Home /Research /High-throughput crystal-optimization strategies in the South Paris Yeast Structural Genomics Project: one size fits all?
OTHER

High-throughput crystal-optimization strategies in the South Paris Yeast Structural Genomics Project: one size fits all?

Nicolas Leulliot, L. Tresaugues, Michael Bremang, Isabelle Sorel, Nathalie Ulryck, Marc Graille, Ilham Aboulfath, Anne Poupon, Dominique Liger, Sophie Quevillon‐Chéruel, Joël Janin, Herman van Tilbeurgh

Year
2005
Citations
15

Abstract

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.

Keywords

BottleneckStructural genomicsThroughputGenomicsComputer scienceSet (abstract data type)Crystal (programming language)CrystallizationProcess (computing)Computational biology

Related papers

Browse all OTHER papers