High-throughput crystal-optimization strategies in the South Paris Yeast Structural Genomics Project: one size fits all?
Crystallization has long been regarded as one of the major bottlenecks in high-throughput structural determination by X-ray crystallography. Structural genomics projects have addressed this issue by using robots to set up automated crystal screens using nanodrop technology. This has moved the bottleneck from obtaining the first crystal hit to obtaining diffraction-quality crystals, as crystal optimization is a notoriously slow process that is difficult to automatize. This article describes the high-throughput optimization strategies used in the Yeast Structural Genomics project, with selected successful examples.
Leulliot
Nicolas
N
Institut de Biochimie et de Biophysique Moléculaire et Cellulaire (CNRS-UMR 8619), Université Paris-Sud, Bâtiment 430, 91405 Orsay, France. nicolas.leulliot@ibbmc.u-psud.fr
Trésaugues
Lionel
L
Bremang
Michael
M
Sorel
Isabelle
I
Ulryck
Nathalie
N
Graille
Marc
M
Aboulfath
Ilham
I
Poupon
Anne
A
Liger
Dominique
D
Quevillon-Cheruel
Sophie
S
Janin
Joël
J
van Tilbeurgh
Herman
H
D018360:Crystallography, X-Ray / Q000295:instrumentation / Q000379:methods*; D023281:Genomics / Q000295:instrumentation / Q000379:methods*; D012371:Robotics / Q000379:methods*; D012441:Saccharomyces cerevisiae / Q000737:chemistry* / Q000235:genetics; D029701:Saccharomyces cerevisiae Proteins / Q000737:chemistry* / Q000235:genetics
D029701:Saccharomyces cerevisiae Proteins