Difficult macromolecular structures determined using X-ray diffraction techniques

Macromolecular crystallography has been, for the last few decades, the main source of structural information of biological macromolecular systems and it is one of the most powerful techniques for the analysis of enzyme mechanisms and macromolecular interactions at the atomic level. In addition, it is also an extremely powerful tool for drug design. Recent technological and methodological developments in macromolecular X-ray crystallography have allowed solving structures that until recently were considered difficult or even impossible, such as structures at atomic or subatomic resolution or large macromolecular complexes and assemblies at low resolution. These developments have also helped to solve the 3D-structure of macromolecules from twin crystals. Recently, this technique complemented with cryo-electron microscopy and neutron crystallography has provided the structure of large macromolecular machines with great precision allowing understanding of the mechanisms of their function.     

Growth and disorder of macromolecular crystals: insights from atomic force microscopy and X-ray diffraction studies

The growth processes and defect structures of protein and virus crystals have been studied in situ by atomic force microscopy (AFM), X-ray diffraction topography, and high-resolution reciprocal space scanning. Molecular mechanisms of macromolecular crystallization were visualized and fundamental kinetic and thermodynamic parameters, which govern the crystallization process of a number of macromolecular crystals, have been determined. High-resolution AFM imaging of crystal surfaces provides information on the packing of macromolecules within the unit cell and on the structure of large macromolecular assemblies. X-ray diffraction techniques provide a bulk probe with poorer spatial resolution but excellent sensitivity to mosaicity and strain. Defect structures and disorder created in macromolecular crystals during growth, seeding, and post-growth treatments including flash cooling were characterized and their impacts on the diffraction properties of macromolecular crystals have been analyzed. The diverse and dramatic effects of impurities on growth and defect formation have also been studied. Practical implications of these fundamental insights into the improvement of macromolecular crystallization protocols are discussed.     

High-resolution electron cryomicroscopy of macromolecular assemblies

Electron cryomicroscopy is a high-resolution imaging technique that is particularly appropriate for the structural determination of large macromolecular assemblies, which are difficult to study by X-ray crystallography or NMR spectroscopy. For some biological molecules that form two-dimensional crystals, the application of electron cryomicroscopy and image reconstruction can help elucidate structures at atomic resolution. In instances where crystals cannot be formed, atomic-resolution information can be obtained by combining high-resolution structures of individual components determined by X-ray crystallography or NMR with image-derived reconstructions at moderate resolution. This can provide unique and crucial information on the mechanisms of these complexes. Finally, image reconstructions can be used to augment X-ray studies by providing initial models that facilitate phasing of crystals of large macromolecular machines such as ribosomes and viruses.     

Contact-site cross-linking agents

Summary Contact-site cross-linking agents comprise a heterogeneous grouping of cross-linkers which share the common property of being able to cross-link only very closely juxtaposed residues in macromolecular complexes. We have defined contact-site cross-linking arbitrarily as the covalent joining of residues such that they are constrained to a distance which is equivalent to or less than their closest possible steric approach prior to becoming linked (1). We recognize two classes of contact-site cross-linkers, bridge type and zero-length type. The former, such as formaldehyde, become incorporated during cross-linking as one-atom bridges. The latter, such as the carbodiimides, operate as condensing agents with the result that the cross-linked residues become interjoined directly. Contact-site cross-linkers have been used in several ways as specific probes of both the static and dynamic aspects of macromolecular structure. They can yield precise structural information about macromolecular contacts when actual sites of cross-linking are determined by peptide or nucleotide mapping techniques. In this way exact contacs between histones in the nucleosome, between protein and RNA in the ribosome, and between RNA polymerase and DNA have been determined. Contact-site cross-linkers have also been used to probe the perturbation of contacts following macromolecular conformational changes. Certain histonehistone ‘cross-linkable’ sites are rendered unreactive after induction of chromatin conformational changes thus serving to localize sites of perturbation.     

Low-resolution density maps from atomic models: how stepping "back" can be a step "forward"

Atomic-resolution structures have had a tremendous impact on modern biological science. Much useful information also has been gleaned by merging and correlating atomic-resolution structural details with lower-resolution (15-40 A), three-dimensional (3D) reconstructions computed from images recorded with cryo-transmission electron microscopy (cryoTEM) procedures. One way to merge these structures involves reducing the resolution of an atomic model to a level comparable to a cryoTEM reconstruction. A low-resolution density map can be derived from an atomic-resolution structure by retrieving a set of atomic coordinates editing the coordinate file, computing structure factors from the model coordinates, and computing the inverse Fourier transform of the structure factors. This method is a useful tool for structural studies primarily in combination with 3D cryoTEM reconstructions. It has been used to assess the quality of 3D reconstructions, to determine corrections for the phase-contrast transfer function of the transmission electron microscope, to calibrate the dimensions and handedness of 3D reconstructions, to produce difference maps, to model features in macromolecules or macromolecular complexes, and to generate models to initiate model-based determination of particle orientation and origin parameters for 3D reconstruction.     

Mobile DNA elements: controlling transposition with ATP-dependent molecular switches

Nucleotide-binding proteins are often used as molecular switches to control the assembly or activity of macromolecular machines. Recent work has revealed that such molecular switches also regulate the spread of some mobile DNA elements. Bacteriophage Mu and the bacterial transposon Tn7 each use an ATP-dependent molecular switch to select a new site for insertion and to coordinate the assembly of the transposition machinery at that site. Strong parallels between these ATP-dependent transposition proteins and other well-characterized molecular switches, such as Ras and EF-Tu, have emerged.     

KING (Kinemage,Next Generation): A versatile interactive molecular and scientific visualization program

Proper visualization of scientific data is important for understanding spatial relationships. Particularly in the field of structural biology, where researchers seek to gain an understanding of the structure and function of biological macromolecules, it is important to have access to visualization programs which are fast, flexible, and customizable. We present KiNG, a Java program for visualizing scientific data, with a focus on macromolecular visualization. KiNG uses the kinemage graphics format, which is tuned for macromolecular structures, but is also ideal for many other kinds of spatially embedded information. KiNG is written in cross‐platform, open‐source Java code, and can be extended by end users through simple or elaborate “plug‐in” modules. Here, we present three such applications of KiNG to problems in structural biology (protein backbone rebuilding), bioinformatics of high‐dimensional data (e.g., protein sidechain chi angles), and classroom education (molecular illustration). KiNG is a mature platform for rapidly creating and capitalizing on scientific visualizations. As a research tool, it is invaluable as a test bed for new methods of visualizing scientific data and information. It is also a powerful presentation tool, whether for structure browsing, teaching, direct 3D display on the web, or as a method for creating pictures and videos for publications. KiNG is freely available for download at http://kinemage.biochem.duke.edu .     

Structure-guided forcefield optimization

Accurate modeling of biomolecular systems requires accurate forcefields. Widely used molecular mechanics (MM) forcefields obtain parameters from experimental data and quantum chemistry calculations on small molecules but do not have a clear way to take advantage of the information in high-resolution macromolecular structures. In contrast, knowledge-based methods largely ignore the physical chemistry of interatomic interactions, and instead derive parameters almost exclusively from macromolecular structures. This can involve considerable double counting of the same physical interactions. Here, we describe a method for forcefield improvement that combines the strengths of the two approaches. We use this method to improve the Rosetta all-atom forcefield, in which the total energy is expressed as the sum of terms representing different physical interactions as in MM forcefields and the parameters are tuned to reproduce the properties of macromolecular structures. To resolve inaccuracies resulting from possible double counting of interactions, we compare distribution functions from low-energy modeled structures to those from crystal structures. The structural and physical bases of the deviations between the modeled and reference structures are identified and used to guide forcefield improvements. We describe improvements resolving double counting between backbone hydrogen bond interactions and Lennard-Jones interactions in helices; between sidechain-backbone hydrogen bonds and the backbone torsion potential; and between the sidechain torsion potential and Lennard-Jones interactions. Discrepancies between computed and observed distributions are also used to guide the incorporation of an explicit Cα-hydrogen bond in β sheets. The method can be used generally to integrate different sources of information for forcefield improvement.     

Low-Resolution Density Maps from Atomic Models: How Stepping “Back” Can Be a Step “Forward”

Atomic-resolution structures have had a tremendous impact on modern biological science. Much useful information also has been gleaned by merging and correlating atomic-resolution structural details with lower-resolution (15–40 Å), three-dimensional (3D) reconstructions computed from images recorded with cryo-transmission electron microscopy (cryoTEM) procedures. One way to merge these structures involves reducing the resolution of an atomic model to a level comparable to a cryoTEM reconstruction. A low-resolution density map can be derived from an atomic-resolution structure by retrieving a set of atomic coordinates editing the coordinate file, computing structure factors from the model coordinates, and computing the inverse Fourier transform of the structure factors. This method is a useful tool for structural studies primarily in combination with 3D cryoTEM reconstructions. It has been used to assess the quality of 3D reconstructions, to determine corrections for the phase-contrast transfer function of the transmission electron microscope, to calibrate the dimensions and handedness of 3D reconstructions, to produce difference maps, to model features in macromolecules or macromolecular complexes, and to generate models to initiate model-based determination of particle orientation and origin parameters for 3D reconstruction.     

Strategies for crystallization and structure determination of very large macromolecular assemblies

High-resolution structures of macromolecular assemblies are pivotal for our understanding of their biological functions in fundamental cellular processes. In the field of X-ray crystallography, recent methodological and instrumental advances have led to the structure determinations of macromolecular assemblies of increased size and complexity, such as those of ribosomal complexes, RNA polymerases, and large multifunctional enzymes. These advances include the use of robotic screening techniques that maximize the chances of obtaining well-diffracting crystals of large complexes through the fine sampling of crystallization space. Sophisticated crystal optimization and cryoprotection techniques and the use of highly brilliant X-ray beams from third-generation synchrotron light sources now allow data collection from weakly diffracting crystals with large asymmetric units. Combined approaches are used to derive phase information, including phases calculated from electron microscopy (EM) models, heavy atom clusters, and density modification protocols. New crystallographic software tools prove valuable for structure determination and model refinement of large macromolecular complexes.     

BLNK: molecular scaffolding through 'cis'-mediated organization of signaling proteins

Assembly of intracellular macromolecular complexes is thought to provide an important mechanism to coordinate the generation of second messengers upon receptor activation. We have previously identified a B cell linker protein, termed BLNK, which serves such a scaffolding function in B cells. We demonstrate here that phosphorylation of five tyrosine residues within human BLNK nucleates distinct signaling effectors following B cell antigen receptor activation. The phosphorylation of multiple tyrosine residues not only amplifies PLCgamma-mediated signaling but also supports 'cis'-mediated interaction between distinct signaling effectors within a large molecular complex. These data demonstrate the importance of coordinate phosphorylation of molecular scaffolds, and provide insights into how assembly of macromolecular complexes is required for normal receptor function.     

On the reliability of peptide nonplanarity seen in ultra‐high resolution crystal structures

Ultra‐high resolution protein crystal structures have been considered as relatively reliable sources for defining details of protein geometry, such as the extent to which the peptide unit deviates from planarity. Chellapa and Rose (Proteins 2015; 83:1687) recently called this into question, reporting that for a dozen representative protein structures determined at ～1 Å resolution, the diffraction data could be equally well fit with models restrained to have highly planar peptides, i.e. having a standard deviation of the ω torsion angles of only ～1° instead of the typically observed value of ～6°. Here, we document both conceptual and practical shortcomings of that study and show that the more tightly restrained models are demonstrably incorrect and do not fit the diffraction data equally well. We emphasize the importance of inspecting electron density maps when investigating the agreement between a model and its experimental data. Overall, this report reinforces that modern standard refinement protocols have been well‐conceived and that ultra‐high resolution protein crystal structures, when evaluated carefully and used with an awareness of their levels of coordinate uncertainty, are powerful sources of information for providing reliable information about the details of protein geometry.     

FGO: a novel ontology for identification of ligand functional group

Small molecules play crucial role in the modulation of biological functions by interacting with specific macromolecules. Hence small molecule interactions are captured by a variety of experimental methods to estimate and propose correlations between molecular structures to their biological activities. The tremendous expanse in publicly available small molecules is also driving new efforts to better understand interactions involving small molecules particularly in area of drug docking and pharmacogenomics. We have studied and designed a functional group identification system with the associated ontology for it. The functional group identification system can detect the functional group components from given ligand structure with specific coordinate information. Functional group ontology (FGO) proposed by us is a structured classification of chemical functional group which acts as an important source of prior knowledge that may be automatically integrated to support identification, categorization and predictive data analysis tasks. We have used a new annotation method which can be used to construct the original structure from given ontological expression using exact coordinate information. Here, we also discuss about ontology-driven similarity measure of functional groups and uses of such novel ontology for pharmacophore searching and de-novo ligand designing.     

Proceedings: Characteristics of freeze-dried cells

Microorganisms have been found to be more sensitive to selective media after freeze-drying. This increased sensitivity can be measured and thus the degree of sublethal injury can be determined as a function of various processing variables. In light of this, the use of selective media for the enrichment and detection of pathogens in freeze-dried products has to be reevaluated; indeed, the literature is now becoming abundant with such evaluations. In addition, the response of freeze-dried microorganisms has been found to be dependent on the medium in which they were grown; the phenomena of “metabolic injury” and “minimal medium recovery” are observed when microorganisms are grown in a complete and minimal medium, respectively. The expression of these two phenomena also can be used to assay for injury.Observations on the effects of freeze-drying on cell viability lead to the conclusion that freeze-drying is a complex stress. Damage to the cellular membrane structure and function, RNA integrity, and, possibly, DNA have been cited. The extrapolation of these macromolecular changes to specific viability responses for the purpose of elucidating the principal site of damage is still difficult. It is our opinion that the pre- and post-freeze-drying conditions to which the microorganisms are exposed can lead to a situation in which a particular macromolecular damage can become dominant over others, depending on the physiology of the cell.This knowledge can not only be applied for the purpose of improving detection of undesirable microbes but also for the preservation of desirable cultures, such as starter cultures in the dairy industry. Finally, the finding that microorganisms leak or release nucleic acids after freeze-drying, as they do after freezing and heating, can be applied to the problem of elimination of undesirable cytoplasmic components of organisms to be used as protein sources (4, 8).     

Enhancement and simplification of macromolecular images.

Computer graphics programs have been devised to display selected atomic features and to simplify images of complex macromolecular structures. By using boundary outlines, adjustment of size and shape of the molecular components, color coding, shading, and selective omission of obscuring detail, attention can be focused on specific interactions which determine higher levels of organization. A balanced color table has been constructed in which different hues have equal steps in brightness; this table has facilitated distinction of atom types and sequence coding together with representation of an optimum range of depth cueing and surface shading. The graphics system has been used with the atomic coordinates of the tobacco mosaic virus structure to simplify images of the protein subunit, to illustrate intermolecular interactions, and to relate subunit packing arrangements in different assemblies to the underlying atomic structure. The system has also been used to construct a schematic representation of the polyomavirus capsid, based on low resolution data. Application of artistic methods contributes to the effective presentation and interpretation of detailed scientific information about complex macromolecular structures.     

Structure, dynamics and functions of promyelocytic leukaemia nuclear bodies

The promyelocytic leukaemia (PML) tumour suppressor protein epitomizes the PML-nuclear body (PML-NB) and is crucially required for the proper assembly of this macromolecular nuclear structure. Unlike other, more specialized subnuclear structures such as Cajal and Polycomb group bodies, PML-NBs are functionally promiscuous and have been implicated in the regulation of diverse cellular functions. PML-NBs are dynamic structures that favour the sequestration and release of proteins, mediate their post-translational modifications and promote specific nuclear events in response to various cellular stresses. Recent data suggest that PML-NBs may be heterogeneous in composition, mobility and function.     

Studying cellular architecture in three dimensions with improved resolution: Ta replicas revisited

Metal replicas have been used for surface analysis of biological structures with a variety of spatial resolutions. Platinum (Pt) has been the metal of choice because it provides very stable replicas and images of high contrast. Some other metals, such as tantalum (Ta) have been reported to provide better resolution on isolated macromolecular complexes and cellular structures. Our goal is to study the gain in detail with Ta and to evaluate if it provides enough detail and resolution to assist in the study of complex volumes of intact cellular structures obtained by methods that reach molecular resolution. To this purpose Pt and Ta replicas of cellular structures and viruses have been studied by transmission electron microscopy (TEM). Replicas of Ta show new details on the surface of two types of isolated viral particles such as 100 nm bunyaviruses and large, > 300 nm, vaccinia virus (VV). Inside cells, the structural pieces that build VV immature particles are visualized only in Ta replicas. Looking for smaller intracellular complexes, new details are also seen in nuclear pores from Ta replicas. Additional masses, most likely representing the cargo during transport, are distinguished in some of the pores. Visualization of proteins in plasma membranes strongly suggests that detail and resolution of Ta replicas are similar to those estimated for 3D maps currently obtained by electron tomography of viruses and cells.     

Mining metabolites: extracting the yeast metabolome from the literature

Text mining methods have added considerably to our capacity to extract biological knowledge from the literature. Recently the field of systems biology has begun to model and simulate metabolic networks, requiring knowledge of the set of molecules involved. While genomics and proteomics technologies are able to supply the macromolecular parts list, the metabolites are less easily assembled. Most metabolites are known and reported through the scientific literature, rather than through large-scale experimental surveys. Thus it is important to recover them from the literature. Here we present a novel tool to automatically identify metabolite names in the literature, and associate structures where possible, to define the reported yeast metabolome. With ten-fold cross validation on a manually annotated corpus, our recognition tool generates an f-score of 78.49 (precision of 83.02) and demonstrates greater suitability in identifying metabolite names than other existing recognition tools for general chemical molecules. The metabolite recognition tool has been applied to the literature covering an important model organism, the yeast Saccharomyces cerevisiae, to define its reported metabolome. By coupling to ChemSpider, a major chemical database, we have identified structures for much of the reported metabolome and, where structure identification fails, been able to suggest extensions to ChemSpider. Our manually annotated gold-standard data on 296 abstracts are available as supplementary materials. Metabolite names and, where appropriate, structures are also available as supplementary materials.     

Creating abstract topographic representations: Implications for coding,learning and reasoning

Topographic maps are a fundamental and ubiquitous feature of the sensory and motor regions of the brain. There is less evidence for the existence of conventional topographic maps in associational areas of the brain such as the prefrontal cortex and parietal cortex. The existence of topographically arranged anatomical projections is far more widespread and occurs in associational regions of the brain as well as sensory and motor regions: this points to a more widespread existence of topographically organised maps within associational cortex than currently recognised. Indeed, there is increasing evidence that abstract topographic representations may also occur in these regions. For example, a topographic mnemonic map of visual space has been described in the dorsolateral prefrontal cortex and topographically arranged visuospatial attentional signals have been described in parietal association cortex. This article explores how abstract representations might be extracted from sensory topographic representations and subsequently code abstract information. Finally a simple model is presented that shows how abstract topographic representations could be integrated with other information within the brain to solve problems or form abstract associations. The model uses correlative firing to detect associations between different types of stimuli. It is flexible because it can produce correlations between information represented in a topographic or non-topographic coordinate system. It is proposed that a similar process could be used in high-level cognitive operations such as learning and reasoning.     

Fitting of high-resolution structures into electron microscopy reconstruction images

Dynamic macromolecular assemblies, such as ribosomes, viruses, and muscle protein complexes, are often more amenable to visualization by electron microscopy than by high-resolution X-ray crystallography or NMR. When high-resolution structures of component structures are available, it is possible to build an atomic model that gives information about the molecular interactions at greater detail than the experimental resolution, due to constraints of modeling placed upon the interpretation. There are now several competing computational methods to search systematically for orientations and positions of components that match the experimental image density, and continuing developments will be reviewed. Attention is now also moving toward the related task of optimization, with flexible and/or multifragment models and sometimes with stereochemically restrained refinement methods. This paper will review the various approaches and describe advances in the authors' methods and applications of real-space refinement.