Journal
ACTA CRYSTALLOGRAPHICA SECTION D-STRUCTURAL BIOLOGY
Volume 78, Issue -, Pages 752-769Publisher
INT UNION CRYSTALLOGRAPHY
DOI: 10.1107/S2059798322004399
Keywords
xia2.multiplex; multi-crystal data sets; data processing; data analysis; partial data sets; SARS-CoV-2
Funding
- Diamond Light Source
- Diamond Light Source, STFC [283570]
- EU
- Wellcome Trust [202933/Z/16/Z, 218270/Z/19/Z]
- US National Institutes of Health [GM095887, GM117126]
- Wellcome Trust [202933/Z/16/Z, 218270/Z/19/Z] Funding Source: Wellcome Trust
Ask authors/readers for more resources
In macromolecular crystallography, data collection from a single crystal is limited by radiation damage. Thus, merging data sets from multiple crystals is necessary. A new program called xia2.multiplex has been developed to facilitate the scaling and merging of multi-crystal data sets, including symmetry analysis and analysis of factors affecting data quality.
In macromolecular crystallography, radiation damage limits the amount of data that can be collected from a single crystal. It is often necessary to merge data sets from multiple crystals; for example, small-wedge data collections from microcrystals, in situ room-temperature data collections and data collection from membrane proteins in lipidic mesophases. Whilst the indexing and integration of individual data sets may be relatively straightforward with existing software, merging multiple data sets from small wedges presents new challenges. The identification of a consensus symmetry can be problematic, particularly in the presence of a potential indexing ambiguity. Furthermore, the presence of nonisomorphous or poor-quality data sets may reduce the overall quality of the final merged data set. To facilitate and help to optimize the scaling and merging of multiple data sets, a new program, xia2.multiplex, has been developed which takes data sets individually integrated with DIALS and performs symmetry analysis, scaling and merging of multi-crystal data sets. xia2.multiplex also performs analysis of various pathologies that typically affect multi-crystal data sets, including non-isomorphism, radiation damage and preferential orientation. After the description of a number of use cases, the benefit of xia2.multiplex is demonstrated within a wider autoprocessing framework in facilitating a multicrystal experiment collected as part of in situ room-temperature fragment-screening experiments on the SARS-CoV-2 main protease.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available