Nature Communications (Jan 2023)

Estimating conformational landscapes from Cryo-EM particles by 3D Zernike polynomials

  • D. Herreros,
  • R. R. Lederman,
  • J. M. Krieger,
  • A. Jiménez-Moreno,
  • M. Martínez,
  • D. Myška,
  • D. Strelak,
  • J. Filipovic,
  • C. O. S. Sorzano,
  • J. M. Carazo

DOI
https://doi.org/10.1038/s41467-023-35791-y
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 10

Abstract

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Conformational heterogeneity is key to understand how macromolecular function and structure converge. Here, the authors propose an algorithm designed to estimate structural landscapes directly from Cryo-EM particle images.