Improving resolution and resolvability of single-particle cryoEM structures using Gaussian mixture models.

Improving resolution and resolvability of single-particle cryoEM structures using Gaussian mixture models.
复制标题

使用高斯混合模型提高单粒子冷冻电镜结构的分辨率和可分辨性。

DOI:
10.1038/s41592-023-02082-9
复制
发表时间:
2024
期刊:
影响因子:
48
通讯作者:
Chiu,Wah
Chiu,Wah
中科院分区:
生物学1区
文献类型:
--
作者:
Chen,Muyuan;Schmid,MichaelF;Chiu,Wah

文献摘要

相似文献

低温电子显微镜在结构生物学中得到了广泛的应用,但其分辨率往往受到大分子动力学的限制。在此,我们开发了一种基于高斯混合模型的改进方案,该方案集成了颗粒取向和构象估计,并改善了蛋白质结构柔性区域的对齐。我们在多个数据集上演示了该协议,通过视觉和定量测量,提高了局部和全局的分辨率和可解析性。
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.