AI-guided cryo-EM analysis untangles uromodulin lattices that safeguard kidneys

IF 4.4 2区生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Structure Pub Date : 2025-07-03 DOI:10.1016/j.str.2025.06.003

Kelvin Han Chung Chong, Bin Wu

引用次数: 0

Abstract

In this issue of Structure, Chang et al.¹ combined deep-learning cryoelectron microscopy (cryo-EM) particle picking and heterogeneous refinement to obtain structures of human uromodulin filament lattices that were isolated from urine samples. This work is an excellent example of AI-facilitated data processing of bulky semi-purified biological samples that likely will be commonly used in the future.

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人工智能引导的低温电镜分析解开了保护肾脏的尿调蛋白晶格

在本期的《结构》杂志中，Chang等人将深度学习冷冻电子显微镜（cryo-EM）颗粒拾取和异质精化相结合，获得了从尿液样本中分离出来的人类尿调蛋白细丝晶格的结构。这项工作是人工智能促进大体积半纯化生物样品数据处理的一个很好的例子，未来可能会被广泛使用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Structure 生物-生化与分子生物学

CiteScore

8.90

自引率

1.80%

发文量

155

审稿时长

3-8 weeks

期刊介绍： Structure aims to publish papers of exceptional interest in the field of structural biology. The journal strives to be essential reading for structural biologists, as well as biologists and biochemists that are interested in macromolecular structure and function. Structure strongly encourages the submission of manuscripts that present structural and molecular insights into biological function and mechanism. Other reports that address fundamental questions in structural biology, such as structure-based examinations of protein evolution, folding, and/or design, will also be considered. We will consider the application of any method, experimental or computational, at high or low resolution, to conduct structural investigations, as long as the method is appropriate for the biological, functional, and mechanistic question(s) being addressed. Likewise, reports describing single-molecule analysis of biological mechanisms are welcome. In general, the editors encourage submission of experimental structural studies that are enriched by an analysis of structure-activity relationships and will not consider studies that solely report structural information unless the structure or analysis is of exceptional and broad interest. Studies reporting only homology models, de novo models, or molecular dynamics simulations are also discouraged unless the models are informed by or validated by novel experimental data; rationalization of a large body of existing experimental evidence and making testable predictions based on a model or simulation is often not considered sufficient.