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• W4324304869 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 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." @default.
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• W4324304869 date "2023-03-15" @default.
• W4324304869 modified "2023-09-27" @default.
• W4324304869 title "Likelihood-based docking of models into cryo-EM maps" @default.
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• W4324304869 doi "https://doi.org/10.1107/s2059798323001602" @default.
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