Real-space refinement in <i>PHENIX</i> for cryo-EM and crystallography

Pavel V. Afonine(Shanghai University), Billy K. Poon(Lawrence Berkeley National Laboratory), Randy J. Read(University of Cambridge), Oleg V. Sobolev(Lawrence Berkeley National Laboratory), Thomas C. Terwilliger(Los Alamos National Laboratory), Alexandre Urzhumtsev(Centre National de la Recherche Scientifique), Paul D. Adams(Lawrence Berkeley National Laboratory)
Acta Crystallographica Section D Structural Biology
May 30, 2018
Cited by 3,681Open Access
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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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