Context-dependence of the contribution of disulfide bonds to beta-hairpin stability

Incorporation of disulfide bonds to stabilize protein and peptide structures is not always a successful strategy. To advance current knowledge on the contribution of disulfide bonds to beta-hairpin stability, a previously reported beta-hairpin-forming peptide was taken as a template to design a series of Cys-containing peptides. The conformational behavior of these peptides in their oxidized, disulfide-cyclized peptides, and reduced, linear peptides, was investigated on the basis of NMR parameters: NOEs, and 1H and 13C chemical shifts. We found that the effect of disulfide bonds on beta-hairpin stability depends on its location within the beta-hairpin structure, being very small or even destabilizing when connecting two hydrogen-bonded facing residues. When the disulfide bond is linking non-hydrogen-bonded facing residues, we estimated that its contribution to the free-energy change of beta-hairpin folding is approximately -1.0 kcal mol(-1). This value is larger than those reported for most beta-hairpin-stabilizing cross-strand side-chain-side-chain interactions, except for some aromatic-aromatic interactions, in particular the Trp-Trp one, and the cation-pi interaction between Trp and the non-natural methylated Arg/Lys. As disulfide bonds are frequently used to stabilize peptide conformations, our conclusions can be useful for peptide, peptidomimetic, and protein design, and may even extend to other chemical cross-links.     

What can we learn from single molecule trajectories?

Diffusing membrane constituents are constantly exposed to a variety of forces that influence their stochastic path. Single molecule experiments allow for resolving trajectories at extremely high spatial and temporal accuracy, thereby offering insights into en route interactions of the tracer. In this review we discuss approaches to derive information about the underlying processes, based on single molecule tracking experiments. In particular, we focus on a new versatile way to analyze single molecule diffusion in the absence of a full analytical treatment. The method is based on comprehensive comparison of an experimental data set against the hypothetical outcome of multiple experiments performed on the computer. Since Monte Carlo simulations can be easily and rapidly performed even on state-of-the-art PCs, our method provides a simple way for testing various - even complicated - diffusion models. We describe the new method in detail, and show the applicability on two specific examples: firstly, kinetic rate constants can be derived for the transient interaction of mobile membrane proteins; secondly, residence time and corral size can be extracted for confined diffusion.     

Tandem Mass Spectrometric Characterization of Fetuin Sialylated Glycopeptides Enriched by TiO2 Microcolumn

Sialylation of glycoproteins is vital for the function or physicochemical properties of a protein. It becomes more and more important to develop approaches that can be used to efficiently isolate and identify sialylated glycopeptides or glycoproteins for monitoring changes in glycoproteome. In the present study, we analyze intact structures of the enriched sialylated glycopeptides of bovine fetuin by matrix‐assisted laser desorption/ionization‐tandem mass spectrometry (MALDI‐MS/MS), without any chemical derivation. The experimental data show that the optimal loading buffer for TiO₂ as matrix is 80% acetonitrile/2% TFA (trifluoroacetic acid)/100 mg/mL DHB (2,5‐dihydroxybenzoic acid) which is also compatible with MALDI‐mass spectrometric analysis. This study indicates that the improved enrichment approach combined with MALDI‐MS/MS may be a powerful tool to analyze intact structures and components of the sialylated glycopeptides from complex peptide mixture.     

Approaches for the detection and analysis of antidrug antibodies to biopharmaceuticals: A review

Antibody-based therapeutic agents and other biopharmaceuticals are now used in the treatment of many diseases. However, when these biopharmaceuticals are administrated to patients, an immune reaction may occur that can reduce the drug's efficacy and lead to adverse side-effects. The immunogenicity of biopharmaceuticals can be evaluated by detecting and measuring antibodies that have been produced against these drugs, or antidrug antibodies. Methods for antidrug antibody detection and analysis can be important during the selection of a therapeutic approach based on such drugs and is crucial when developing and testing new biopharmaceuticals. This review examines approaches that have been used for antidrug antibody detection, measurement, and characterization. Many of these approaches are based on immunoassays and antigen binding tests, including homogeneous mobility shift assays. Other techniques that have been used for the analysis of antidrug antibodies are capillary electrophoresis, reporter gene assays, surface plasmon resonance spectroscopy, and liquid chromatography-mass spectrometry. The general principles of each approach will be discussed, along with their recent applications with regards to antidrug antibody analysis.     

Single-nucleotide-specific PNA-peptide ligation on synthetic and PCR DNA templates

DNA-directed chemical synthesis has matured into a useful tool with applications such as fabrication of defined (nano)molecular architectures, evolution of amplifiable small-molecule libraries, and nucleic acid detection. Most commonly, chemical methods were used to join oligonucleotides under the control of a DNA or RNA template. The full potential of chemical ligation reactions can be uncovered when nonnatural oligonucleotide analogues that can provide new opportunities such as increased stability, DNA affinity, hybridization selectivity, and/or ease and accuracy of detection are employed. It is shown that peptide nucleic acid (PNA) conjugates, nonionic biostable DNA analogues, allowed the fashioning of highly chemoselective and sequence-selective peptide ligation methods. In particular, PNA-mediated native chemical ligations proceed with sequence selectivities and ligation rates that reach those of ligase-catalyzed oligodeoxynucleotide reactions. Usually, sequence-specific ligations can only be achieved by employing short-length probes, which show DNA affinities that are too low to allow stable binding to target segments in large, double-stranded DNA. It is demonstrated that the PNA-based ligation chemistry allowed the development of a homogeneous system in which rapid single-base mutation analyses can be performed even on double-stranded PCR DNA templates.     

Quantitative mass spectrometry in proteomics: a critical review

The quantification of differences between two or more physiological states of a biological system is among the most important but also most challenging technical tasks in proteomics. In addition to the classical methods of differential protein gel or blot staining by dyes and fluorophores, mass-spectrometry-based quantification methods have gained increasing popularity over the past five years. Most of these methods employ differential stable isotope labeling to create a specific mass tag that can be recognized by a mass spectrometer and at the same time provide the basis for quantification. These mass tags can be introduced into proteins or peptides (i) metabolically, (ii) by chemical means, (iii) enzymatically, or (iv) provided by spiked synthetic peptide standards. In contrast, label-free quantification approaches aim to correlate the mass spectrometric signal of intact proteolytic peptides or the number of peptide sequencing events with the relative or absolute protein quantity directly. In this review, we critically examine the more commonly used quantitative mass spectrometry methods for their individual merits and discuss challenges in arriving at meaningful interpretations of quantitative proteomic data.     

Statistical evaluation of accelerated stability data obtained at a single temperature. I. Effect of experimental errors in evaluation of stability data obtained

Accelerated stability data obtained at a single temperature is statistically evaluated, and the utility of such data for assessment of stability is discussed focussing on the chemical stability of solution-state dosage forms. The probability that the drug content of a product is observed to be within the lower specification limit in the accelerated test is interpreted graphically. This probability depends on experimental errors in the assay and temperature control, as well as the true degradation rate and activation energy. Therefore, the observation that the drug content meets the specification in the accelerated testing can provide only limited information on the shelf-life of the drug, without the knowledge of the activation energy and the accuracy and precision of the assay and temperature control.     

Phenotypic taxonomy and metabolite profiling in microbial drug discovery

Microorganisms and in particular actinomycetes and microfungi are known to produce a vast number of bioactive secondary metabolites. For industrially important fungal genera such as Penicillium and Aspergillus the production of these compounds has been demonstrated to be very consistent at the species level. This means that direct metabolite profiling techniques such as direct injection mass spectrometry or NMR can easily be used for chemotyping/metabolomics of strains from both culture collections and natural samples using modern informatics tools. In this review we discuss chemotyping/metabolomics as part of intelligent screening and highlight how it can be used for identification and classification of filamentous fungi and for the discovery of novel compounds when used in combination with modern methods for dereplication. In our opinion such approaches will be important for future effective drug discovery strategies, especially for dereplication of culture collections in order to avoid redundancy in the selection of species. This will maximize the chemical diversity of the microbial natural product libraries that can be generated from fungal collections.     

Flow Injection and Related Techniques in Blood Studies for Clinical Screening and Analysis: A Review

Blood studies for clinical screening/analysis are geared toward point of care testing. Flow based techniques have expanded their applications with unique approaches that may be adaptable for use as alternative disease screening/diagnosis. Many newly developed systems for solution based chemical analysis can be easily adapted for use with plasma and serum. However, cell and intracellular analyses are different. Blood cell analyses require a particular way of sample introduction and detection. This review emphasizes the applications of flow based techniques, especially those that were coupled with FI/SI, in clinical studies through analysis of red blood cells and their intracellular substances.     

Emerging Methods and Design Principles for Cell‐Penetrant Peptides

Biomolecules such as antibodies, proteins, and peptides are important tools for chemical biology and leads for drug development. They have been used to inhibit a variety of extracellular proteins, but accessing intracellular proteins has been much more challenging. In this review, we discuss diverse chemical approaches that have yielded cell‐penetrant peptides and identify three distinct strategies: masking backbone amides, guanidinium group patterning, and amphipathic patterning. We summarize a growing number of large data sets, which are starting to reveal more specific design guidelines for each strategy. We also discuss advantages and disadvantages of current methods for quantifying cell penetration. Finally, we provide an overview of best‐odds approaches for applying these new methods and design principles to optimize cytosolic penetration for a given bioactive peptide.     

Light metal hydrides and complex hydrides for hydrogen storage

The availability of feasible methods for hydrogen storage is one of the key-maybe the key-requirements for the large scale application of PEM fuel cells in cars. There are in principle four different approaches, i.e. cryostorage in liquid form, high pressure storage, storage in the form of a chemical compound which is converted to hydrogen by on-board reforming, or reversible chemical storage in different kinds of storage materials. New developments in the field of chemical storage make such systems attractive compared to the other options. This review will discuss the different possibilities for chemical storage of hydrogen and the focus on the presently most advanced system with respect to storage capacity and kinetics, i.e. catalyzed alanates, especially NaAlH(4).     

From simple surface models to lipid membranes: Universal aspects of the hydration interaction from solvent-explicit simulations

A review of atomistic simulation approaches including explicit water for the study of hydration forces between polar surfaces is presented. In particular, we discuss different methods for keeping the chemical potential of water constant and compare advantages and limitations of each method. It turns out that modifications of hydration forces due to surface softness can be accounted for by a convolution over the surface shape profile. Universal aspects of the hydration interaction observed in simulations of different surface chemistries are highlighted, while special attention is given to hydration forces between self-assembled phospholipid membranes.     

Protonation and coordination ability of small peptides – theoretical and experimental approaches for elucidation

This review deals with modern theoretical and experimental approaches as well as structural elucidation of small peptides (SP), their protonated forms and metal complexes. Free peptide bond rotation in amino acids (AA) and peptides yielded various conformers, which may possess differing biological activities. Inter- and/or intramolecular stacking observed in aromatic SP is another phenomenon typical for both peptide salts and complexes. These phenomenological effects can be successfully studied, both theoretically and experimentally, using a combination of the theoretical approximations and physical methods, such as electronic absorption spectroscopy, vibrational spectroscopy (including IR and Raman), nuclear magnetic resonance, mass spectrometry, as well as single-crystal X-ray diffraction. The physical and chemical properties of these systems can be precisely calculated by ab initio and DFT methods, varying basis sets and the results obtained allow elucidation of their conformations as a function of the reaction conditions (pH, type of the solvent, temperature, metal to ligand molar ratio). Although the 3-D structures of many peptides have been determined over the past decades, peptide crystallization is still a major obstacle to crystallographic work and the presence of chiral center/s adds further difficulties. For this reason, a specific part of the review is focused on the study of the absolute structure of the peptides, their salts and metal complexes, discussing the conformational preferences of the peptides during these processes. The available crystallographic data for metal complexes are successfully used for the correlation between the structures and the spectroscopic properties.     

Modulating Protein–Protein Interactions by Cyclic and Macrocyclic Peptides. Prominent Strategies and Examples

Cyclic and macrocyclic peptides constitute advanced molecules for modulating protein–protein interactions (PPIs). Although still peptide derivatives, they are metabolically more stable than linear counterparts, and should have a lower degree of flexibility, with more defined secondary structure conformations that can be adapted to imitate protein interfaces. In this review, we analyze recent progress on the main methods to access cyclic/macrocyclic peptide derivatives, with emphasis in a few selected examples designed to interfere within PPIs. These types of peptides can be from natural origin, or prepared by biochemical or synthetic methodologies, and their design could be aided by computational approaches. Some advances to facilitate the permeability of these quite big molecules by conjugation with cell penetrating peptides, and the incorporation of β-amino acid and peptoid structures to improve metabolic stability, are also commented. It is predicted that this field of research could have an important future mission, running in parallel to the discovery of new, relevant PPIs involved in pathological processes.     

Bias analysis of proficiency testing programme results

A proficiency testing programme might involve a great number of participating laboratories coming from different countries or regions, and normally they analysed the same test materials using their own routine analytical methods. Hence, the results of a proficiency testing programme may contain valuable information which could serve purposes other than just performance evaluation. This study attempted to extract information from the results of a proficiency testing programme for the purposes of educating the participating laboratories as suggested by ISO/IEC 17043. The “bias analysis” approach introduced in this study was based on the statistical model of measurement and the nature of bias in chemical analysis. With this approach, the participating laboratories could estimate the bias associated with different settings of experimental conditions according to the statistics of subset distribution of the reported results from the participating laboratories. This would be useful for them to review the analytical procedures they used and modify their methods if needed. The approach was applied to the analysis of data obtained from a number of past proficiency testing programmes, and the findings were discussed in this paper.     

A review of electrolyte additives and impurities in vanadium redox flow batteries

As one of the most important components of the vanadium redox flow battery(VRFB), the electrolyte can impose a significant impact on cell properties, performance and capital cost. In particular, the electrolyte composition will influence energy density, operating temperature range and the practical applications of the VRFB. Various approaches to increase the energy density and operating temperature range have been proposed. The presence of electrolyte impurities, or the addition of a small amount of other chemical species into the vanadium solution can alter the stability of the electrolyte and influence cell performance, operating temperature range, energy density, electrochemical kinetics and cost effectiveness. This review provides a detailed overview of research on electrolyte additives including stabilizing agents, immobilizing agents, kinetic enhancers, as well as electrolyte impurities and chemical reductants that can be used for different purposes in the VRFBs.     

Computer simulations study of biomolecules in non-aqueous or cosolvent/water mixture solutions

Pure organic solvents or mixtures with water are very common environments for studying protein and peptide in solution. These milieu conditions are used either for improving the catalytic performance of enzymes or for studying the effect of solvent on the protein stability and hence gaining insight into the protein folding mechanism. The atomic details of these processes are mainly addressed using computer simulation approaches. In particular, Molecular Dynamics simulation represents the most powerful and versatile tool to investigate the details of solvation processes at atomic level. In the last few years, the number of publications peptide and protein simulations in non-natural environments has proliferated. These studies are providing important contributions to shed light on the nature of non-aqueous solvent effects. In this review, the achievements and the future prospects in this field of computational biochemistry are reviewed by summarizing the most important theoretical results published in the last 10 years.     

Influence of blend microstructure on bulk heterojunction organic photovoltaic performance

The performance of organic photovoltaic devices based upon bulk heterojunction blends of donor and acceptor materials has been shown to be highly dependent on the thin film microstructure. In this tutorial review, we discuss the factors responsible for influencing blend microstructure and how these affect device performance. In particular we discuss how various molecular design approaches can affect the thin film morphology of both the donor and acceptor components, as well as their blend microstructure. We further examine the influence of polymer molecular weight and blend composition upon device performance, and discuss how a variety of processing techniques can be used to control the blend microstructure, leading to improvements in solar cell efficiencies.     

The immune diversity in a test tube--non-immunised antibody libraries and functional variability in defined protein scaffolds

Technologies to develop and evolve the function of proteins and, in particular, antibodies have developed rapidly since the introduction of phage display. Importantly, it has become possible to identify molecules with binding properties that cannot be found by other means. A range of different approaches to create general libraries that are useful for the selection of such molecules specific for essentially any kind of target have emerged. We herein review some of the most prominent approaches in the field and in particular discuss specific features related to the development of antibody libraries based on single antibody framework scaffolds. This approach not only permits identification of a range of specific binders, but also facilitates further evolution of initially derived molecules into molecules with optimised functions.     

Copper(II) interaction with amyloid-β: Affinity and speciation

Numerous conflicting values have been proposed regarding the affinity of Cu²⁺ for amyloid-β (Aβ) peptide, the causative agent of Alzheimer's disease. In the present review, we critically compare the two approaches employed so far (the K_d and the stability constant approach) to express the affinity of copper(II) for the amyloid-β (Aβ) peptide and highlight the limits and the advantages of the two approaches. We also analyze the conditions employed for some experiments, which we have taken as examples, highlighting some of the points that may have generated the deriving divergent propositions. Through the analysis of the species distribution, we show the implications that a correct speciation may have on data interpretation as well as on experiment planning. By doing so, this review aims at shifting the perspective on the binding issue from the classic K_d approach, based on low and high affinity binding sites – often referred to as component I and II, or form I and II – to stoichiometry determination and, as a consequence, to the speciation of Cu–Aβ complexes. Additionally, this review has the purpose of demonstrating that a quantitative assessment of the coordination sphere is complicated by the variety of equilibria often occurring over a relatively narrow pH range.