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

• Published in: Nature communications Vol. 12; no. 1; pp. 1240 - 12
• Main Authors: Kaur, Satinder, Gomez-Blanco, Josue, Khalifa, Ahmad A. Z., Adinarayanan, Swathi, Sanchez-Garcia, Ruben, Wrapp, Daniel, McLellan, Jason S., Bui, Khanh Huy, Vargas, Javier
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 23.02.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 101/28; 631/1647/328/1259; 631/1647/794; 631/45/535; 631/535/1258/1259; Algorithms; Computer applications; Electron density; Electron microscopy; Electrons; Glycoproteins; High resolution; Humanities and Social Sciences; multidisciplinary; Occupancy; Phase transitions; Science; Science (multidisciplinary); Severe acute respiratory syndrome coronavirus 2; Sharpening; Spike glycoprotein

Cryo-electron microscopy (cryo-EM) maps usually show heterogeneous distributions of B -factors and electron density occupancies and are typically B -factor sharpened to improve their contrast and interpretability at high-resolutions. However, ‘over-sharpening’ due to the application of a single glob...