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Gentle and fast all-atom model refinement to cryo-EM densities via Bayes’ approach

Christian Blau, View ORCID ProfileLinnea Yvonnesdotter, View ORCID ProfileErik Lindahl
doi: https://doi.org/10.1101/2022.09.30.510249
Christian Blau
1KTH Royal Institute of Technology
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Linnea Yvonnesdotter
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Erik Lindahl
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  • For correspondence: erik.lindahl@gmail.com
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Article Information

doi 
https://doi.org/10.1101/2022.09.30.510249
History 
  • September 30, 2022.

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  • You are currently viewing Version 1 of this article (September 30, 2022 - 14:14).
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Christian Blau,
  2. Linnea Yvonnesdotter and
  3. Erik Lindahl*
  1. 1KTH Royal Institute of Technology
  2. 2Stockholm University
  1. ↵*Corresponding author; email: erik.lindahl{at}gmail.com
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Posted September 30, 2022.
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Gentle and fast all-atom model refinement to cryo-EM densities via Bayes’ approach
Christian Blau, Linnea Yvonnesdotter, Erik Lindahl
bioRxiv 2022.09.30.510249; doi: https://doi.org/10.1101/2022.09.30.510249
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Gentle and fast all-atom model refinement to cryo-EM densities via Bayes’ approach
Christian Blau, Linnea Yvonnesdotter, Erik Lindahl
bioRxiv 2022.09.30.510249; doi: https://doi.org/10.1101/2022.09.30.510249

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