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Iterative screen optimization maximizes the efficiency of macromolecular crystallization.


ABSTRACT: 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 effective method to obtain macromolecular crystals, particularly for proteins that crystallize under a narrow range of precipitant concentrations.

SUBMITTER: Jones HG 

PROVIDER: S-EPMC6360444 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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Iterative screen optimization maximizes the efficiency of macromolecular crystallization.

Jones Harrison G HG   Wrapp Daniel D   Gilman Morgan S A MSA   Battles Michael B MB   Wang Nianshuang N   Sacerdote Sofia S   Chuang Gwo Yu GY   Kwong Peter D PD   McLellan Jason S JS  

Acta crystallographica. Section F, Structural biology communications 20190124 Pt 2


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  ...[more]

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