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.

Keywords

SuiteSpace (punctuation)Computer scienceResolution (logic)AlgorithmFunction (biology)Symmetry (geometry)Computational scienceGeometryMathematicsProgramming language

Affiliated Institutions

Related Publications

Publication Info

Year
2018
Type
article
Volume
74
Issue
6
Pages
531-544
Citations
3343
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

3343
OpenAlex

Cite This

Pavel V. Afonine, Billy K. Poon, Randy J. Read et al. (2018). Real-space refinement in <i>PHENIX</i> for cryo-EM and crystallography. Acta Crystallographica Section D Structural Biology , 74 (6) , 531-544. https://doi.org/10.1107/s2059798318006551

Identifiers

DOI
10.1107/s2059798318006551