Literature DB >> 15930617

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

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.

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Year:  2005        PMID: 15930617     DOI: 10.1107/S0907444905000028

Source DB:  PubMed          Journal:  Acta Crystallogr D Biol Crystallogr        ISSN: 0907-4449


  8 in total

1.  Expression, purification and preliminary structural analysis of Escherichia coli MatP in complex with the matS DNA site.

Authors:  Dominique Durand; Ines Li de la Sierra-Gallay; Mark A Brooks; Andrew W Thompson; Noureddine Lazar; Johnny Lisboa; Herman van Tilbeurgh; Sophie Quevillon-Cheruel
Journal:  Acta Crystallogr Sect F Struct Biol Cryst Commun       Date:  2012-05-22

2.  Phoenito experiments: combining the strengths of commercial crystallization automation.

Authors:  Janet Newman; Tam M Pham; Thomas S Peat
Journal:  Acta Crystallogr Sect F Struct Biol Cryst Commun       Date:  2008-10-31

3.  Crystal structure of the yeast His6 enzyme suggests a reaction mechanism.

Authors:  Sophie Quevillon-Cheruel; Nicolas Leulliot; Marc Graille; Karine Blondeau; Joel Janin; Herman van Tilbeurgh
Journal:  Protein Sci       Date:  2006-06       Impact factor: 6.725

4.  Computational approaches to selecting and optimising targets for structural biology.

Authors:  Ian M Overton; Geoffrey J Barton
Journal:  Methods       Date:  2011-08-27       Impact factor: 3.608

5.  In situ proteolysis to generate crystals for structure determination: an update.

Authors:  Amy Wernimont; Aled Edwards
Journal:  PLoS One       Date:  2009-04-07       Impact factor: 3.240

6.  Protein flexibility, not disorder, is intrinsic to molecular recognition.

Authors:  Joël Janin; Michael J E Sternberg
Journal:  F1000 Biol Rep       Date:  2013-01-11

7.  Prediction of enzyme function based on 3D templates of evolutionarily important amino acids.

Authors:  David M Kristensen; R Matthew Ward; Andreas Martin Lisewski; Serkan Erdin; Brian Y Chen; Viacheslav Y Fofanov; Marek Kimmel; Lydia E Kavraki; Olivier Lichtarge
Journal:  BMC Bioinformatics       Date:  2008-01-11       Impact factor: 3.169

8.  De-orphaning the structural proteome through reciprocal comparison of evolutionarily important structural features.

Authors:  R Matthew Ward; Serkan Erdin; Tuan A Tran; David M Kristensen; Andreas Martin Lisewski; Olivier Lichtarge
Journal:  PLoS One       Date:  2008-05-07       Impact factor: 3.240

  8 in total

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