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Towards automated crystallographic structure refinement with phenix.refine.


ABSTRACT: phenix.refine is a program within the PHENIX package that supports crystallographic structure refinement against experimental data with a wide range of upper resolution limits using a large repertoire of model parameterizations. It has several automation features and is also highly flexible. Several hundred parameters enable extensive customizations for complex use cases. Multiple user-defined refinement strategies can be applied to specific parts of the model in a single refinement run. An intuitive graphical user interface is available to guide novice users and to assist advanced users in managing refinement projects. X-ray or neutron diffraction data can be used separately or jointly in refinement. phenix.refine is tightly integrated into the PHENIX suite, where it serves as a critical component in automated model building, final structure refinement, structure validation and deposition to the wwPDB. This paper presents an overview of the major phenix.refine features, with extensive literature references for readers interested in more detailed discussions of the methods.

SUBMITTER: Afonine PV 

PROVIDER: S-EPMC3322595 | biostudies-literature | 2012 Apr

REPOSITORIES: biostudies-literature

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Towards automated crystallographic structure refinement with phenix.refine.

Afonine Pavel V PV   Grosse-Kunstleve Ralf W RW   Echols Nathaniel N   Headd Jeffrey J JJ   Moriarty Nigel W NW   Mustyakimov Marat M   Terwilliger Thomas C TC   Urzhumtsev Alexandre A   Zwart Peter H PH   Adams Paul D PD  

Acta crystallographica. Section D, Biological crystallography 20120316 Pt 4


phenix.refine is a program within the PHENIX package that supports crystallographic structure refinement against experimental data with a wide range of upper resolution limits using a large repertoire of model parameterizations. It has several automation features and is also highly flexible. Several hundred parameters enable extensive customizations for complex use cases. Multiple user-defined refinement strategies can be applied to specific parts of the model in a single refinement run. An intu  ...[more]

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