Real-space refinement in PHENIX for cryo-EM and crystallography
Уточнение в реальном пространстве в PHENIX для криоэлектронной микроскопии и кристаллографии
2018-05-30
SCID: 54.1/j2f8j6ag
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PHENIXcryo-EMdata-restraint weightsreal-space refinementsecondary-structure restraints
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Abstract (AI)
This article describes the implementation of real-space refinement in the phenix.real_space_refine program from the PHENIX suite. The use of a simplified refinement target function enables very fast calculation, which in turn makes it possible to identify optimal data-restraint weights as part of routine refinements with little runtime cost. Refinement of atomic models against low-resolution data benefits from the inclusion of as much additional information as is available. In addition to standard restraints on covalent geometry, phenix.real_space_refine makes use of extra information such as secondary-structure and rotamer-specific restraints, as well as restraints or constraints on internal molecular symmetry. The re-refinement of 385 cryo-EM-derived models available in the Protein Data Bank at resolutions of 6 Å or better shows significant improvement of the models and of the fit of these models to the target maps.
Key Findings
1
A simplified refinement target enables very fast calculations, allowing routine optimization of data-restraint weights with minimal runtime cost.
2
PHENIX implements real-space refinement for cryo-EM and crystallographic models through the phenix.real_space_refine program.
3
Re-refinement of 385 cryo-EM-derived Protein Data Bank models at resolutions of 6 Å or better significantly improved model quality and fit to target maps.
4
The method supplements covalent-geometry restraints with secondary-structure, rotamer-specific, and internal molecular-symmetry restraints or constraints.
Research Object
atomic models refined against cryo-EM maps and crystallographic data, particularly low-resolution cryo-EM-derived models
Research Subject
the accuracy and map fit of atomic models improved through real-space refinement with data-restraint weighting and structural restraints
Publication Details
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2018-05-30
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References available in scid.ai6
The Protein Data Bank2000
Coot : model-building tools for molecular graphics2004
Features and development of Coot2010
PHENIX : a comprehensive Python-based system for macromolecular structure solution2010
MolProbity : all-atom structure validation for macromolecular crystallography2009
PHENIX: a comprehensive Python-based system for macromolecular structure solution2012
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