器x射线衍射动态采样。
开发了一种用于动态采样(SLADS)的监督学习方法,以减少蛋白质结构测定数据收集之前的x射线暴露。与目前的光栅扫描方法相比,该算法的实现允许将晶体中心核心的x射线剂量减少多达20倍。这种剂量的减少直接对应于在收集结构测定数据之前对蛋白质晶体的x射线损伤的减少。在阿贡国家实验室的光束线上的实施表明,SLADS方法有望用于帮助分析x射线不稳定晶体。潜在的好处与日益增长的微晶体定位自动化方法改进的需求相匹配。
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