English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

PICKScreens, A New Database for the Comparison of Crystallization Screens for Biological Macromolecules

MPS-Authors
/persons/resource/persons137699

Hedderich,  Tanja
Department of Molecular Membrane Biology, Max Planck Institute of Biophysics, Max Planck Society;

/persons/resource/persons137792

Marcia,  Marco
Department of Molecular Membrane Biology, Max Planck Institute of Biophysics, Max Planck Society;

/persons/resource/persons137749

Köpke,  Jürgen
Department of Molecular Membrane Biology, Max Planck Institute of Biophysics, Max Planck Society;

/persons/resource/persons137800

Michel,  Hartmut
Department of Molecular Membrane Biology, Max Planck Institute of Biophysics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Hedderich, T., Marcia, M., Köpke, J., & Michel, H. (2011). PICKScreens, A New Database for the Comparison of Crystallization Screens for Biological Macromolecules. Crystal Growth & Design, 11(2), 488-491. doi:10.1021/cg101267n.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0024-D60B-A
Abstract
Extensive screening during crystallization trials is necessary, especially for challenging but interesting targets, that is, large multisubunit complexes or membrane proteins. Producing high amounts of such macromolecules is difficult, so it is important to perform screening efficiently. However, commercial screens are redundant, leading to unnecessary or unwanted sample consumption, and cannot be visually compared, because the manufacturers’ formulations are not formatted uniformly. PICKScreens, a database reporting Profile of Identities among Crystallization Kit Screens, will help crystallographers “pick” screens in a more rational manner, minimizing sample consumption and hopefully enhancing their success rate.