In this study we investigate π-stacking interactions of a variety of aromatic heterocycles with benzene using dispersion corrected density functional theory. We calculate extensive potential energy surfaces for parallel-displaced interaction geometries. We find that dispersion contributes significantly to the interaction energy and is complemented by a varying degree of electrostatic interactions. We identify geometric preferences and minimum interaction energies for a set of 13 5- and 6-membered aromatic heterocycles frequently encountered in small drug-like molecules. We demonstrate that the electrostatic properties of these systems are a key determinant for their orientational preferences. The results of this study can be applied in lead optimization for the improvement of stacking interactions, as it provides detailed energy landscapes for a wide range of coplanar heteroaromatic geometries. These energy landscapes can serve as a guide for ring replacement in structure-based drug design.

The imminent threat of influenza pandemics and repeatedly reported emergence of new drug-resistant influenza virus strains demonstrate the urgent need for developing innovative and effective antiviral agents for prevention and treatment. At present, influenza neuraminidase (NA), a key enzyme in viral replication, spread, and pathogenesis, is considered to be one of the most promising targets for combating influenza. Despite the substantial medical potential of NA inhibitors (NAIs), only three of these drugs are currently on the market (zanamivir, oseltamivir, and peramivir). Moreover, sudden changes in NAI susceptibility revealed the urgent need in the discovery/identification of novel inhibitors. Nature offers an abundance of biosynthesized compounds comprising chemical scaffolds of high diversity, which present an infinite pool of chemical entities for target-oriented drug discovery in the battle against this highly contagious pathogen. This review illuminates the increasing research efforts of the past decade (2000-2011), focusing on the structure, function and druggability of influenza NA, as well as its inhibition by natural products. Following a critical discussion of publications describing some 150 secondary plant metabolites tested for their inhibitory potential against influenza NA, the impact of three different strategies to identify and develop novel NAIs is presented: (i) bioactivity screening of herbal extracts, (ii) exploitation of empirical knowledge, and (iii) computational approaches. This work addresses the latest developments in theoretical and experimental research on properties of NA that are and will be driving anti-influenza drug development now and in the near future.

A purely information theory-guided approach to quantitatively characterize protease specificity is established. We calculate an entropy value for each protease subpocket based on sequences of cleaved substrates extracted from the MEROPS database. We compare our results with known subpocket specificity profiles for individual proteases and protease groups (e.g. serine proteases, metallo proteases) and reflect them quantitatively. Summation of subpocket-wise cleavage entropy contributions yields a measure for overall protease substrate specificity. This total cleavage entropy allows ranking of different proteases with respect to their specificity, separating unspecific digestive enzymes showing high total cleavage entropy from specific proteases involved in signaling cascades. The development of a quantitative cleavage entropy score allows an unbiased comparison of subpocket-wise and overall protease specificity. Thus, it enables assessment of relative importance of physicochemical and structural descriptors in protease recognition. We present an exemplary application of cleavage entropy in tracing substrate specificity in protease evolution. This highlights the wide range of substrate promiscuity within homologue proteases and hence the heavy impact of a limited number of mutations on individual substrate specificity.

Streptococcus (S.) pneumoniae is a major cause of secondary bacterial pneumonia during influenza epidemics. Neuraminidase is a virulence factor of both pneumococci and influenza viruses. Bacterial neuraminidases are structurally related to viral neuraminidases and susceptible to oseltamivir, an inhibitor designed to target viral neuraminidases. This prompted us to evaluate the antipneumococcal potential of two neuraminidase inhibiting natural compounds, the diarylheptanoid katsumadain A and the isoprenylated flavone artocarpin. Chemiluminescence, fluorescence-, and hemagglutination-based enzyme assays were applied to determine the inhibitory efficiency (IC 50 value) of the tested compounds towards pneumococcal neuraminidase.The mechanism of inhibition was studied via enzyme kinetics with recombinant NanA neuraminidase. Unlike oseltamivir, which competes with the natural substrate of neuraminidase, artocarpin exhibits a mixed-type inhibition with a K i value of 9.70 μM. Remarkably, artocarpin was the only neuraminidase inhibitor for which an inhibitory effect in pneumococcal growth (MIC: 0.99-5.75 μM) and biofilm formation (MBIC: 1.15-2.97 μM) was observable. In addition, we discovered that the bactericidal effect of artocarpin can reduce the viability of pneumococci by * Corresponding author: Schmidtke, Michaela:

Allergy prevalence has increased in industrialized countries. One contributing factor could be pollution, which can cause nitration of allergens exogenously (in the air) or endogenously (in inflamed lung tissue). We investigated the impact of nitration on both the structural and immunological behavior of the major birch pollen allergen Bet v 1.0101 to determine whether nitration might be a factor in the increased incidence of allergy. Bet v 1.0101 was nitrated with tetranitromethane. Immune effects were assessed by measuring the proliferation of specific T-cell lines (TCLs) upon stimulation with different concentrations of nitrated and unmodified allergen, and by measurement of cytokine release of monocyte-derived dendritic cells (moDCs) and primary DCs (primDCs) stimulated with nitrated versus unmodified allergen. HPLC-MS, crystallography, gel electrophoresis, amino acid analysis, size exclusion chromatography and molecular dynamics simulation were performed to characterize structural changes after nitration of the allergen. The proliferation of specific TCLs was higher upon stimulation with the nitrated allergen in comparison to the unmodified allergen. An important structural consequence of nitration was oligomerization. Moreover, analysis of the crystal structure of nitrated Bet v 1.0101 showed that amino acid residue Y83, located in the hydrophobic cavity, was nitrated to 100%. Both moDCs and primDCs showed decreased production of TH1-priming cytokines, thus favoring a TH2 response. These results implicate that nitration of Bet v 1.0101 might be a contributing factor to the observed increase in birch pollen allergy, and emphasize the importance of protein modifications in understanding the molecular basis of allergenicity.

Computational modeling of lipid ternary mixtures is challenging because of their complicated and segmented phase diagram, the long timescales required for mixing the system components, and the necessity to sufficiently sample the three-dimensional phase space. Here, we investigate a ternary system, which mimics the lipid matrix of the stratum corneum, the outermost layer of the epidermis and the primary barrier for transdermal drug absorption. Our system consists of ceramide, cholesterol, and lignoceric acid at 23 different composition ratios, which we study at two different temperatures using coarse-grained molecular dynamics (CG MD) simulations. As CG MD simulations heavily depend on the choice of parameters, first an improved set of ceramide CG parameters was developed that reproduces experimental and all-atom simulation data. Second, the performance of the recently updated MARTINI 2015 cholesterol force field was systematically evaluated and compared to the 2007 model. We provide a detailed analysis of the structural and dynamic properties of the ternary system, such as area per lipid, area compressibility modulus, lipid order parameters, bilayer thickness, lipid tail interdigitation, and lateral self-diffusion. Based on the analysis of these properties, we devise a phase diagram of the ternary system, where three different phases, namely, liquid-disordered, gel, and liquid-ordered, are observed. The individual occurrence of a certain phase not only depends on the component molar ratio and the temperature but also decisively on the employed cholesterol force field.

Aims: In this study, we analyze the challenges involved in detecting novel neuraminidase inhibitors (NAIs) and offer strategies to overcome them with complementary bioassays. Materials & Methods: We investigated the inhibitory activities of NAIs (oseltamivir, zanamivir, DANA, katsumadain A and remazol) as well as non-NAIs (amantadine, nucleozin and rifampicin) on influenzaviral and bacterial (Streptococcus pneumoniae, Clostridium perfringens and Vibrio cholerae) neuraminidases (NAs) with chemiluminescence (CL)- and fluorescence (FL)-based assays. Furthermore, hemagglutination-based NA inhibition assays were established. Results: Our study shows three types of signal interference affecting the readout of biochemical assays: self-FL (katsumadain A and remazol), FL quenching (rifampicin) and CL quenching (rifampicin, remazol, nucleozin and katsumadain A). These challenges were overcome by hemagglutination-based assays. Conclusion: The latter allow a robust performance in discriminating NAIs and non-NAIs.

Background: Enzymes of the FAH superfamily catalyze a multitude of diverse chemical reactions. Results: Using molecular modeling followed by biochemical investigations, FAHD1 was identified as oxaloacetate decarboxylase. Conclusion: Our findings suggest that ODx activity can be found in eukaryotic members of the FAH superfamily. Significance: Our results identify a mammalian ODx enzyme as a so far undescribed player in mitochondrial metabolism.