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首页> 外文期刊>Communications Physics >A statistical approach to detect protein complexes at X-ray free electron laser facilities
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A statistical approach to detect protein complexes at X-ray free electron laser facilities

机译:一种在无X射线电子激光设施中检测蛋白质复合物的统计方法

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The Flash X-ray Imaging (FXI) technique, under development at X-ray free electron lasers (XFEL), aims to achieve structure determination based on diffraction from individual macromolecular complexes. We report an FXI study on the first protein complex—RNA polymerase II—ever injected at an XFEL. A successful 3D reconstruction requires a high number of observations of the sample in various orientations. The measured diffraction signal for many shots can be comparable to background. Here we present a robust and highly sensitive hit-identification method based on automated modeling of beamline background through photon statistics. It can operate at controlled false positive hit-rate of 3 × 10−5. We demonstrate its power in determining particle hits and validate our findings against an independent hit-identification approach based on ion time-of-flight spectra. We also validate the advantages of our method over simpler hit-identification schemes via tests on other samples and using computer simulations, showing a doubled hit-identification power.
机译:X射线自由电子激光器(XFEL)正在开发的Flash X射线成像(FXI)技术旨在基于来自单个大分子复合物的衍射来实现结构确定。我们报告了有史以来第一次在XFEL上注射的蛋白质复合物-RNA聚合酶II的FXI研究。成功的3D重建需要在不同方向上对样品进行大量观察。多次拍摄时测得的衍射信号可与背景媲美。在这里,我们提出了一种基于光子统计数据自动建立光束线背景的稳健且高度敏感的命中识别方法。它可以在3×10-5的受控假阳性命中率下工作。我们展示了其在确定粒子命中率方面的能力,并针对基于离子飞行时间谱的独立命中识别方法验证了我们的发现。通过对其他样本进行测试并使用计算机仿真,我们还证明了本方法相对于较简单的命中识别方案的优势,显示出两倍的命中识别能力。

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