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Number of results
2012 | 121 | 4 | 871-875

Article title

Data Processing Programs for Analysis of Diffraction Images of Macromolecular Crystals Recorded using Synchrotron Radiation

Authors

Content

Title variants

Languages of publication

EN

Abstracts

EN
Besides the crystal preparation, the first and crucial step in the process of protein structure determination is proper processing of the collected diffraction images, as they provide the experimental observations used throughout the entire process of structure solution and refinement. In the last two decades several computer programs have been developed. Among the most used and popular are: HKL2000, MOSFLM, d*TREK and XDS package. To find out the advantages and disadvantages of the data processing programs, several very different data sets, including diffraction data from DNA/RNA and protein crystals were tested. It has been found that all the major programs for processing and analysis of diffraction data give excellent and comparable results with good quality, medium resolution data sets, but their treatment of very high resolution or imperfect data differs in terms of indexing, spot integration, scaling and the treatment of errors. If the diffraction data are of good quality and the problem is relatively straightforward, the automated approach to data processing may be most appropriate. On the other hand, if one is trying to squeeze out as much information from the experimental data as possible, then only expert manual processing can be successful, regardless of the data quality.

Keywords

EN

Year

Volume

121

Issue

4

Pages

871-875

Physical description

Dates

published
2012-04

Contributors

author
  • Department of Crystallography, Faculty of Chemistry, A. Mickiewicz University, Grunwaldzka 6, Poznań 60-780, Poland
  • Center for Biocrystallographic Research, Institute of Bioorganic Chemistry, PAS, Noskowskiego 12/14, Poznań 61-704, Poland

References

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Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.bwnjournal-article-appv121n4p202kz
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