| Literature DB >> 15930617 |
Nicolas Leulliot1, Lionel Trésaugues, Michael Bremang, Isabelle Sorel, Nathalie Ulryck, Marc Graille, Ilham Aboulfath, Anne Poupon, Dominique Liger, Sophie Quevillon-Cheruel, Joël Janin, Herman van Tilbeurgh.
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.Entities:
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Year: 2005 PMID: 15930617 DOI: 10.1107/S0907444905000028
Source DB: PubMed Journal: Acta Crystallogr D Biol Crystallogr ISSN: 0907-4449