The procedures used to solve a structure by means of x-ray crystallography are constantly optimized and rationalized. Not at least this development has lead to the introduction of robots, which are capable of setting crystallization experiments merely based on the input of a set of crystallization conditions. Whereas there are effective ways of setting up crystallization trials, the design of experiments seems still be based on only a limited amount of data, which has not been collected systematically. An important aspect of crystallization of biological macromolecules is the intelligent use of prior experimental experience. Many crystallography laboratories rely on commercially available screening kits and on the quality of the selected conditions. However, these kits were developed based on only a comparatively small number of experiments. Despite the very large number of crystallization experiments, which are being performed in the course of structural genomics initiatives there is with one exception until today no comprehensive publicly available database of crystallization conditions, which could be systematically used to evaluate crystallization probabilities. The exception is the "Biological Macromolecule Crystallization Database" (BMCD). 1; 2 The BMCD comprises crystallization conditions, which were collected from literature.
In order to be able to handle a large body of experiment variables, to vary parameters in an automated fashion and to make it possible to use the accumulated experience in an effective way I have developed the database system XtalBase that supports the experimenter in designing, setting up, monitoring, and evaluating crystallization
experiments.
1. Gilliland, G. L., Tung, M., Blakeslee, D. M. & Ladner, J. E. (1994). Biological Macromolecule Crystallization Database, Version 3.0: new features, data and the NASA archive for protein crystal growth data. Acta Cryst. D50, 408-13.
2. Gilliland, G. L., Tung, M. & Ladner, J. E. (2002). The Biological Macromolecule Crystallization Database: crystallization procedures and strategies. Acta Cryst. D58, 916-20.
3. Meining, W. (2006). XtalBase - A comprehensive data management system for macromolecular crystallography. J. Appl. Cryst. 39, 759-766.
4. Peat, T. S., Christopher, J. A. & Newman, J. (2005). Tapping the Protein Data Bank for crystallization information. Acta Cryst. 61, 1662-9.