Establishing a training set through the visual analysis of crystallization trials. Part II: crystal examples

In the automated image analysis of crystallization experiments, representative examples of outcomes can be obtained rapidly. However, while the outcomes appear to be diverse, the number of crystalline outcomes can be small. To complement a training set from the visual observation of 147 456 crystall...

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Detalles Bibliográficos
Autores principales: Snell, Edward H., Lauricella, Angela M., Potter, Stephen A., Luft, Joseph R., Gulde, Stacey M., Collins, Robert J., Franks, Geoff, Malkowski, Michael G., Cumbaa, Christian, Jurisica, Igor, DeTitta, George T.
Formato: Texto
Lenguaje:English
Publicado: International Union of Crystallography 2008
Materias:
Research Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2631118/
https://www.ncbi.nlm.nih.gov/pubmed/19020351
http://dx.doi.org/10.1107/S0907444908028059
Descripción
Sumario:In the automated image analysis of crystallization experiments, representative examples of outcomes can be obtained rapidly. However, while the outcomes appear to be diverse, the number of crystalline outcomes can be small. To complement a training set from the visual observation of 147 456 crystallization outcomes, a set of crystal images was produced from 106 and 163 macromolecules under study for the North East Structural Genomics Consortium (NESG) and Structural Genomics of Pathogenic Protozoa (SGPP) groups, respectively. These crystal images have been combined with the initial training set. A description of the crystal-enriched data set and a preliminary analysis of outcomes from the data are described.

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