Surface-Constrained 3D Reconstruction in Cryo-EM.

Andrew C Barthel, Hemant Tagare, Fred J Sigworth
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引用次数: 1

Abstract

Random spherically-constrained (RSC) reconstruction is a new form of single particle reconstruction (SPR) using cryo-EM images of membrane proteins embedded in spherical lipid vesicles to generate a 3D protein structure. The method has many advantages over conventional SPR, including a more native environment for protein particles and an initial estimate of the particle's angular orientation. These advances allow us to determine structures of membrane proteins such as ion channels and derive more reliable structure estimates. We present an algorithm that relates conventional SPR to the RSC model, and generally, to projection images of particles embedded with an axis parallel to the local normal of a general 2D manifold. We illustrate the performance of this algorithm in the spherical system using synthetic data.
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Cryo-EM中表面约束的三维重建。
随机球形约束(RSC)重建是一种新的单颗粒重建(SPR)方法,利用膜蛋白嵌入球形脂质囊泡的低温电镜图像来生成三维蛋白质结构。与传统的SPR相比,该方法具有许多优点,包括蛋白质颗粒的原生环境和颗粒角取向的初始估计。这些进展使我们能够确定膜蛋白的结构,如离子通道,并得出更可靠的结构估计。我们提出了一种算法,将传统的SPR与RSC模型联系起来,并且通常与与一般二维流形的局部法线平行的轴嵌入的粒子的投影图像联系起来。我们用合成数据说明了该算法在球面系统中的性能。
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