Literature DB >> 15242598

Automated analysis of vapor diffusion crystallization drops with an X-ray beam.

Lilian Jacquamet1, Jeremy Ohana, Jacques Joly, Franck Borel, Michel Pirocchi, Philippe Charrault, Alain Bertoni, Pascale Israel-Gouy, Philippe Carpentier, Frank Kozielski, Delphine Blot, Jean-Luc Ferrer.   

Abstract

Crystallogenesis, usually based on the vapor diffusion method, is currently considered one of the most difficult steps in macromolecular X-ray crystallography. Due to the increasing number of crystallization assays performed by protein crystallographers, several automated analysis methods are under development. Most of these methods are based on microscope images and shape recognition. We propose an alternative method of identifying protein crystals: by directly exposing the crystallization drops to an X-ray beam. The resulting diffraction provides far more information than classical microscope images. Not only is the presence of diffracting crystals revealed, but also a first estimation of the space group, cell parameters, and mosaicity is obtained. In certain cases, it is also possible to collect enough data to verify the presence of a specific substrate or a heavy atom. All these steps are performed without the sometimes tedious necessity of removing crystals from their crystallization drop.

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Year:  2004        PMID: 15242598     DOI: 10.1016/j.str.2004.04.019

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  27 in total

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8.  Graphene-based microfluidics for serial crystallography.

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9.  Approaches to automated protein crystal harvesting.

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