Averaged kick maps: less noise, more signal…and probably less bias

By Jure Pražnikar, Pavel V. Afonine, G. Guncar, Paul D. Adams, D. Turk. 2009

62 citations recorded by the source corpus.

Averaged kick maps are the sum of a series of individual kick maps, where each map is calculated from atomic coordinates modified by random shifts. These maps offer the possibility of an improved and less model-biased map interpretation.

Subfields: Atomic and Molecular Physics, and Optics, Materials Chemistry, Molecular Biology

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In Atomic and Molecular Physics, and Optics

In Materials Chemistry

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Citations in the corpus

Towards automated crystallographic structure refinement with phenix.refine (2012, background): “Other map types can also be output, such as average kick maps (AK maps; Guncar et al., 2000; Turk, 2007; Pražnikar et al., 2009) and B-factor sharpened maps (see Brunger et al., 358 Afonine et al. phenix.refine Acta Cryst.”
RNA Structure Refinement using the ERRASER-Phenix pipeline (2013, methodology): “Here we demonstrate the process of creating the density map using the “calculate maps” GUI in Phenix (19).”
FEM: feature-enhanced map (2014, background): “(iii) Various kinds of OMIT maps (Bhat & Cohen, 1984; Bhat, 1988; Hodel et al., 1992; Gunčar et al., 2000; Vellieux & Dijkstra, 1997; Terwilliger et al., 2008; Pražnikar et al., 2009; Cowtan, 2012).”
Polder maps: improving OMIT maps by excluding bulk solvent (2017, background): “Various kinds of OMIT maps have been proposed (Bhat, 1988; Hodel et al., 1992; Vellieux & Dijkstra, 1997; Gunčar et al., 2000; Terwilliger, Grosse-Kunstleve, Afonine, Moriarty, Adams et al., 2008; Pražnikar et al., 2009).”