Likelihood-based docking of models into cryo-EM maps Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1107/s2059798323001602
Optimized docking of models into cryo-EM maps requires exploiting an understanding of the signal expected in the data to minimize the calculation time while maintaining sufficient signal. The likelihood-based rotation function used in crystallography can be employed to establish plausible orientations in a docking search. A phased likelihood translation function yields scores for the placement and rigid-body refinement of oriented models. Optimized strategies for choices of the resolution of data from the cryo-EM maps to use in the calculations and the size of search volumes are based on expected log-likelihood-gain scores computed in advance of the search calculation. Tests demonstrate that the new procedure is fast, robust and effective at placing models into even challenging cryo-EM maps.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1107/s2059798323001602
- https://journals.iucr.org/d/issues/2023/04/00/vo5012/vo5012.pdf
- OA Status
- hybrid
- Cited By
- 18
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4324304869
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4324304869Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1107/s2059798323001602Digital Object Identifier
- Title
-
Likelihood-based docking of models into cryo-EM mapsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-02Full publication date if available
- Authors
-
Claudia Millán, Airlie J. McCoy, Thomas C. Terwilliger, Randy J. ReadList of authors in order
- Landing page
-
https://doi.org/10.1107/s2059798323001602Publisher landing page
- PDF URL
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https://journals.iucr.org/d/issues/2023/04/00/vo5012/vo5012.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://journals.iucr.org/d/issues/2023/04/00/vo5012/vo5012.pdfDirect OA link when available
- Concepts
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Likelihood function, Computer science, Algorithm, Maximum likelihood, Docking (animal), Translation (biology), Artificial intelligence, Data mining, Estimation theory, Mathematics, Statistics, Nursing, Medicine, Gene, Messenger RNA, Chemistry, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
18Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 8, 2023: 5Per-year citation counts (last 5 years)
- References (count)
-
32Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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