Back to Search Start Over

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Authors :
Bart Van Laer
Stephanie Hutin
Gordon A. Leonard
Christoph Mueller-Dieckmann
Didier Nurizzo
Matthew W. Bowler
Source :
'Journal of Visualized Experiments ', vol: 145, pages: e59032-1-e59032-6 (2019)
Publication Year :
2019
Publisher :
MyJove Corporation, 2019.

Abstract

High-brilliance X-ray beams coupled with automation have led to the use of synchrotron-based macromolecular X-ray crystallography (MX) beamlines for even the most challenging projects in structural biology. However, most facilities still require the presence of a scientist on site to perform the experiments. A new generation of automated beamlines dedicated to the fully automatic characterization of, and data collection from, crystals of biological macromolecules has recently been developed. These beamlines represent a new tool for structural biologists to screen the results of initial crystallization trials and/or the collection of large numbers of diffraction data sets, without users having to control the beamline themselves. Here we show how to set up an experiment for automatic screening and data collection, how an experiment is performed at the beamline, how the resulting data sets are processed, and how, when possible, the crystal structure of the biological macromolecule is solved.

Details

ISSN :
1940087X
Database :
OpenAIRE
Journal :
Journal of Visualized Experiments
Accession number :
edsair.doi.dedup.....a7c1f4017bc496dd300fcc0fa1c070b2
Full Text :
https://doi.org/10.3791/59032