2012
DOI: 10.1107/s0907444912001308
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Towards automated crystallographic structure refinement with phenix.refine

Abstract: phenix.refine is a program within the PHENIX package that supports crystallographic structure refinement against experimental data with a wide range of upper resolution limits using a large repertoire of model parameterizations. It has several automation features and is also highly flexible. Several hundred parameters enable extensive customizations for complex use cases. Multiple user-defined refinement strategies can be applied to specific parts of the model in a single refinement run. An intuitive graphical… Show more

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Cited by 5,056 publications
(4,549 citation statements)
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References 122 publications
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“…However, most of these were not well separated from other potential solutions in their respective searches, typically with two to four other candidate solutions giving LLG values at least 75% that of the top solution. The models giving the top 2 solutions (as judged by both TF-Z and LLG metrics) were used as a single ensemble for phase calculation followed by manual building using COOT 38 and reciprocal space refinement using phenix.refine 39 . Manual refinement was complemented by the use of ROSETTA refinement in Phenix 13 .…”
Section: Methodsmentioning
confidence: 99%
“…However, most of these were not well separated from other potential solutions in their respective searches, typically with two to four other candidate solutions giving LLG values at least 75% that of the top solution. The models giving the top 2 solutions (as judged by both TF-Z and LLG metrics) were used as a single ensemble for phase calculation followed by manual building using COOT 38 and reciprocal space refinement using phenix.refine 39 . Manual refinement was complemented by the use of ROSETTA refinement in Phenix 13 .…”
Section: Methodsmentioning
confidence: 99%
“…To address the issue of potential model bias, molecular replacement was repeated with H2A–H2B omitted from the search model. Each of the 24 protein chains were defined as individual rigid bodies and their position refined by rigid body refinement using the L–BFGS optimization method as implemented in phenix.refine (Afonine et al , 2012). B factors from the high‐resolution search models were maintained during the initial cycles of refinement and the initial model was used as both the starting and reference model for subsequent Deformable Elastic Network (DEN) refinement using CNS over a grid‐enabled web server hosted by SBGrid (Schroder et al , 2010; O'Donovan et al , 2012).…”
Section: Methodsmentioning
confidence: 99%
“…Phases were initially obtained by molecular replacement using Phaser,48 with the structure of PI4KIIIβ bound to PIK‐93 and Rab11 (pdb code: 4D0L) used as the search model. The final model of Apo PI4KIIIβ bound to Rab11 was built using iterative model building in COOT49 and refinement using Phenix50, 51 to R work  = 21.6 and R free  = 24.6. The final model of PI4KIIIβ bound to BQR695 in complex with GDP loaded Rab11 was refined to R work =25.5 and R free  = 28.6.…”
Section: Methodsmentioning
confidence: 99%