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Likelihood-based docking of models into cryo-EM maps

Journal Article · · Acta Crystallographica. Section D. Structural Biology
 [1];  [2];  [3];  [2]
  1. University of Cambridge (United Kingdom); SciBite Limited, Cambridge (United Kingdom)
  2. University of Cambridge (United Kingdom)
  3. Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
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.
Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
National Institutes of Health (NIH); USDOE; Wellcome Trust
Grant/Contract Number:
89233218CNA000001
OSTI ID:
2470496
Journal Information:
Acta Crystallographica. Section D. Structural Biology, Journal Name: Acta Crystallographica. Section D. Structural Biology Journal Issue: 4 Vol. 79; ISSN 2059-7983
Publisher:
International Union of CrystallographyCopyright Statement
Country of Publication:
United States
Language:
English

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