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RNA Structure Refinement Using the ERRASER-Phenix Pipeline.

Fang-Chieh Chou1, Nathaniel Echols, Thomas C Terwilliger

  • 1Department of Biochemistry, Stanford University, 279 Campus Drive, Stanford, CA, 94305, USA.

Methods in Molecular Biology (Clifton, N.J.)
|August 1, 2015
PubMed
Summary
This summary is machine-generated.

The ERRASER-Phenix pipeline automates RNA coordinate refinement in crystallography, improving model quality and data fit even with poor electron density. This tutorial covers its use via Phenix GUI, command-line, and ROSIE.

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Area of Science:

  • Structural Biology
  • Computational Biology
  • Biophysics

Background:

  • RNA crystallography requires fitting atomic coordinates into electron density maps.
  • The complexity of RNA's backbone atoms makes this process challenging, especially with low-resolution data.

Purpose of the Study:

  • To present a tutorial for the ERRASER-Phenix pipeline, an automated method for improving RNA crystallographic models.
  • To demonstrate the pipeline's ability to enhance geometric quality and data fit.

Main Methods:

  • The ERRASER-Phenix pipeline integrates Phenix (diffraction-based refinement) with ERRASER (Rosetta-based real-space refinement).
  • The protocol refines RNA coordinates using physically realistic atomic interaction models.

Main Results:

  • The combined ERRASER-Phenix approach improves the geometrical quality of RNA crystallographic models.
  • The pipeline maintains or enhances the fit to diffraction data, as indicated by R free values.

Conclusions:

  • ERRASER-Phenix offers an automated solution for challenging RNA coordinate fitting in crystallography.
  • Tutorials are provided for various platforms, including Phenix GUI, command-line, and the ROSIE web server.