Ashley M. Deacon

Blu-Ice and the Distributed Control System: software for data acquisition and instrument control at macromolecular crystallography beamlines

The Blu-Ice and Distributed Control System (DCS) software packages were developed to provide unified control over the disparate hardware resources available at a macromolecular crystallography beamline. Blu-Ice is a user interface that provides scientific experimenters and beamline support staff with intuitive graphical tools for collecting diffraction data and configuring beamlines for experiments. Blu-Ice communicates with the hardware at a beamline via DCS, an instrument-control and data-acquisition package designed to integrate hardware resources in a highly heterogeneous networked computing environment. Together, Blu-Ice and DCS provide a flexible platform for increasing the ease of use, the level of automation and the remote accessibility of beamlines. Blu-Ice and DCS are currently installed on four Stanford Synchrotron Radiation Laboratory crystallographic beamlines and are being implemented at sister light sources.

Structural Genomics of the Thermotoga maritima Proteome Implemented in a High-throughput Structure Determination Pipeline

Structural genomics is emerging as a principal approach to define protein structure–function relationships. To apply this approach on a genomic scale, novel methods and technologies must be developed to determine large numbers of structures. We describe the design and implementation of a high-throughput structural genomics pipeline and its application to the proteome of the thermophilic bacterium Thermotoga maritima. By using this pipeline, we successfully cloned and attempted expression of 1,376 of the predicted 1,877 genes (73%) and have identified crystallization conditions for 432 proteins, comprising 23% of the T. maritima proteome. Representative structures from TM0423 glycerol dehydrogenase and TM0449 thymidylate synthase-complementing protein are presented as examples of final outputs from the pipeline.

An automated system to mount cryo-cooled protein crystals on a synchrotron beamline, using compact sample cassettes and a small-scale robot

An automated system for mounting and dismounting pre-frozen crystals has been implemented at the Stanford Synchrotron Radiation Laboratory (SSRL). It is based on a small industrial robot and compact cylindrical cassettes, each holding up to 96 crystals mounted on Hampton Research sample pins. For easy shipping and storage, the cassette fits inside several popular dry-shippers and long-term storage Dewars. A dispensing Dewar holds up to three cassettes in liquid nitrogen adjacent to the beam line goniometer. The robot uses a permanent magnet tool to extract samples from, and insert samples into a cassette, and a cryo-tong tool to transfer them to and from the beam line goniometer. The system is simple, with few moving parts, reliable in operation and convenient to use.

Three-Dimensional Structural View of the Central Metabolic Network of Thermotoga maritima

Now Shown in 3D With the advent of systems-wide technologies and the development of analytical methods, data produced by analyzing individual or small groups of molecular components can be integrated to reassemble whole biological systems. Zhang et al. (p. 1544) have undertaken a major technological challenge: to integrate biochemical data with experimentally determined or predicted three-dimensional structures of all proteins involved in the central metabolism of a bacterial cell. This integration of large-scale data sets provides evolutionary and functional insights and furthers our understanding of the molecular assembly of complex biological networks. Protein structure and biochemical data generate a three-dimensional view of the metabolic network of a bacterial cell. Metabolic pathways have traditionally been described in terms of biochemical reactions and metabolites. With the use of structural genomics and systems biology, we generated a three-dimensional reconstruction of the central metabolic network of the bacterium Thermotoga maritima. The network encompassed 478 proteins, of which 120 were determined by experiment and 358 were modeled. Structural analysis revealed that proteins forming the network are dominated by a small number (only 182) of basic shapes (folds) performing diverse but mostly related functions. Most of these folds are already present in the essential core (~30%) of the network, and its expansion by nonessential proteins is achieved with relatively few additional folds. Thus, integration of structural data with networks analysis generates insight into the function, mechanism, and evolution of biological networks.

Automated diffraction image analysis and spot searching for high-throughput crystal screening

A new software package, DISTL (Diffraction Image Screening Tool and Library), for the rapid analysis of X-ray diffraction patterns collected from macromolecular crystals is presented. Within seconds, the program characterizes the strength and quality of the Bragg spots, determines the limiting resolution of the image, and identifies deleterious features such as ice-rings and intense salt reflections. The procedure also generates a reliable set of intense peaks for auto-indexing. The ability to classify a large number of crystals quickly will be especially useful at synchrotron and home-laboratory X-ray sources where automated crystal screening and data collection systems have been implemented.

New paradigm for macromolecular crystallography experiments at SSRL: automated crystal screening and remote data collection

Through the combination of robust mechanized experimental hardware and a flexible control system with an intuitive user interface, SSRL researchers have screened over 200 000 biological crystals for diffraction quality in an automated fashion. Three quarters of SSRL researchers are using these data-collection tools from remote locations.

Exploration of Uncharted Regions of the Protein Universe

Determination of first protein structures, from hundreds of families of unknown function, have shown that divergence, rather than novelty, is the dominant force that shapes the evolution of the protein universe.

The JCSG High-throughput Structural Biology Pipeline

The Joint Center for Structural Genomics high-throughput structural biology pipeline has delivered more than 1000 structures to the community over the past ten years and has made a significant contribution to the overall goal of the NIH Protein Structure Initiative (PSI) of expanding structural coverage of the protein universe.

Functional Analysis of Substrate and Cofactor Complex Structures of a Thymidylate Synthase-Complementing Protein

Like thymidylate synthase (TS) in eukaryotes, the thymidylate synthase-complementing proteins (TSCPs) are mandatory for cell survival of many prokaryotes in the absence of external sources of thymidylate. Details of the mechanism of this novel family of enzymes are unknown. Here, we report the structural and functional analysis of a TSCP from Thermotoga maritima and its complexes with substrate, analogs, and cofactor. The structures presented here provide a basis for rationalizing the TSCP catalysis and reveal the possibility of the design of an inhibitor. We have identified a new helix-loop-strand FAD binding motif characteristic of the enzymes in the TSCP family. The presence of a hydrophobic core with residues conserved among the TSCP family suggests a common overall fold.

Crystal structures of two novel dye-decolorizing peroxidases reveal a beta-barrel fold with a conserved heme-binding motif.

BtDyP from Bacteroides thetaiotaomicron (strain VPI‐5482) and TyrA from Shewanella oneidensis are dye‐decolorizing peroxidases (DyPs), members of a new family of heme‐dependent peroxidases recently identified in fungi and bacteria. Here, we report the crystal structures of BtDyP and TyrA at 1.6 and 2.7 Å, respectively. BtDyP assembles into a hexamer, while TyrA assembles into a dimer; the dimerization interface is conserved between the two proteins. Each monomer exhibits a two‐domain, α+β ferredoxin‐like fold. A site for heme binding was identified computationally, and modeling of a heme into the proposed active site allowed for identification of residues likely to be functionally important. Structural and sequence comparisons with other DyPs demonstrate a conservation of putative heme‐binding residues, including an absolutely conserved histidine. Isothermal titration calorimetry experiments confirm heme binding, but with a stoichiometry of 0.3:1 (heme:protein). Proteins 2007.