Segmentation and registration of molecular components in 3-dimensional density maps from cryo-electron microscopy

[摘要] (cont.) The registrations are refined using a gradient-based method, which locally optimizes the density cross-correlation score. A search algorithm is presented for automatically finding groups of regions that produce correct registrations. The accuracy of these registration methods is measured using simulated density maps, and then the methods are used to register structures of individual proteins and subunits with density maps obtained by cryo-electron microscopy.

[发布机构] Massachusetts Institute of Technology