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2014 ; 70
(Pt 6
): 686-96
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Automation in biological crystallization
#MMPMID24915074
Stewart PS
; Mueller-Dieckmann J
Acta Crystallogr F Struct Biol Commun
2014[Jun]; 70
(Pt 6
): 686-96
PMID24915074
show ga
Crystallization remains the bottleneck in the crystallographic process leading
from a gene to a three-dimensional model of the encoded protein or RNA.
Automation of the individual steps of a crystallization experiment, from the
preparation of crystallization cocktails for initial or optimization screens to
the imaging of the experiments, has been the response to address this issue.
Today, large high-throughput crystallization facilities, many of them open to the
general user community, are capable of setting up thousands of crystallization
trials per day. It is thus possible to test multiple constructs of each target
for their ability to form crystals on a production-line basis. This has improved
success rates and made crystallization much more convenient. High-throughput
crystallization, however, cannot relieve users of the task of producing samples
of high quality. Moreover, the time gained from eliminating manual preparations
must now be invested in the careful evaluation of the increased number of
experiments. The latter requires a sophisticated data and laboratory
information-management system. A review of the current state of automation at the
individual steps of crystallization with specific attention to the automation of
optimization is given.
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