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Automated pipelines for compound and fragment screening in Grenoble

 

 fig5-CDK2paper copy

 The EMBL Grenoble, the ESRF and the iNEXT consortium are jointly offering access to automated pipelines for compound and fragment screening based on the CrystalDirect[1] technology and the MASSIF[2] beamlines. Access to these pipelines can be obtained through the E.C. H2020 project iNEXT (www.inext-eu.org). Applications will be reviewed by the iNEXT scientific review panel in collaboration with the ESRF MX Beamtime Allocation Panel.

 

These pipelines are offered in two forms:

  •  Compound Screening Pipeline: Automated screening via X-ray crystallography of a collection of small molecule ligands identified through previous assays (i.e in silico screening, activity assays, SPR, etc.). Applicants must be able to provide the compound collection, pure protein in sufficient amounts and well-established and robust crystallization conditions.

     

  •  Fragment Screening pipeline: Automated large scale fragment screening via X-ray crystallography. The fragment collection will normally be provided by the Grenoble facility although screening of user provided libraries is also possible. Applicants must be able to provide pure protein in sufficient amounts and well-established and robust crystallization conditions.

 

 Additionally, we are also offering access to an Integrated Macromolecular Crystallography pipeline offering fully automated, remote controlled access to crystallization screening, optimization of crystal conditions, automated crystal mounting and cryocooling (based on EMBL's CrystalDirect technology and automated (or manual) data collection at the ESRF MASSIF-1 or MASSIF-3 beamlines.

 

Application guidelines for:

To apply visit the iNEXT web page (www.inext-eu.org) or This email address is being protected from spambots. You need JavaScript enabled to view it..

 

References:

1. Automated harvesting and processing of protein crystals through laser photoablation Zander, U., Hoffmann, G., ... & Marquez, J. A. (2016). Acta Cryst. D72, 454-466, doi:10.1107/S2059798316000954

2. Svensson O, Monaco S, Popov AN, Nurizzo D, Bowler MW (2015). The fully automatic characterization and data collection from crystals of biological macromolecules, Acta Cryst. D71, 1757-1767, doi:10.1107/S1399004715011918