This paper introduces CryoAlign, a novel method for accurate global and local alignment of cryo-EM density maps. CryoAlign leverages local density feature descriptors to capture spatial structural similarities, enabling fast and robust alignment parameter estimation. Extensive evaluations demonstrate its superiority over existing methods in terms of accuracy and speed.
Publisher
Nature Communications
Published On
Feb 21, 2024
Authors
Bintao He, Fa Zhang, Chenjie Feng, Jianyi Yang, Xin Gao, Renmin Han
Tags
Cryo-EM
density maps
global alignment
local alignment
feature descriptors
parameter estimation
accuracy
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