AI-guided cryo-EM analysis untangles uromodulin lattices that safeguard kidneys
Kelvin Han Chung Chong1, Bin Wu2
1School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore 636921, Singapore.
Structure (London, England : 1993)
|July 4, 2025
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.


