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Correcting pervasive errors in RNA crystallography through enumerative structure prediction.
- Source :
- Nature Methods; Jan2013, Vol. 10 Issue 1, p74-76, 3p, 1 Diagram, 1 Chart, 1 Graph
- Publication Year :
- 2013
-
Abstract
- Three-dimensional RNA models fitted into crystallographic density maps exhibit pervasive conformational ambiguities, geometric errors and steric clashes. To address these problems, we present enumerative real-space refinement assisted by electron density under Rosetta (ERRASER), coupled to Python-based hierarchical environment for integrated 'xtallography' (PHENIX) diffraction-based refinement. On 24 data sets, ERRASER automatically corrects the majority of MolProbity-assessed errors, improves the average R<subscript>free</subscript> factor, resolves functionally important discrepancies in noncanonical structure and refines low-resolution models to better match higher-resolution models. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15487091
- Volume :
- 10
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Nature Methods
- Publication Type :
- Academic Journal
- Accession number :
- 84622008
- Full Text :
- https://doi.org/10.1038/nmeth.2262