Nature Communications (Feb 2021)

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

  • Satinder Kaur,
  • Josue Gomez-Blanco,
  • Ahmad A. Z. Khalifa,
  • Swathi Adinarayanan,
  • Ruben Sanchez-Garcia,
  • Daniel Wrapp,
  • Jason S. McLellan,
  • Khanh Huy Bui,
  • Javier Vargas

DOI
https://doi.org/10.1038/s41467-021-21509-5
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 12

Abstract

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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.