Practical experimental design techniques for automatic and manual protein crystallization

When crystallizers are searching for the optimum crystallization conditions, they often carry out experiments that are confusing and difficult to interpret. This confusion arises because there are several important variables in any protein crystallization experiment (including protein concentration,...

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Bibliographic Details
Published in:Journal of crystal growth 1999-01, Vol.196 (2), p.665-673
Main Authors: Shaw Stewart, Patrick D., Baldock, Peter F.M.
Format: Article
Language:English
Subjects:
Analytical, structural and metabolic biochemistry
Automation of crystallization
Biological and medical sciences
Box–Behnken design
Central composite design
Fundamental and applied biological sciences. Psychology
General aspects, investigation methods
Multidimensional experimental designs
Multivariate experimental designs
Proteins
Software for experimental design
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Summary:When crystallizers are searching for the optimum crystallization conditions, they often carry out experiments that are confusing and difficult to interpret. This confusion arises because there are several important variables in any protein crystallization experiment (including protein concentration, precipitant concentration, pH and temperature) and these variables often interact–that is to say, changes in the level of one variable often change the optimum settings of the others. Confusion can be avoided by using appropriate experimental designs where all of the important variables are varied in each experimental run. Some well known and practical designs for automatic and manual crystallization are presented, and a simple practical example is given.
ISSN:0022-0248
1873-5002
DOI:10.1016/S0022-0248(98)00854-9