Accurate global and local 3D alignment of cryo-EM density maps using local spatial structural features.
Ontology highlight
ABSTRACT: Advances in cryo-electron microscopy (cryo-EM) imaging technologies have led to a rapidly increasing number of cryo-EM density maps. Alignment and comparison of density maps play a crucial role in interpreting structural information, such as conformational heterogeneity analysis using global alignment and atomic model assembly through local alignment. Here, we present a fast and accurate global and local cryo-EM density map alignment method called CryoAlign, that leverages local density feature descriptors to capture spatial structure similarities. CryoAlign is a feature-based cryo-EM map alignment tool, in which the employment of feature-based architecture enables the rapid establishment of point pair correspondences and robust estimation of alignment parameters. Extensive experimental ev
SUBMITTER: He B
PROVIDER: S-EPMC10881975 | biostudies-literature | 2024 Feb
REPOSITORIES: biostudies-literature
ACCESS DATA