Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Iterative screen optimization maximizes the efficiency of macromolecular crystallization

Harrison G. Jones, Daniel Wrapp, Morgan S. A. Gilman, Michael B. Battles, Nianshuang Wang, Sofia Sacerdote, Gwo-Yu Chuang, Peter D. Kwong, Jason S. McLellan

Acta Crystallographica Section F Structural Biology Communications · 2019

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Summary

Advances in X-ray crystallography have streamlined the process of determining high-resolution three-dimensional macromolecular structures. However, a rate-limiting step in this process continues to be the generation of crystals that are of sufficient size and quality for subsequent diffraction experiments. Here, iterative screen optimization (ISO), a highly automated process in which the precipitant concentrations of each condition in a crystallization screen are modified based on the results of a prior crystallization experiment, is described. After designing a novel high-throughput crystallization screen to take full advantage of this method, the value of ISO is demonstrated by using it to successfully crystallize a panel of six diverse proteins. The results suggest that ISO is an effect

Source type
Peer-reviewed study
DOI
10.1107/s2053230x18017338
Catalogue ID
BFmobghs0w-02vbne
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