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使用高斯混合模型提高单颗粒冷冻电镜的分辨率和可分辨性

Improving Resolution and Resolvability of Single Particle CryoEM using Gaussian Mixture Models.

作者信息

Chen Muyuan, Schmid Michael F, Chiu Wah

出版信息

ArXiv. 2023 Aug 29:arXiv:2303.18241v2.

Abstract

Cryogenic electron microscopy is widely used in structural biology, but its resolution is often limited by the dynamics of the macromolecule. Here, we developed a refinement protocol based on Gaussian mixture models that integrates particle orientation and conformation estimation, and improves the alignment for flexible domains of protein structures. We demonstrated this protocol on multiple datasets, resulting in improved resolution and resolvability, locally and globally, by visual and quantitative measures.

摘要

低温电子显微镜在结构生物学中被广泛应用,但其分辨率常常受到大分子动力学的限制。在此,我们基于高斯混合模型开发了一种优化方案,该方案整合了颗粒取向和构象估计,并改善了蛋白质结构柔性结构域的比对。我们在多个数据集上验证了该方案,通过视觉和定量测量在局部和全局上提高了分辨率和可解析性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9661/10491338/b04f3d896bbb/nihpp-2303.18241v2-f0001.jpg

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