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Challenge data set for macromolecular multi‐microcrystallography.

Authors :
Holton, James M.
Source :
Acta Crystallographica: Section D, Structural Biology. Feb2019, Vol. 75 Issue 2, p113-122. 10p.
Publication Year :
2019

Abstract

A synthetic data set demonstrating a particularly challenging case of indexing ambiguity in the context of radiation damage was generated. This set shall serve as a standard benchmark and reference point for the ongoing development of new methods and new approaches to robust structure solution when single‐crystal methods are insufficient. Of the 100 short wedges of data, only the first 36 are currently necessary to solve the structure by 'cheating', or using the correct reference structure as a guide. The total wall‐clock time and number of crystals required to solve the structure without cheating is proposed as a metric for the efficacy and efficiency of a given multi‐crystal automation pipeline. Synthetic macromolecular crystallography diffraction‐image data were generated to demonstrate the challenges of combining data from multiple crystals with indexing ambiguity in the context of heavy radiation damage. The nature of the problems encountered using contemporary data‐processing programs is summarized. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09074449
Volume :
75
Issue :
2
Database :
Academic Search Index
Journal :
Acta Crystallographica: Section D, Structural Biology
Publication Type :
Academic Journal
Accession number :
135078485
Full Text :
https://doi.org/10.1107/S2059798319001426