Complexity of chemical communication in mammals: urinary components mediating sex discrimination by male guinea pigs

Male guinea pigs are more attracted to urine from female guinea pigs than to urine from males. Separation of urine into fractions characterized by molecular weight and functionality through several different methods established that this discrimination and preference is based on a pattern of components which have widely different chemical character. The active compounds range from macromolecules (MW >10,000) to small, relatively volatile molecules. These studies establish a complexity in chemical signals that has not been previously documented for any other species.     

Synthesis of bioorthogonal and crosslinking amino acids for use in peptide synthesis

The ability to incorporate non-canonical amino acids into proteins by genetic or chemical methods allows one to introduce novel chemical properties into a protein at a defined residue. Such a residue may then be modified using common organic transformations. In this way, the structure or function of the peptide may be altered without perturbing any of the other neighbouring amino acids in the peptide chain. Here, we describe the syntheses and potential applications of multiple para-substituted phenylalanine derivatives comprising an isothiocyanate, α-diazoketone, or nitrone functionality. In all, three novel amino acids were synthesized in good overall yields. These non-canonical amino acids permit the further development of in vitro and in vivo chemoselective and regioselective bioconjugate reactions not possible with other reagents.     

Chemical modification of enzymes for enhanced functionality.

The explosion in commercial and synthetic applications of enzymes has stimulated much of the interest in enhancing enzyme functionality and stability. Covalent chemical modification, the original method available for altering protein properties, has now re-emerged as a powerful complementary approach to site-directed mutagenesis and directed evolution for tailoring proteins and enzymes. Glutaraldehyde crosslinking of enzyme crystals and polyethylene glycol (PEG) modification of enzyme surface amino groups are practical methods to enhance biocatalyst stability. Whereas crosslinking of enzyme crystals generates easily recoverable insoluble biocatalysts, PEGylation increases solubility in organic solvents. Chemical modification has been exploited for the incorporation of cofactors onto protein templates and for atom replacement in order to generate new functionality, such as the conversion of a hydrolase into a peroxidase. Despite the breadth of applicability of chemically modified enzymes, a difficulty that has previously impeded their implementation is the lack of chemo- or regio-specificity of chemical modifications, which can yield heterogeneous and irreproducible product mixtures. This challenge has recently been addressed by the introduction of a unique position for modification by a site-directed mutation that can subsequently be chemically modified to introduce an unnatural amino acid sidechain in a highly chemo- and regio-specific manner.     

Structural analysis of alpha-helical proteins from wool using cysteine labelling and mass spectrometry

A simple reduction/labelling/extraction protocol has been developed to fractionate cortical matrix proteins from filament proteins in wool. Through differential labelling of cysteine residues their relative accessibility in the wool fibre has been investigated. This has allowed the preliminary development of a map of the chemical functionality that is accessible within wool fibres under native conditions. Protein analyses of wool subjected to mechanical action, wet chemical permonosulphate/sulphite treatment and dry argon plasma treatment revealed that none of these detectably improved the accessibility of functional groups at the wool cortex. It is anticipated that this analytical method can be extended to improve the sensitivity and scope with which chemical functionality within native fibres can be mapped and lead to a better understanding of the potential limits/opportunities for fibre modification.     

Advances in the mechanism and understanding of site-selective noncanonical amino acid incorporation

There are many approaches to introduce non-native functionality into proteins either translationally or post-translationally. When a noncanonical amino acid (NAA) is incorporated translationally, the host organism's existing translational machinery is relied upon to insert the amino acid by the same well-established mechanisms used by the host to achieve high fidelity insertion of its canonical amino acids. Research into the in vivo incorporation of NAAs has typically concentrated on evolving or engineering aminoacyl tRNA synthetases (aaRSs); however, new studies have increasingly focused on other members of the translational apparatus, for example entire ribosomes, in attempts to increase the fidelity and efficiency of incorporation of ever more structurally diverse NAAs. As the biochemical methods of NAA systems increase in complexity, it is informative to ask whether the 'rules' for canonical translation (i.e. aaRSs, tRNA, ribosomes, elongation factors, amino acid uptake, and metabolism) hold for NAA systems, or whether new rules are warranted. Here, recent advances in introducing novel chemical functionality into proteins are highlighted.     

Structure-based protein design with deep learning

Since the first revelation of proteins functioning as macromolecular machines through their three dimensional structures, researchers have been intrigued by the marvelous ways the biochemical processes are carried out by proteins. The aspiration to understand protein structures has fueled extensive efforts across different scientific disciplines. In recent years, it has been demonstrated that proteins with new functionality or shapes can be designed via structure-based modeling methods, and the design strategies have combined all available information — but largely piece-by-piece — from sequence derived statistics to the detailed atomic-level modeling of chemical interactions. Despite the significant progress, incorporating data-derived approaches through the use of deep learning methods can be a game changer. In this review, we summarize current progress, compare the arc of developing the deep learning approaches with the conventional methods, and describe the motivation and concepts behind current strategies that may lead to potential future opportunities.     

Chemoenzymatic methods for site-specific protein modification

In the past decade, numerous chemical technologies have been developed to allow the site-specific post-translational modification of proteins. Traditionally covalent chemical protein modification has been accomplished by the attachment of synthetic groups to nucleophilic amino acids on protein surfaces. These chemistries, however, are rarely sufficiently selective to distinguish one residue within a literal sea of chemical functionality. One solution to this problem is to introduce a unique chemical handle into the target protein that is orthogonal to the remainder of the proteome. In practice, this handle can be a novel peptide sequence, which forms a 'tag' that is selectively and irreversibly modified by enzymes. Furthermore, if the enzymes can tolerate substrate analogs, it becomes possible to engineer chemically modified proteins in a site-specific fashion. This review details the significant progress in creating techniques for the chemoenzymatic generation of protein-small molecule constructs and provides examples of novel applications of these methodologies.     

One-step refolding and purification of disulfide-containing proteins with a C-terminal MESNA thioester

Background  

Expression systems based on self-cleavable intein domains allow the generation of recombinant proteins with a C-terminal thioester. This uniquely reactive C-terminus can be used in native chemical ligation reactions to introduce synthetic groups or to immobilize proteins on surfaces and nanoparticles. Unfortunately, common refolding procedures for recombinant proteins that contain disulfide bonds do not preserve the thioester functionality and therefore novel refolding procedures need to be developed.     

Protein φ and ψ dihedral restraints determined from multidimensional hypersurface correlations of backbone chemical shifts and their use in the determination of protein tertiary structures

The chemical shifts of the backbone atoms of proteins can be used to obtainrestraints that can be incorporated into structure determination methods. Eachchemical shift can be used to define a restraint and these restraints can besimultaneously used to define the local, secondary structure features. Theglobal fold can be determined by a combined use of the chemical shift basedrestraints along with the long-range information present in the NOEs ofpartially deuterated proteins or the amide–amide NOEs but not from suchlimited NOE data sets alone. This approach has been demonstrated to be capableof determining the overall folding pattern of four proteins. This suggeststhat solution-state NMR methods can be extended to the structure determinationof larger proteins by using the information present in the chemical shifts ofthe backbone atoms along with the data that can be obtained on a small numberof labeled forms.     

Fluorine: a new element in protein design

Fluorocarbons are quintessentially man-made molecules, fluorine being all but absent from biology. Perfluorinated molecules exhibit novel physicochemical properties that include extreme chemical inertness, thermal stability, and an unusual propensity for phase segregation. The question we and others have sought to answer is to what extent can these properties be engineered into proteins? Here, we review recent studies in which proteins have been designed that incorporate highly fluorinated analogs of hydrophobic amino acids with the aim of creating proteins with novel chemical and biological properties. Fluorination seems to be a general and effective strategy to enhance the stability of proteins, both soluble and membrane bound, against chemical and thermal denaturation, although retaining structure and biological activity. Most studies have focused on small proteins that can be produced by peptide synthesis as synthesis of large proteins containing specifically fluorinated residues remains challenging. However, the development of various biosynthetic methods for introducing noncanonical amino acids into proteins promises to expand the utility of fluorinated amino acids in protein design.     

Production of phycocyanin—a pigment with applications in biology, biotechnology, foods and medicine

C-phycocyanin (C-PC) is a blue pigment in cyanobacteria, rhodophytes and cryptophytes with fluorescent and antioxidative properties. C-PC is presently extracted from open pond cultures of the cyanobacterium Arthrospira platensis although these cultures are not very productive and open for contaminating organisms. C-PC is considered a healthy ingredient in cyanobacterial-based foods and health foods while its colouring, fluorescent or antioxidant properties are utilised only to a minor extent. However, recent research and developments in C-PC synthesis and functionality have expanded the potential applications of C-PC in biotechnology, diagnostics, foods and medicine: The productivity of C-PC has been increased in heterotrophic, high cell density cultures of the rhodophyte Galdieria sulphuraria that are grown under well-controlled and axenic conditions. C-PC purification protocols based on various chromatographic principles or novel two-phase aqueous extraction methods have expanded in numbers and improved in performance. The functionality of C-PC as a fluorescent dye has been improved by chemical stabilisation of C-PC complexes, while protein engineering has also introduced increased stability and novel biospecific binding sites into C-PC fusion proteins. Finally, our understanding of the physiological functions of C-PC in humans has been improved by a mechanistic hypothesis that links the chemical properties of the phycocyanobilin chromophores of C-PC to the natural antioxidant, bilirubin, and may explain the observed health benefits of C-PC intake. This review outlines how C-PC is produced and utilised and discusses the novel C-PC synthesis procedures and applications.     

Membrane protein synthesis in cell-free systems: From bio-mimetic systems to bio-membranes

When taking up the gauntlet of studying membrane protein functionality, scientists are provided with a plethora of advantages, which can be exploited for the synthesis of these difficult-to-express proteins by utilizing cell-free protein synthesis systems. Due to their hydrophobicity, membrane proteins have exceptional demands regarding their environment to ensure correct functionality. Thus, the challenge is to find the appropriate hydrophobic support that facilitates proper membrane protein folding. So far, various modes of membrane protein synthesis have been presented. Here, we summarize current state-of-the-art methodologies of membrane protein synthesis in biomimetic-supported systems. The correct folding and functionality of membrane proteins depend in many cases on their integration into a lipid bilayer and subsequent posttranslational modification. We highlight cell-free systems utilizing the advantages of biological membranes.     

Refining protein subcellular localization

The study of protein subcellular localization is important to elucidate protein function. Even in well-studied organisms such as yeast, experimental methods have not been able to provide a full coverage of localization. The development of bioinformatic predictors of localization can bridge this gap. We have created a Bayesian network predictor called PSLT2 that considers diverse protein characteristics, including the combinatorial presence of InterPro motifs and protein interaction data. We compared the localization predictions of PSLT2 to high-throughput experimental localization datasets. Disagreements between these methods generally involve proteins that transit through or reside in the secretory pathway. We used our multi-compartmental predictions to refine the localization annotations of yeast proteins primarily by distinguishing between soluble lumenal proteins and soluble proteins peripherally associated with organelles. To our knowledge, this is the first tool to provide this functionality. We used these sub-compartmental predictions to characterize cellular processes on an organellar scale. The integration of diverse protein characteristics and protein interaction data in an appropriate setting can lead to high-quality detailed localization annotations for whole proteomes. This type of resource is instrumental in developing models of whole organelles that provide insight into the extent of interaction and communication between organelles and help define organellar functionality.     

Recent advances in microfluidic technologies for biochemistry and molecular biologys

Advances in the fields of proteomics and genomics have necessitated the development of high-throughput screening methods (HTS) for the systematic transformation of large amounts of biological chemical data into an organized database of knowledge. Microfluidic systems are ideally suited for high-throughput biochemical experimentation since they offer high analytical throughput, consume minute quantities of expensive biological reagents, exhibit superior sensitivity and functionality compared to traditional micro-array techniques and can be integrated within complex experimental work flows. A range of basic biochemical and molecular biological operations have been transferred to chip-based microfluidic formats over the last decade, including gene sequencing, emulsion PCR, immunoassays, electrophoresis, cell-based assays, expression cloning and macromolecule blotting. In this review, we highlight some of the recent advances in the application of microfluidics to biochemistry and molecular biology.     

Non-canonical amino acids in protein engineering

Methods for engineering proteins that contain non-canonical amino acids have advanced rapidly in the past few years. Novel amino acids can be introduced into recombinant proteins in either a residue-specific or site-specific fashion. The methods are complementary: residue-specific incorporation allows engineering of the overall physical and chemical behavior of proteins and protein-like macromolecules, whereas site-specific methods allow mechanistic questions to be probed in atomistic detail. Challenges remain in the engineering of the translational apparatus and in the design of schemes that can be used to encode both canonical and non-canonical amino acids.     

Prediction of toxicity from chemical structure

The basis for the prediction of toxicity from chemical structure is that the properties of a chemical are implicit in its molecular structure. Biological activity can be expressed as a function of partition and reactivity, that is, for a chemical to be able to express its toxicity, it must be transported from its site of administration to its site of action and then it must bind to or react with its receptor or target. This process may also involve metabolic transformation of the chemical. The application of these principles to the prediction of the toxicity of new or untested chemicals has been achieved in a number of different ways covering a wide range of complexity, from computer systems containing databases of hundreds of chemicals, to simple "reading across" between chemicals with similar chemical/toxicological functionality. The common feature of the approaches described in this article is that their starting point is a mechanistic hypothesis linking chemical structure and/or functionality with the toxicological endpoint of interest. The prediction of toxicity from chemical structure can make a valuable contribution to the reduction of animal usage in the screening out of potentially toxic chemicals at an early stage and in providing data for making positive classifications of toxicity. This revised version was published online in July 2006 with corrections to the Cover Date.     

Comparison of the chemical and thermal denaturation of proteins by a two-state transition model

The conformational stabilities of eight proteins in terms of the free energy differences between the native "folded" state of the protein and its "unfolded" state were determined at 298 K by two methods: chemical denaturation at 298 K and extrapolation to 298 K of the thermal denaturation results at high temperature. The proteins were expressed in Escherichia coli from the Haemophilus influenzae and E. coli genes at different levels of expression, covered a molecular mass range from 13 to 37 kg mol(-1) per monomeric unit (some exhibiting unique structural features), and were oligomeric up to four subunits. The free energy differences were determined by application of a two-state transition model to the chemical and thermal denaturation results, ranged from 9.4 to 148 kJ mol(-1) at 298 K, and were found to be within the experimental uncertainties of both methods for all of the proteins. Any contributions from intermediate states detectable from chemical and thermal denaturation differences in the unfolding free energy differences in these proteins are within the experimental uncertainties of both methods.     

Protein dynamics and 1/f noise.

It has long been recognized that protein dynamical processes occur over a wide temporal range. However, the functionality of this spectrum of events remains unclear. In this work, a generalized noise function analysis is applied to a collection of diverse protein dynamical systems. It is shown that a power law model with an oscillatory component can adequately describe the time course of a variety of processes. These results suggest that under the appropriate conditions, proteins are in a metastable state. A microscopic, chemical kinetic model based on a Poisson distribution of activation energies is presented. From this model specific functional forms for the parameters of the generalized noise model can be derived. Additionally, a model is presented to described kinetic hole burning effects observed at low temperatures. Scaling laws are derived for these models that provide a connection with the generalized noise analysis.     

Designing redox potential-controlled protein switches based on mutually exclusive proteins

Synthetic/artificial protein switches provide an efficient means of controlling protein functions using chemical signals and stimuli. Mutually exclusive proteins, in which only the host or guest domain can remain folded at a given time owing to conformational strain, have been used to engineer novel protein switches that can switch enzymatic functions on and off in response to ligand binding. To further explore the potential of mutually exclusive proteins as protein switches and sensors, we report here a new redox-based approach to engineer a mutually exclusive folding-based protein switch. By introducing a disulfide bond into the host domain of a mutually exclusive protein, we demonstrate that it is feasible to use redox potential to switch the host domain between its folded and unfolded conformations via the mutually exclusive folding mechanism, and thus switching the functionality of the host domain on and off. Our study opens a new and potentially general avenue that uses mutually exclusive proteins to design novel switches able to control the function of a variety of proteins.     

Protein migration from transplanted nuclei in Amoeba proteus. II. An electrophoretic study

Recently, we showed that protein migration from a nucleus transplanted into a host amoeba involved two classes of nuclear proteins. The chemical character of these proteins has now been investigated using isoelectric focusing and SDS gel electrophoresis. The proteins which migrated into the host cytoplasm from the transplanted nucleus have a range of isoelectric points (pI) between 7.0 and 7.6, and a molecular weight (MW) range of 9 000–110 000 D. This class is likely to be involved with the nucleocytoplasmic transfer of RNA. The second class of migratory proteins had a lower MW and pI range; the majority were between 11 000 and 45 000 D, with pIs between 5.9 and 7.0. This class of migratory proteins exhibited a shuttling character, possibly functioning as cytoplasmic regulators of nuclear activities.