Search

Using a high degree of automation, the crystallography core at the Southeast Collaboratory for Structural Genomics (SECSG) has developed a high-throughput protein-to-structure pipeline. Various robots and automation procedures have been adopted and integrated into a pipeline that is capable of screening 40 proteins for crystallization and solving four protein structures per week. This pipeline is composed of three major units: crystallization, structure determination/validation and crystallomics. Coupled with the protein-production cores at SECSG, the protein-to-structure pipeline provides a two-tiered approach for protein production at SECSG. In tier 1, all protein samples supplied by the protein-production cores pass through the pipeline using standard crystallization screening and optimization procedures. The protein targets that failed to yield diffraction-quality crystals (resolution better than 3.0 Å) become tier 2 or salvaging targets. The goal of tier 2 target salvaging, carried out by the crystallomics core, is to produce the target proteins with increased purity and homogeneity, which would render them more likely to yield well diffracting crystals. This is performed by alternative purification procedures and/or the introduction of chemical modifications to the proteins (such as tag removal, methylation, surface mutagenesis, selenomethionine labelling etc.). Details of the various procedures in the pipeline for protein crystallization, target salvaging, data collection/processing and high-throughput structure determination/validation, as well as some examples, are described. [ABSTRACT FROM AUTHOR]

The determination of protein structures on a genomic scale requires both computing capacity and efficiency increases at many stages along the complex process. By combining bioinformatics workflow-management techniques, cluster-based computing and popular crystallographic structure-determination software packages, an efficient and powerful new tool for structural biology/genomics has been developed. Using the workflow manager and a simple web interface, the researcher can, in a few easy steps, set up hundreds of structure-determination jobs, each using a slightly different set of program input parameters, thus efficiently screening parameter space for the optimal input-parameter combination, i.e. a set of parameters that leads to a successful structure determination. Upon completion, results from the programs are harvested, analyzed, sorted based on success and presented to the user via the web interface. This approach has been applied with success in more than 30 cases. Examples of successful structure determinations based on single-wavelength scattering (SAS) are described and include cases where the 'rational' crystallographer-based selection of input parameters values had failed. [ABSTRACT FROM AUTHOR]

Presents a correction to the article "Parameter-Space Screening: A Powerful Tool for High-Throughput Crystal Structure Determination. Corrigendum," published in the previous issue of "Acta Crystallographica Section D."