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Measuring local-directional resolution and local anisotropy in cryo-EM maps

Author

Listed:
  • Jose Luis Vilas

    (Centro Nacional de Biotecnologia (CNB-CSIC))

  • Hemant D. Tagare

    (Yale University)

  • Javier Vargas

    (McGill University)

  • Jose Maria Carazo

    (Centro Nacional de Biotecnologia (CNB-CSIC))

  • Carlos Oscar S. Sorzano

    (Centro Nacional de Biotecnologia (CNB-CSIC))

Abstract

The introduction of local resolution has enormously helped the understanding of cryo-EM maps. Still, for any given pixel it is a global, aggregated value, that makes impossible the individual analysis of the contribution of the different projection directions. We introduce MonoDir, a fully automatic, parameter-free method that, starting only from the final cryo-EM map, decomposes local resolution into the different projection directions, providing a detailed level of analysis of the final map. Many applications of directional local resolution are possible, and we concentrate here on map quality and validation.

Suggested Citation

  • Jose Luis Vilas & Hemant D. Tagare & Javier Vargas & Jose Maria Carazo & Carlos Oscar S. Sorzano, 2020. "Measuring local-directional resolution and local anisotropy in cryo-EM maps," Nature Communications, Nature, vol. 11(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-019-13742-w
    DOI: 10.1038/s41467-019-13742-w
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    Cited by:

    1. Jianfang Liu & Ewan K. S. McRae & Meng Zhang & Cody Geary & Ebbe Sloth Andersen & Gang Ren, 2024. "Non-averaged single-molecule tertiary structures reveal RNA self-folding through individual-particle cryo-electron tomography," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    2. Jiahua He & Peicong Lin & Ji Chen & Hong Cao & Sheng-You Huang, 2022. "Model building of protein complexes from intermediate-resolution cryo-EM maps with deep learning-guided automatic assembly," Nature Communications, Nature, vol. 13(1), pages 1-16, December.

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