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PMID: 18481394 Published · ppublish English Journal Article

Free R value: a novel statistical quantity for assessing the accuracy of crystal structures.

Nature ·Vol. 355 ·No. 6359 ·1992-01-30 ·Pages 472-5

Brünger AT

Abstract

The determination of macromolecular structure by crystallography involves fitting atomic models to the observed diffraction data. The traditional measure of the quality of this fit, and presumably the accuracy of the model, is the R value. Despite stereochemical restraints, it is possible to overfit or 'misfit' the diffraction data: an incorrect model can be refined to fairly good R values as several recent examples have shown. Here I propose a reliable and unbiased indicator of the accuracy of such models. By analogy with the cross-validation method of testing statistical models I define a statistical quantity (R(free) (T) that measures the agreement between observed and computed structure factor amplitudes for a 'test' set of reflections that is omitted in the modelling and refinement process. As examples show, there is a high correlation between R(free) (T) and the accuracy of the atomic model phases. This is useful because experimental phase information is usually inaccurate, incomplete or unavailable. I expect that R(free) (T) will provide a measure of the information content of recently proposed models of thermal motion and disorder, time-averaging and bulk solvent.

MeSH Terms
Crystallography, X-Ray/statistics & numerical data Models, Statistical Molecular Structure Scattering, Radiation
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Brünger A T
Howard Hughes Medical Institute, Department of Molecular Biophysics and Biochemistry, Yale University, New Haven 06511, USA.
Article Info
Journal
Nature
Abbr.
Nature
ISSN
0028-0836
Published
1992-01-30
Pages
472-5
Language
English
Region
England
NLM ID
0410462
Subset
IM
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