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Real-space refinement in PHENIX for cryo-EM and crystallography
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Abstract
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.
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Metadata
- Authors
- Afonine, P. V., Poon, B. K., Read, R. J., Sobolev, O. V., Terwilliger, T. C., Urzhumtsev, A., & Adams, P. D.
- Venue
- Acta Crystallographica Section D Structural Biology
- Published
- 2018-05-30
- Volume
- 74
- Issue
- 6
- Pages
- 531-544
- ISSN
- 2059-7983 (ISSN-L)
- OpenAlex
- W2786390877
- Cited by
- 3,281
- References
- 5
- FWCI
- 68.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Licence
- creativecommons.org/licenses/by/2.0/uk/legalcode (vor)
- creativecommons.org/licenses/by/2.0/uk/legalcode (tdm)
- Funders
- National Institutes of Health (GM063210)
- PHENIX Industrial Consortium
- U.S. Department of Energy (DE-AC02-05CH11231)
- French Infrastructure for Integrated Structural Biology (ANR-10-INBS-05)
- Wellcome Trust (082961/ Z/07/Z)
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