Literature DB >> 24076763

Improved low-resolution crystallographic refinement with Phenix and Rosetta.

Frank DiMaio1, Nathaniel Echols, Jeffrey J Headd, Thomas C Terwilliger, Paul D Adams, David Baker.   

Abstract

Refinement of macromolecular structures against low-resolution crystallographic data is limited by the ability of current methods to converge on a structure with realistic geometry. We developed a low-resolution crystallographic refinement method that combines the Rosetta sampling methodology and energy function with reciprocal-space X-ray refinement in Phenix. On a set of difficult low-resolution cases, the method yielded improved model geometry and lower free R factors than alternate refinement methods.

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Mesh:

Year:  2013        PMID: 24076763      PMCID: PMC4116791          DOI: 10.1038/nmeth.2648

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  32 in total

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Journal:  Methods Enzymol       Date:  2013       Impact factor: 1.600

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

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Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2010-01-22

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Authors:  Jeffrey J Headd; Nathaniel Echols; Pavel V Afonine; Ralf W Grosse-Kunstleve; Vincent B Chen; Nigel W Moriarty; David C Richardson; Jane S Richardson; Paul D Adams
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2012-03-16
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