Application of preferential crystallization to resolve racemic compounds in a hybrid process

The application of preferential crystallization is at present limited to conglomerate forming systems, which cover only a minor part of chiral substances. In this paper, a hybrid process is proposed that extends the applicability of the preferential crystallization principle to the more common racemic compound forming systems. It comprises a preliminary (e.g., chromatographic) enantiomeric enrichment step and preferential crystallization to finally produce the desired pure enantiomer(s). The applicability of preferential crystallization to racemic compounds is demonstrated on the example of mandelic acid as a model system. Direct monitoring of the separation progress is performed using combined online polarimetry and online density measurements. A cyclic crystallization process, which provides alternating the pure mandelic acid enantiomer and the racemic compound, is feasible and allows the resolution of rac-mandelic acid as part of the proposed hybrid approach.     

Introduction to protein crystallization

Biological macromolecules can be crystallized by a variety of techniques, and using a wide range of reagents which produce supersaturated mother liquors. These may, in turn, be applied under different physical conditions such as temperature. The fundamental approaches to devising successful crystallization conditions and the factors that influence them are summarized here. For the Novice, it is hoped that this brief review might serve as a useful introduction and a stepping-stone to a successful X-ray structure determination. In addition, it may provide a framework in which to place the articles that follow.     

LRR conservation mapping to predict functional sites within protein leucine-rich repeat domains

Computational prediction of protein functional sites can be a critical first step for analysis of large or complex proteins. Contemporary methods often require several homologous sequences and/or a known protein structure, but these resources are not available for many proteins. Leucine-rich repeats (LRRs) are ligand interaction domains found in numerous proteins across all taxonomic kingdoms, including immune system receptors in plants and animals. We devised Repeat Conservation Mapping (RCM), a computational method that predicts functional sites of LRR domains. RCM utilizes two or more homologous sequences and a generic representation of the LRR structure to identify conserved or diversified patches of amino acids on the predicted surface of the LRR. RCM was validated using solved LRR+ligand structures from multiple taxa, identifying ligand interaction sites. RCM was then used for de novo dissection of two plant microbe-associated molecular pattern (MAMP) receptors, EF-TU RECEPTOR (EFR) and FLAGELLIN-SENSING 2 (FLS2). In vivo testing of Arabidopsis thaliana EFR and FLS2 receptors mutagenized at sites identified by RCM demonstrated previously unknown functional sites. The RCM predictions for EFR, FLS2 and a third plant LRR protein, PGIP, compared favorably to predictions from ODA (optimal docking area), Consurf, and PAML (positive selection) analyses, but RCM also made valid functional site predictions not available from these other bioinformatic approaches. RCM analyses can be conducted with any LRR-containing proteins at www.plantpath.wisc.edu/RCM, and the approach should be modifiable for use with other types of repeat protein domains.     

A capping domain for LRR protein interaction modules.

Leucine-rich repeats (LRR) are protein interaction modules which are present in a large number of proteins with diverse functions. We describe here a novel motif (16-19 residues) downstream of the last, incomplete, LRR in a subfamily of LRR proteins. In the U2A' spliceosomal protein, this motif is folded into a cap that shields the hydrophobic core of the LRRs from the solvent. Modelling of the LRR-cap in the imidazoline-1 candidate receptor, using the known structure of U2A' as template, showed a conservation of the basic structural features.     

A pedestrian guide to membrane protein crystallization

Membrane protein structural biology is a frontier area of modern biomedical research. Twenty to thirty-five percent of the proteins encoded by an organism's genome are integral membrane proteins. Integral membrane proteins, such as channels, transporters, and receptors, are critical components of many fundamental biological processes. Also, many integral membrane proteins are important in biomedical and biotechnological applications; the majority of drug targets are integral membrane proteins. The sharp increase in the number of membrane protein structures over the last several years gives some indication that this field is poised for rather explosive growth as more and more investigators take on membrane protein projects. The purpose of this brief practical review was to take a snapshot of a field at the onset of its likely exponential growth phase, and to lay out the methods that have worked to date for obtaining membrane protein crystals suitable for structure determination by X-ray crystallography. Many of the successful experimental methods are identical to those used for soluble proteins. The major difference, and a non-trivial difference, is the necessity for inclusion of detergents above the critical micelle concentration in the purified membrane protein solution.     

Development of an alternative approach to protein crystallization

We are developing an alternate strategy for the crystallization of macromolecules that does not, like current methods, depend on the optimization of traditional variables such as pH and precipitant concentration, but is based on the hypothesis that many conventional small molecules might establish stabilizing, intermolecular, non covalent crosslinks in crystals, and thereby promote lattice formation. To test the hypothesis, we carried out preliminary experiments encompassing 18,240 crystallization trials using 81 different proteins, and 200 chemical compounds. Statistical analysis of the results demonstrated the validity of the idea. In addition, we conducted X-ray diffraction analyses of some of the crystals grown in the experiments. These clearly showed incorporation of conventional molecules into the protein crystal lattices, and further validated the underlying hypothesis. We are currently extending the investigations to include a broader and more diverse set of proteins, an expanded search of conventional and biologically active small molecules, and a wider range of precipitants. The strategy proposed here is essentially orthogonal to current approaches and has an objective of doubling the success rate of today.     

High-throughput protein crystallization

The combinatorial chemistry industry has made major advances in the handling and mixing of small volumes, and in the development of robust liquid-handling systems. In addition, developments have been made in the area of material handling for the high-throughput drug screening and combinatorial chemistry fields. Lastly, improvements in beamline optics at synchrotron sources have enabled the use of flash-frozen micron-sized (10-50 microm) crystals. The combination of these and other recent advances will make high-throughput protein crystallography possible. Further advances in high-throughput methods of protein crystallography will require application of the above developments and the accumulation of success/failure data in a more systematic manner. Major changes in crystallography technology will emerge based on the data collected by first-generation high-throughput systems.     

Membrane protein crystallization

The need for high-resolution structure information on membrane proteins is immediate and growing. Currently, the only reliable way to get it is crystallographically. The rate-limiting step from protein to structure is crystal production. An overview of the current ideas and experimental approaches prevailing in the area of membrane protein crystallization is presented. The long-established surfactant-based method has been reviewed extensively and is not examined in detail here. The focus instead is on the latest methods, all of which exploit the spontaneous self-assembling properties of lipids and detergent as vesicles (vesicle-fusion method), discoidal micelles (bicelle method), and liquid crystals or mesophases (in meso or cubic-phase method). In the belief that a knowledge of the underlying phase science is integral to understanding the molecular basis of these assorted crystallization strategies, the article begins with a brief primer on lipids, mesophases, and phase science, and the related issue of form and function as applied to lipids is addressed. The experimental challenges associated with and the solutions for procuring adequate amounts of homogeneous membrane proteins, or parts thereof, are examined. The cubic-phase method is described from the following perspectives: how it is done in practice, its general applicability and successes to date, and the nature of the mesophases integral to the process. Practical aspects of the method are examined with regard to salt, detergent, and screen solution effects; crystallization at low temperatures; tailoring the cubic phase to suit the target protein; different cubic-phase types; dealing with low-protein samples, colorless proteins, microcrystals, and radiation damage; transport within the cubic phase for drug design, cofactor retention, and phasing; using spectroscopy for quality control; harvesting crystals; and miniaturization and robotization for high-throughput screening. The section ends with a hypothesis for nucleation and growth of membrane protein crystals in meso. Thus far, the bicelle and vesicle-fusion methods have produced crystals of one membrane protein, bacteriorhodopsin. The experimental details of both methods are reviewed and their general applicability in the future is commented on. The three new methods are rationalized by analogy to crystallization in microgravity and with respect to epitaxy. A list of Web resources in the area of membrane protein crystallogenesis is included.     

Efficient protein crystallization

High-throughput molecular biology and crystallography advances have placed an increasing demand on crystallization, the one remaining bottleneck in macromolecular crystallography. This paper describes three experimental approaches, an incomplete factorial crystallization screen, a high-throughput nanoliter crystallization system, and the use of a neural net to predict crystallization conditions via a small sample (approximately 0.1%) of screening results. The use of these technologies has the potential to reduce time and sample requirements. Initial experimental results indicate that the incomplete factorial design detects initial crystallization conditions not previously discovered using commercial screens. This may be due to the ability of the incomplete factorial screen to sample a broader portion of "crystallization space," using a multidimensional set of components, concentrations, and physical conditions. The incomplete factorial screen is complemented by a neural network program used to model crystallization. This capability is used to help predict new crystallization conditions. An automated, nanoliter crystallization system, with a throughput of up to 400 conditions/h in 40-nl droplets (total volume), accommodates microbatch or traditional "sitting-drop" vapor diffusion experiments. The goal of this research is to develop a fully-automated high-throughput crystallization system that integrates incomplete factorial screen and neural net capabilities.     

High-throughput protein crystallization

High-throughput structural biology is a focus of a number of academic and pharmaceutical laboratories around the world. The use of X-ray crystallography in these efforts is critically dependent on high-throughput protein crystallization. The application of current protocols yields crystal leads for approximately 30% of the input proteins and well-diffracting crystals for a smaller fraction. Increasing the success rate will require a multidisciplinary approach that must invoke techniques from molecular biology, protein biochemistry, biophysics, artificial intelligence, and automation.     

ERECTA, an LRR receptor-like kinase protein controlling development pleiotropically affects resistance to bacterial wilt

Bacterial wilt, one of the most devastating bacterial diseases of plants worldwide, is caused by Ralstonia solanacearum and affects many important crop species. We show that several strains isolated from solanaceous crops in Europe are pathogenic in different accessions of Arabidopsis thaliana. One of these strains, 14.25, causes wilting symptoms in A. thaliana accession Landsberg erecta (Ler) and no apparent symptoms in accession Columbia (Col-0). Disease development and bacterial multiplication in the susceptible Ler accession depend on functional hypersensitive response and pathogenicity (hrp) genes, key elements for bacterial pathogenicity. Genetic analysis using Ler x Col-0 recombinant inbred lines showed that resistance is governed by at least three loci: QRS1 (Quantitative Resistance to R. solanacearum) and QRS2 on chromosome 2, and QRS3 on chromosome 5. These loci explain about 90% of the resistance carried by the Col-0 accession. The ERECTA gene, which encodes a leucine-rich repeat receptor-like kinase (LRR-RLK) and affects development of aerial organs, is dimorphic in our population and lies close to QRS1. Susceptible Ler plants transformed with a wild-type ERECTA gene, and the LER line showed increased disease resistance to R. solanacearum as indicated by reduced wilt symptoms and impaired bacterial growth, suggesting unexpected cross-talk between resistance and developmental pathways.     

Perspectives on high-throughput technologies applied to protein crystallization

High-throughput crystallisation requires the rapid and accurate dispensing of protein and precipitating agent solutions at nanovolumes, but does not end there. The choice of the initial screens is very important, especially with respect to the availability of protein material. Data from previous crystallisation experiments that are scattered in the literature and only partially available in databases have to be analysed in efficient ways that will maximise their utility for designing new screens. A larger portion of crystallisation parameter space should be made accessible to screening, through the use of nucleants and seeding. Observation, assessment and scaling up of the crystallisation trials should be efficiently performed and, finally yet importantly, optimisation of conditions must also be adapted to the high-throughput environment. The above requirements are briefly addressed in the following paper.     

Attempts to rationalize protein crystallization using relative crystallizability

Protein crystal growth (PCG) remains the bottleneck of crystallography despite many decades of study. The nucleation zone in the two-dimensional-phase diagram has been used to evaluate the relative crystallizability of proteins, which is expressed as a percentage over the phase area delineated by experimental protein and precipitating agent concentration ranges. For protein-salts which are subject to a direct temperature effect on solubility, as represented by Egg Lysozyme, a decrease in temperature augments the nucleation zone percentage whereas for those with retrograde solubility as a function of temperature, for example fructose-1,6-bisphosphatase in the presence and absence of AMP, an increase in temperature can significantly enhance the relative crystallizability. These results have been confirmed by the number of "hits" using PEGs as precipitating agents in Sparse Matrix Screen experiments for different proteins and are in excellent agreement with the relative crystallizability. The relationship between solubility dependence, relative crystallizability and crystallization success, has been evidenced. Such crystallizability can become a guide to identify efficient crystallization regions, providing a rational approach to PCG and structural biology.     

A novel hybrid GA/RBFNN technique for protein sequences classification

A novel hybrid genetic algorithm (GA)/radial basis function neural network (RBFNN) technique, which selects features from the protein sequences and trains the RBF neural network simultaneously, is proposed in this paper. Experimental results show that the proposed hybrid GA/RBFNN system outperforms the BLAST and the HMMer.     

Measurements of protein self-association as a guide to crystallization

The challenge of crystallizing proteins has led to a significant amount of research in understanding protein self-association and assembly. Arguably the most influential finding in this field in the past decade has been that weakly attractive protein interactions, characterized in terms of the osmotic second virial coefficient, correlate with solution conditions that are conducive to crystallization. Recent work in this area has focused on the development of more efficient techniques for measuring the second virial coefficient, as traditional characterization methods suffer from poor efficiency in terms of time and protein consumption. The resulting measurements have provided new insights into patterns of protein interactions and their relation to protein phase behavior.     

Protein crystallization: from purified protein to diffraction-quality crystal

Determining the structure of biological macromolecules by X-ray crystallography involves a series of steps: selection of the target molecule; cloning, expression, purification and crystallization; collection of diffraction data and determination of atomic positions. However, even when pure soluble protein is available, producing high-quality crystals remains a major bottleneck in structure determination. Here we present a guide for the non-expert to screen for appropriate crystallization conditions and optimize diffraction-quality crystal growth.