Difference between revisions of "2023Millan LL"
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Latest revision as of 06:50, 14 August 2023
Citation
Millán, Claudia / McCoy, Airlie J. / Terwilliger, Thomas C. / Read, Randy J. Likelihood-based docking of models into cryo-EM maps. 2023. Acta Crystallographica Section D: Structural Biology, Vol. 79. p. 281-289
Abstract
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 loglikelihood- 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.
Keywords
Links
https://scripts.iucr.org/cgi-bin/paper?vo5012
