Likelihood-based signal and noise analysis for docking of models into cryo-EM maps Article Swipe
Randy J. Read
,
Claudia Millán
,
Airlie J. McCoy
,
Thomas C. Terwilliger
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.12.20.521171
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.12.20.521171
Fast, reliable docking of models into cryo-EM maps requires understanding of the errors in the maps and the models. Likelihood-based approaches to errors have proven to be powerful and adaptable in experimental structural biology, finding applications in both crystallography and cryo-EM. Indeed, previous crystallographic work on the errors in structural models is directly applicable to likelihood targets in cryo-EM. Likelihood targets in Fourier space are derived here to characterise, based on the comparison of half-maps, the direction- and resolution-dependent variation in the strength of both signal and noise in the data. Because the signal depends on local features, the signal and noise are analysed in local regions of the cryo-EM reconstruction. The likelihood analysis extends to prediction of the signal that will be achieved in any docking calculation for a model of specified quality and completeness. A related calculation generalises a previous measure of the information gained by making the cryo-EM reconstruction.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.12.20.521171
- https://www.biorxiv.org/content/biorxiv/early/2023/02/20/2022.12.20.521171.full.pdf
- OA Status
- green
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4312057934
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- OpenAlex ID
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https://openalex.org/W4312057934Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2022.12.20.521171Digital Object Identifier
- Title
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Likelihood-based signal and noise analysis for docking of models into cryo-EM mapsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-12-21Full publication date if available
- Authors
-
Randy J. Read, Claudia Millán, Airlie J. McCoy, Thomas C. TerwilligerList of authors in order
- Landing page
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https://doi.org/10.1101/2022.12.20.521171Publisher landing page
- PDF URL
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https://www.biorxiv.org/content/biorxiv/early/2023/02/20/2022.12.20.521171.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2023/02/20/2022.12.20.521171.full.pdfDirect OA link when available
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Computer science, Algorithm, Noise (video), SIGNAL (programming language), Artificial intelligence, Pattern recognition (psychology), Image (mathematics), Programming languageTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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