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Data processing.

M G Rossmann1, C G van Beek

  • 1Department of Biological Sciences, Purdue University, West Lafayette, Indiana 47907-1392, USA. mgr@indiana.bio.purdue.edu

Acta Crystallographica. Section D, Biological Crystallography
|October 26, 1999
PubMed
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This study introduces a new autoindexing algorithm for X-ray diffraction data processing, improving upon existing methods. It also presents a novel procedure for scaling and post-refinement of data from frozen crystals, addressing challenges with limited full reflections.

Area of Science:

  • Crystallography
  • Structural Biology
  • Data Analysis

Background:

  • X-ray diffraction data processing involves several critical steps, including autoindexing, parameter refinement, and intensity integration.
  • The DENZO program's autoindexing algorithm set a high standard, but its methodology remains undescribed.
  • Scaling and post-refinement of data, especially from frozen crystals with limited full reflections, present significant challenges.

Purpose of the Study:

  • To develop and describe a novel autoindexing algorithm for X-ray diffraction data processing.
  • To create a robust procedure for scaling and post-refinement of diffraction data from frozen crystals.

Main Methods:

  • Development of a new autoindexing algorithm for X-ray diffraction data.
  • Implementation of a procedure for scaling and post-refinement of data, particularly for cases with limited full reflections.

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Main Results:

  • A new autoindexing algorithm has been developed, aiming to match or exceed the performance of existing standards like DENZO.
  • A procedure has been established to achieve satisfactory scaling and post-refinement results for challenging datasets, such as those from frozen crystals.

Conclusions:

  • The developed autoindexing algorithm offers a powerful new tool for X-ray diffraction data processing.
  • The new scaling and post-refinement procedure effectively addresses limitations encountered with frozen crystal data, enhancing structural determination.