Real-space refinement inPHENIXfor cryo-EM and crystallography

Author:

Afonine Pavel V.ORCID,Poon Billy K.ORCID,Read Randy J.ORCID,Sobolev Oleg V.,Terwilliger Thomas C.,Urzhumtsev Alexandre,Adams Paul D.

Abstract

This article describes the implementation of real-space refinement in thephenix.real_space_refineprogram from thePHENIXsuite. 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_refinemakes 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.

Funder

National Institutes of Health

PHENIX Industrial Consortium

U.S. Department of Energy

French Infrastructure for Integrated Structural Biology

Wellcome Trust

Publisher

International Union of Crystallography (IUCr)

Subject

Structural Biology

Reference87 articles.

1. PHENIX: a comprehensive Python-based system for macromolecular structure solution

2. Towards automated crystallographic structure refinement with phenix.refine

3. Automatic multiple-zone rigid-body refinement with a large convergence radius

4. Afonine, P. V., Headd, J. J., Terwilliger, T. C. & Adams, P. D. (2013). Comput. Crystallogr. Newsl. 4, 43-44. https://www.phenix-online.org/newsletter/CCN_2013_07.pdf.

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