Trimethyllead acetate: a first-choice heavy atom derivative for protein crystallography

The three-dimensional conformation of a protein provides a wealth of biochemical information and with the advent of cloning techniques that allow the preparation of proteins almost at will, a renewed interest has arisen in the crystallographic determination of protein structures. As in any research technique, however, there are often many difficulties encountered in an X-ray crystallographic investigation. One of these is the "phase problem." Although in recent years there has been considerable progress in the development of techniques for phase determination, including the use of molecular replacement and multiple wavelength measurements, the multiple isomorphous replacement method is still the most successful method for obtaining a three-dimensional structure. Here we report the use of trimethyllead acetate as a heavy atom compound of first choice in the preparation of an isomorphous heavy atom derivative.     

Get phases from arsenic anomalous scattering: de novo SAD phasing of two protein structures crystallized in cacodylate buffer

The crystal structures of two proteins, a putative pyrazinamidase/nicotinamidase from the dental pathogen Streptococcus mutans (SmPncA) and the human caspase-6 (Casp6), were solved by de novo arsenic single-wavelength anomalous diffraction (As-SAD) phasing method. Arsenic (As), an uncommonly used element in SAD phasing, was covalently introduced into proteins by cacodylic acid, the buffering agent in the crystallization reservoirs. In SmPncA, the only cysteine was bound to dimethylarsinoyl, which is a pentavalent arsenic group (As (V)). This arsenic atom and a protein-bound zinc atom both generated anomalous signals. The predominant contribution, however, was from the As anomalous signals, which were sufficient to phase the SmPncA structure alone. In Casp6, four cysteines were found to bind cacodyl, a trivalent arsenic group (As (III)), in the presence of the reducing agent, dithiothreitol (DTT), and arsenic atoms were the only anomalous scatterers for SAD phasing. Analyses and discussion of these two As-SAD phasing examples and comparison of As with other traditional heavy atoms that generate anomalous signals, together with a few arsenic-based de novo phasing cases reported previously strongly suggest that As is an ideal anomalous scatterer for SAD phasing in protein crystallography.     

Structural genomics plucks high-hanging membrane proteins

Recent years have seen the establishment of structural genomics centers that explicitly target integral membrane proteins. Here, we review the advances in targeting these extremely high-hanging fruits of structural biology in high-throughput mode. We observe that the experimental determination of high-resolution structures of integral membrane proteins is increasingly successful both in terms of getting structures and of covering important protein families, for example, from Pfam. Structural genomics has begun to contribute significantly toward this progress. An important component of this contribution is the set up of robotic pipelines that generate a wealth of experimental data for membrane proteins. We argue that prediction methods for the identification of membrane regions and for the comparison of membrane proteins largely suffice to meet the challenges of target selection for structural genomics of membrane proteins. In contrast, we need better methods to prioritize the most promising members in a family of closely related proteins and to annotate protein function from sequence and structure in absence of homology.     

Beta barrel trans-membrane proteins: Enhanced prediction using a Bayesian approach

Membrane proteins, which constitute approximately 20% of most genomes, form two main classes: alpha helical and beta barrel transmembrane proteins. Using methods based on Bayesian Networks, a powerful approach for statistical inference, we have sought to address beta-barrel topology prediction. The beta-barrel topology predictor reports individual strand accuracies of 88.6%. The method outlined here represents a potentially important advance in the computational determination of membrane protein topology.     

Alpha helical trans-membrane proteins: Enhanced prediction using a Bayesian approach

Membrane proteins, which constitute approximately 20% of most genomes, are poorly tractable targets for experimental structure determination, thus analysis by prediction and modelling makes an important contribution to their on-going study. Membrane proteins form two main classes: alpha helical and beta barrel trans-membrane proteins. By using a method based on Bayesian Networks, which provides a flexible and powerful framework for statistical inference, we addressed alpha-helical topology prediction. This method has accuracies of 77.4% for prokaryotic proteins and 61.4% for eukaryotic proteins. The method described here represents an important advance in the computational determination of membrane protein topology and offers a useful, and complementary, tool for the analysis of membrane proteins for a range of applications.     

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.     

Comparison of helix interactions in membrane and soluble alpha-bundle proteins

Helix-helix interactions are important for the folding, stability, and function of membrane proteins. Here, two independent and complementary methods are used to investigate the nature and distribution of amino acids that mediate helix-helix interactions in membrane and soluble alpha-bundle proteins. The first method characterizes the packing density of individual amino acids in helical proteins based on the van der Waals surface area occluded by surrounding atoms. We have recently used this method to show that transmembrane helices pack more tightly, on average, than helices in soluble proteins. These studies are extended here to characterize the packing of interfacial and noninterfacial amino acids and the packing of amino acids in the interfaces of helices that have either right- or left-handed crossing angles, and either parallel or antiparallel orientations. We show that the most abundant tightly packed interfacial residues in membrane proteins are Gly, Ala, and Ser, and that helices with left-handed crossing angles are more tightly packed on average than helices with right-handed crossing angles. The second method used to characterize helix-helix interactions involves the use of helix contact plots. We find that helices in membrane proteins exhibit a broader distribution of interhelical contacts than helices in soluble proteins. Both helical membrane and soluble proteins make use of a general motif for helix interactions that relies mainly on four residues (Leu, Ala, Ile, Val) to mediate helix interactions in a fashion characteristic of left-handed helical coiled coils. However, a second motif for mediating helix interactions is revealed by the high occurrence and high average packing values of small and polar residues (Ala, Gly, Ser, Thr) in the helix interfaces of membrane proteins. Finally, we show that there is a strong linear correlation between the occurrence of residues in helix-helix interfaces and their packing values, and discuss these results with respect to membrane protein structure prediction and membrane protein stability.     

Integrated prediction of the helical membrane protein interactome in yeast

At least a quarter of all genes in most genomes contain putative transmembrane (TM) helices, and helical membrane protein interactions are a major component of the overall cellular interactome. However, current experimental techniques for large-scale detection of protein-protein interactions are biased against membrane proteins. Here, we define protein-protein interaction broadly as co-complexation, and develop a weighted-voting procedure to predict interactions among yeast helical membrane proteins by optimally combining evidence based on diverse genome-wide information such as sequence, function, localization, abundance, regulation, and phenotype. We use logistic regression to simultaneously optimize the weights of all evidence sources for best discrimination based on a set of known helical membrane protein interactions. The resulting integrated classifier not only significantly outperforms classifiers based on any single genomic feature, but also does better than a benchmark Na?ve Bayes classifier (using a simplifying assumption of conditional independence among features). Finally, we apply the optimized classifier genome-wide, and construct a comprehensive map of predicted helical membrane protein interactome in yeast. This can serve as a guide for prioritizing further experimental validation efforts.     

A protocol for high throughput methods for the expression and purification of inner membrane proteins

The production of diffraction quality crystals for the structural determination of inner membrane proteins relies on obtaining large amounts of stable protein. Achieving this, by finding the correct parameters to successfully express and purify these proteins is often time-consuming and frustrating. The methods described here examine the most important parameters, in both expression and purification, quickly and simply. They take into account methods previously used in successful structural determinations of inner membrane proteins and collect and analyse data for use in further experiments and to investigate overall trends. These methods make use of histidine-tagged membrane proteins with a green fluorescent protein fusion but could be adapted easily for other proteins.     

SAD phasing using iodide ions in a high-throughput structural genomics environment

The Seattle Structural Genomics Center for Infectious Disease (SSGCID) focuses on the structure elucidation of potential drug targets from class A, B, and C infectious disease organisms. Many SSGCID targets are selected because they have homologs in other organisms that are validated drug targets with known structures. Thus, many SSGCID targets are expected to be solved by molecular replacement (MR), and reflective of this, all proteins are expressed in native form. However, many community request targets do not have homologs with known structures and not all internally selected targets readily solve by MR, necessitating experimental phase determination. We have adopted the use of iodide ion soaks and single wavelength anomalous dispersion (SAD) experiments as our primary method for de novo phasing. This method uses existing native crystals and in house data collection, resulting in rapid, low cost structure determination. Iodide ions are non-toxic and soluble at molar concentrations, facilitating binding at numerous hydrophobic or positively charged sites. We have used this technique across a wide range of crystallization conditions with successful structure determination in 16 of 17 cases within the first year of use (94% success rate). Here we present a general overview of this method as well as several examples including SAD phasing of proteins with novel folds and the combined use of SAD and MR for targets with weak MR solutions. These cases highlight the straightforward and powerful method of iodide ion SAD phasing in a high-throughput structural genomics environment.     

A novel and simple method of production and biophysical characterization of a mini-membrane protein, Ost4p: a subunit of yeast oligosaccharyl transferase

Asparagine-linked glycosylation is an essential and highly conserved protein modification reaction. In eukaryotes, oligosaccharyl transferase (OT), a multi-subunit membrane-associated enzyme complex, catalyzes this reaction in newly synthesized proteins. In Saccharomyces cerevisiae, OT consists of nine nonidentical membrane proteins. Ost4p, the smallest subunit, bridges the catalytic subunit Stt3p with Ost3p. Mutation of transmembrane residues 18-24 in Ost4p has negative effect on OT activity, disrupts the Stt3p-Ost4p-Ost3p complex, results in temperature-sensitive phenotype, and hypoglycosylation. Heterologous expression and purification of integral membrane proteins are the bottleneck in membrane protein research. The authors report the cloning, successful overexpression and purification of recombinant Ost4p with a novel but simple method producing milligram quantities of pure protein. GB1 protein was found to be the most suitable tag for the large scale production of Ost4p. The cleavage of Ost4p conveniently leaves GB1 protein in solution eliminating further purification. The precipitated pure Ost4p is reconstituted in appropriate membrane mimetic. The recombinant protein is highly helical as indicated by the far-UV CD spectrum. The well-dispersed heteronuclear single quantum coherence spectrum indicates that this minimembrane protein is well-folded. The successful production of pure recombinant Ost4p with a novel yet simple method may have important ramification for the production of other membrane proteins.     

In-house UV radiation-damage-induced phasing of selenomethionine-labeled protein structures

Selenomethionine labeling is the most common technique used in protein crystallography to derivatize recombinant proteins for experimental phasing using anomalous scattering at tunable synchrotron beamlines. Recently, it has been shown that UV radiation depletes electron density of selenium atoms of selenomethionine residues and that UV radiation-damage-induced phasing (equivalent to single isomorphous replacement) protocol can be applied to calculate experimental phases. Here we present the straightforward integration of a UV source with an in-house diffractometer. We show how this setup can extend the capabilities of a sealed tube X-ray generator and be used for experimental phasing of selenium-labeled proteins.     

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.     

The use of soluble protein structures in modeling helical proteins in a layered membrane

Major advances have been made in the prediction of soluble protein structures, led by the knowledge-based modeling methods that extract useful structural trends from known protein structures and incorporate them into scoring functions. The same cannot be reported for the class of transmembrane proteins, primarily due to the lack of high-resolution structural data for transmembrane proteins, which render many of the knowledge-based method unreliable or invalid. We have developed a method that harnesses the vast structural knowledge available in soluble protein data for use in the modeling of transmembrane proteins. At the core of the method, a set of transmembrane protein decoy sets that allow us to filter and train features recognized from soluble proteins for transmembrane protein modeling into a set of scoring functions. We have demonstrated that structures of soluble proteins can provide significant insight into transmembrane protein structures. A complementary novel two-stage modeling/selection process that mimics the two-stage helical membrane protein folding was developed. Combined with the scoring function, the method was successfully applied to model 5 transmembrane proteins. The root mean square deviations of the predicted models ranged from 5.0 to 8.8?Å to the native structures.     

A simple method for predicting transmembrane alpha helices with better accuracy.

The prediction of a protein's structure from its amino acid sequence has been a long-standing goal of molecular biology. In this work, a new set of conformational parameters for membrane spanning alpha helices was developed using the information from the topology of 70 membrane proteins. Based on these conformational parameters, a simple algorithm has been formulated to predict the transmembrane alpha helices in membrane proteins. A FORTRAN program has been developed which takes the amino acid sequence as input and gives the predicted transmembrane alpha-helices as output. The present method correctly identifies 295 transmembrane helical segments in 70 membrane proteins with only two overpredictions. Furthermore, this method predicts all 45 transmembrane helices in the photosynthetic reaction center, bacteriorhodopsin and cytochrome c oxidase to an 86% level of accuracy and so is better than all other methods published to date.     

Protein Interactions and Membrane Geometry

The difficulty in growing crystals for x-ray diffraction analysis has hindered the determination of membrane protein structures. However, this is changing with the advent of a new method for growing high quality membrane protein crystals from the lipidic cubic phase. Although successful, the mechanism underlying this method has remained unclear. Here, we present a theoretical analysis of the process. We show that it is energetically favorable for proteins embedded in the highly curved cubic phase to cluster together in flattened regions of the membrane. This stabilizes the lamellar phase, permitting its outgrowth from the cubic phase. A kinetic barrier-crossing model is developed to determine the free energy barrier to crystallization from the time-dependent growth of protein clusters. Determining the values of key parameters provides both a rational basis for optimizing the experimental procedure for membrane proteins that have not yet been crystallized and insight into the analogous cubic to lamellar transitions in cells. We also discuss the implications of this mechanism for protein sorting at the exit sites of the Golgi and endoplasmic reticulum and the general stabilization of membrane structures.     

TMCompare: transmembrane region sequence and structure.

TMCompare is an alignment and visualization tool for comparison of sequence information for membrane proteins contained in SWISS-PROT entries, with structural information contained in PDB files. The program can be used for: detection of breaks in alpha helical structure of transmembrane regions; examination of differences in coverage between PDB and SWISS-PROT files; examination of annotation differences between PDB files and associated SWISS-PROT files; examination and comparison of assigned PDB alpha helix regions and assigned SWISS-PROT transmembrane regions in linear sequence (one letter code) format; examination of these differences in 3D using the CHIME plugin, allowing; analysis of the alpha and non-alpha content of transmembrane regions. AVAILABILITY: TMCompare is available for use through selection of a query protein via the internet (http://www.membraneproteins.org/TMCompare) CONTACT: tmcompare@membraneproteins.org     

Analysis of high-resolution electron diffraction patterns from purple membrane labelled with heavy-atoms

Progress in the structure determination of bacteriorhodopsin, the protein component of purple membrane from Halobacterium halobium has been limited by the lack of three-dimensional phase information between 6 and 3 A resolution. By analogy with X-ray methods, it is possible that heavy-atom labelling of the membrane crystal may provide heavy-atom derivatives that can be used for phasing by the multiple isomorphous replacement method. This paper describes the screening of heavy-atom compounds as potential derivatives, and the evaluation of the data collected from these heavy-atom-labelled membranes. Improvements in the methods for collecting electron diffraction data and analysing and merging the data are presented. Diffraction patterns of purple membrane samples were taken at -120 degrees C to minimize radiation damage. About 30 heavy-atom compounds were tested for use as potential derivatives. The diffraction patterns from labelled membranes were analysed by examining 6.5 A difference Fourier maps. Two heavy-atom compounds were selected for three-dimensional data collection at 3 A resolution. In addition, a full set of native data at -120 degrees C was collected to 2.7 A resolution. The intensity merging, heavy-atom derivative evaluation, heavy-atom refinement and the calculation of phases are presented. Phases are compared to those determined by electron microscope imaging, and limitations of the method are discussed. It is concluded that, with the present accuracy of data collection and the present magnitude of delta F/F available for the derivatives, the phasing power is too small. The phases that are obtained are not sufficiently accurate to provide a reliably interpretable map. It may be possible, however, to use the heavy-atom derivative data in difference Fourier calculations in which the presence of a peak would confirm the phases calculated from a model or obtained by electron microscope imaging.     

Crystals and a low resolution structure of interleukin-2

Recombinant derived human interleukin-2 and an analog in which cysteine 125 has been replaced with alanine have been crystallized in a form suitable for x-ray diffraction. The crystals are triclinic, space group P1, with two protein molecules in the unit cell; unit cell parameters are a = 55.8 A, b = 40.1 A, c = 33.7 A, alpha = 90.0 degrees, beta = 109.3 degrees, gamma = 93.2 degrees. The interleukin-2 structure has been solved to 5.5 A resolution using heavy atom isomorphous replacement methods. The resultant low resolution model reveals a significant fraction of alpha helical secondary structure and outlines the overall tertiary structure of the molecule.     

Recollections of the electron crystallographic heavy atom derivative search of purple membrane: the quest for EM structure determination.

The use of multiple isomorphous replacement in protein electron crystallography for phase determination has been systematically studied only for purple membrane, even though the use of heavy atoms or heavy atom clusters has been used on many occasions in electron microscopy for locating domains or subunits in protein assemblies. The background behind the structure determination of bacteriorhodopsin, the protein component of purple membranes, is summarized and an evaluation of the strengths and weaknesses of using isomorphous replacement in electron crystallography is discussed.