Local computational methods to improve the interpretability and analysis of cryo-EM maps

Local computational methods to improve the interpretability and analysis of cryo-EM maps

Here, the authors present two local methods for analyzing cryo-EM maps: LocSpiral and LocBSharpen that enhance high-resolution features of cryoEM maps, while preventing map distortions. They also introduce LocBFactor and LocOccupancy, which allow obtaining local B-factors and electron density occupa...

Full description

Bibliographic Details
Main Authors: Satinder Kaur, Josue Gomez-Blanco, Ahmad A. Z. Khalifa, Swathi Adinarayanan, Ruben Sanchez-Garcia, Daniel Wrapp, Jason S. McLellan, Khanh Huy Bui, Javier Vargas
Format: Article
Language:English
Published: Nature Portfolio 2021-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-21509-5
Description
Summary:Here, the authors present two local methods for analyzing cryo-EM maps: LocSpiral and LocBSharpen that enhance high-resolution features of cryoEM maps, while preventing map distortions. They also introduce LocBFactor and LocOccupancy, which allow obtaining local B-factors and electron density occupancy maps from cryo-EM reconstructions and the authors demonstrate that these methods improve the interpretability and analysis of cryo-EM maps using different test cases among them recent SARS-CoV-2 spike glycoprotein structures.
ISSN:2041-1723

Similar Items