Multicomponent reaction derived small di- and tri-carbohydrate-based glycomimetics as tools for probing lectin specificity.

Lectins, carbohydrate-binding proteins, play important functions in all forms of life from bacteria and viruses to plants, animals, and humans, participating in cell-cell communication and pathogen binding. In an attempt to modify lectin functions, artificial lectin ligands were made usually as big dendrimeric or cluster multivalent glycomimetic structures. Here we synthesized a novel set of glycomimetic ligands through protection/deprotection multicomponent reactions (MCR) approach. Multivalent di-and tri-carbohydrate glycomimetics containing D-fructose, D-galactose, and D-allose moieties were prepared in 63-96% yield. MCR glycomimetics demonstrated different binding abilities for plant lectins Con A and UEA I, and human galectin-3. Information gained about the influence of molecule structure, multivalency and optical purity on the lectin binding ability can be used in lectin detection and sensitivity measurements to further facilitate understanding of carbohydrate recognition process.

Synthesis of Nß-Substituted 1,2-Diazetidin-3-ones by the Ugi Reaction Comprising Chiral α-Hydrazino Acids.

We report the synthesis of a structurally diverse library of chiral Nß-substituted 1,2-diazetidin-3-ones by a 4-center 3-component Ugi reaction comprising unprotected α-hydrazino acids. Various isocyanides and carbonyl compounds and both aldehydes and ketones were utilized. In addition, postcondensation modifications at three different sites have been demonstrated.

Synthesis of 14-membered enediyne-embedded macrocycles.

A concise and practical strategy towards a novel class of 14-membered macrocycles containing an enediyne (Z-3-ene-1,5-diyne) structural unit is described. A highly modular assembly of various precursors via sequential Ugi/Sonogashira reactions allowed the preparation of hybrid enediyne-peptide macrocycles in most cases as single diastereoisomers. Selected macrocyclic compounds showed moderate antiproliferative activity, and can be considered as templates suitable for further diversification in terms of ring size, shape, and stereochemistry.

Non-negative Least Squares Approach to Quantification of 1H Nuclear Magnetic Resonance Spectra of Human Urine.

Because of its quantitative character and capability for high-throughput screening, 1H nuclear magnetic resonance (NMR) spectroscopy is used extensively in the profiling of biofluids such as urine and blood plasma. However, the narrow frequency bandwidth of 1H NMR spectroscopy leads to a severe overlap of the spectra of components present in the complex mixtures such as biofluids. Therefore, 1H NMR-based metabolomics analysis is focused on targeted studies related to concentrations of the small number of metabolites. Here, we propose a library-based approach to quantify proportions of overlapping metabolites from 1H NMR mixture spectra. The method boils down to the linear non-negative least squares (NNLS) problem, whereas proportions of the pure components contained in the library stand for the unknowns. The method is validated on an estimation of the proportions of (i) the 78 pure spectra, presumably related to type 2 diabetes mellitus (T2DM), from their synthetic linear mixture; (ii) metabolites present in 62 1H NMR spectra of urine of subjects with T2DM and 62 1H NMR spectra of urine of control subjects. In both cases, the in-house library of 210 pure component 1H NMR spectra represented the design matrix in the related NNLS problem. The proposed method pinpoints 63 metabolites that in a statistically significant way discriminate the T2DM group from the control group and 46 metabolites discriminating control from the T2DM group. For several T2DM-discriminative metabolites, we prove their presence by independent analytical determination or by pointing out the corresponding findings in the published literature.

Multicomponent Approach to Homo- and Hetero-Multivalent Glycomimetics Bearing Rare Monosaccharides.

We applied a multicomponent approach to access a library of densely functionalized homo- and hetero-multivalent glycomimetics comprising aldehyde, amine, and isocyanide components related to isopropylidene-protected d-fructose, l-sorbose, d-galactose, and d-allose. Passerini products were obtained in very good yields (up to 78%) and high diastereoselectivities (up to 98:2). Three types of products were obtained by the Ugi reaction; along with the "classical" four-component product, α-acylaminoamides, a three-component α-aminoamides, and a four- component α-aminoacylamides were isolated. The presence of multiple pathways is rationalized by the structure of the imidate intermediate, mainly influenced by the amine component.

C-Linked Glycomimetic Libraries Accessed by the Passerini Reaction.

Carbohydrates and their conjugates are the most abundant natural products, with diverse and highly important biological roles. Synthetic glycoconjugates are versatile tools used to probe biological systems and interfere with them. In an endeavor to provide an efficient route to glycomimetics comprising structurally diverse carbohydrate units, we describe herein a robust, stereoselective, multicomponent approach. Isopropylidene-protected carbohydrate-derived aldehydes and ketones were utilized in the Passerini reaction, giving different glycosylated structures in high yields and diastereoselectivities up to 90:10 diastereomeric ratio (d.r). Access to highly valuable building blocks based on α-hydroxy C-glycosyl acids or more complex systems was elaborated by simple post-condensation methodologies.

Synthesis of Glycomimetics by Diastereoselective Passerini Reaction.

We describe the utilization of bis-isopropylidene-protected d-fructose-derived aldehyde in the Passerini reaction with various acids and isocyanides. A library of densely functionalized glycomimetics bearing up to 3 carbohydrate units was obtained in high yields and diastereoselectivities. The configuration of the newly formed stereocenter was determined and the diastereoselectivity was rationalized by DFT calculations.

The impact of α-hydrazino acids embedded in short fluorescent peptides on peptide interactions with DNA and RNA.

A series of novel hydrazino-based peptidomimetics and analogues comprising N-terminal lysine and C-terminal phenanthridinyl-l-alanine were prepared. The presented results demonstrate the up to now unknown possibility to finely modulate peptide interactions with DNA/RNA by α-hydrazino group insertion and how the different positioning of two α-hydrazino groups in peptides controls binding to various double stranded and single stranded DNA and RNA. All peptidomimetics bind with 1-10 micromolar affinity to ds-DNA/RNA, whereby the binding mode is a combination of electrostatic interactions and hydrophobic interactions within DNA/RNA grooves. Insertion of the α-hydrazino group into the peptide systematically decreased its fluorimetric response to DNA/RNA binding in the order: mono-hydrazino < alternating-hydrazino < sequential-hydrazino group. Binding studies of ss-polynucleotides suggest intercalation of phenanthridine between polynucleotide bases, whereby affinity and fluorimetric response decrease with the number of α-hydrazino groups in the peptide sequence. Particularly interesting was the interaction of two sequential α-hydrazino acids-peptidomimetic with poly rG, characterised by a specific strong increase of CD bands, while all other peptide/ssRNA combinations gave only a CD-band decrease. All mentioned interactions could also be reversibly controlled by adjusting the pH, due to the protonation of the fluorophore.

α-Hydrazino Acid Insertion Governs Peptide Organization in Solution by Local Structure Ordering.

In this work, we have applied the concept of α-hydrazino acid insertion in a peptide sequence as a means of structurally organizing a potential protein-protein interactions (PPI) inhibitor. Hydrazino peptides characterized by the incorporation of an α-hydrazino acid at specific positions introduce an additional nitrogen atom into their backbone. This modification leads to a change in the electrostatic properties of the peptide and induces the restructuring of its hydrogen bonding network, resulting in conformational changes toward more stable structural motifs. Despite the successful use of synthetic hydrazino oligomers in binding to nucleic acids, the structural changes due to the incorporation of α-hydrazino acid into short natural peptides in solution are still poorly understood. Based on NMR data, we report structural models of p53-derived hydrazino peptides with elements of localized peptide structuring in the form of an α-, ß-, or γ-turn as a result of hydrazino modification in the peptide backbone. The modifications could potentially lead to the preorganization of a helical secondary peptide structure in a solution that is favorable for binding to a biological receptor. Spectroscopically, we observed that the ensemble averaged rapidly interconverting conformations, including isomerization of the E-Z hydrazide bond. This further increases the adaptability by expanding the conformational space of hydrazine peptides as potential protein-protein interaction antagonists.

Self-Healing Oxalamide Organogelators of Vegetable Oil.

The aim of this study was to assess the gelling potential of chiral oxalamide derivatives in vegetable oils. Special emphasis was given to the potential applications of the examined oil gels as sustained delivery systems and as fat substitutes in food products. The applicability of oil gelators is envisaged in food, cosmetics, and the pharmaceutical industry. The regulations requiring the elimination of saturated fats and rising concerns among consumers health motivated us to investigate small organic molecules capable of efficiently transforming from liquid oil to a gel state. The oxalamide organogelators showed remarkable gelation efficiency in vegetable oils, thermal and mechanical stability, self-healing properties, and a long period of stability. The physical properties of the gels were analysed by TEM microscopy, DSC calorimetry, and oscillatory rheology. The controlled release properties of acetylsalicylic acid, ibuprofen, and hydrocortisone were analysed by the LC-MS method. The influence of the oil type (sunflower, soybean, and olive oil) on gelation efficiency of diverse oxalamide derivatives was examined by oscillatory rheology. The oxalamide gelators showed thermoreversible and thixotropic properties in vegetable oils with a minimum gelation concentration of just 0.025 wt%. The substitution of palm fats with gelled sunflower oil applied in cocoa and milk spreads at gelator concentrations lower than 0.2 wt% have shown promising viscoelastic properties compared to that of the original food products.

Cyclic enediyne-amino acid chimeras as new aminopeptidase N inhibitors.

Enediyne-peptide conjugates were designed with the aim to inhibit aminopeptidase N, a widespread ectoenzyme with a variety of functions, like protein digestion, inactivation of cytokines in the immune system and endogenous opioid peptides in the central nervous system. Enediyne moiety was embedded within the 12-membered ring with hydrophobic amino acid alanine, valine, leucine or phenylalanine used as carriers. Aromatic part of the enediyne bridging unit and the amino acid side chains were considered as pharmacophores for the binding to the aminopeptidase N (APN) active site. Additionally, the fused enediyne-amino acid "heads" were bound through a flexible linker to the L-lysine, an amino group donor. The synthesis included building the aromatic enediyne core at the C-terminal of amino acids and subsequent intramolecular N-alkylation. APN inhibition test revealed that the alanine-based derivative 9a inhibits the APN with IC(50) of 34 ± 11 µM. Enediyne-alanine conjugate 12 missing the flexible linker was much less effective in the APN inhibition. These results show that enediyne-fused amino acids have potential as new pharmacophores in the design of APN inhibitors.

Predicting antitumor activity of peptides by consensus of regression models trained on a small data sample.

Predicting antitumor activity of compounds using regression models trained on a small number of compounds with measured biological activity is an ill-posed inverse problem. Yet, it occurs very often within the academic community. To counteract, up to some extent, overfitting problems caused by a small training data, we propose to use consensus of six regression models for prediction of biological activity of virtual library of compounds. The QSAR descriptors of 22 compounds related to the opioid growth factor (OGF, Tyr-Gly-Gly-Phe-Met) with known antitumor activity were used to train regression models: the feed-forward artificial neural network, the k-nearest neighbor, sparseness constrained linear regression, the linear and nonlinear (with polynomial and Gaussian kernel) support vector machine. Regression models were applied on a virtual library of 429 compounds that resulted in six lists with candidate compounds ranked by predicted antitumor activity. The highly ranked candidate compounds were synthesized, characterized and tested for an antiproliferative activity. Some of prepared peptides showed more pronounced activity compared with the native OGF; however, they were less active than highly ranked compounds selected previously by the radial basis function support vector machine (RBF SVM) regression model. The ill-posedness of the related inverse problem causes unstable behavior of trained regression models on test data. These results point to high complexity of prediction based on the regression models trained on a small data sample.

Blind separation of analytes in nuclear magnetic resonance spectroscopy and mass spectrometry: sparseness-based robust multicomponent analysis.

Metabolic profiling of biological samples involves nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry coupled with powerful statistical tools for complex data analysis. Here, we report a robust, sparseness-based method for the blind separation of analytes from mixtures recorded in spectroscopic and spectrometric measurements. The advantage of the proposed method in comparison to alternative blind decomposition schemes is that it is capable of estimating the number of analytes, their concentrations, and the analytes themselves from available mixtures only. The number of analytes can be less than, equal to, or greater than the number of mixtures. The method is exemplified on blind extraction of four analytes from three mixtures in 2D NMR spectroscopy and five analytes from two mixtures in mass spectrometry. The proposed methodology is of widespread significance for natural products research and the field of metabolic studies, whereupon mixtures represent samples isolated from biological fluids or tissue extracts.

Bergman cyclization of acyclic amino acid derived enediynes leads to the formation of 2,3-dihydrobenzo[f]isoindoles.

Enediyne-peptide conjugates are recently recognized as useful tools in targeting various proteins, while the mechanism underlying the observed activity remains somewhat unclear. Addressing these issues, we have prepared acyclic amino acid derived enediynes and disclosed a novel thermally induced cyclization-elimination pathway. Initial formation of 1,4-benzene diradical and H-atom abstraction from an external donor is followed by S(N)2 substitution leading to 2,3-dihydrobenzo[f]isoindoles. The proposed mechanism is supported by experimental and computational data. Additionally, we showed that amino acid side chains, although placed three bonds away from acetylene terminuses, have an appreciable influence on the reactivity of studied enediynes. These results demonstrate that amino acid or peptide parts of enediyne-peptide conjugates cannot be considered as recognition elements exclusively but may also participate in various reactions through amine functionality.

N-Alkylated C-Glycosyl Amino Acid Derivatives: Synthesis by a One-Pot Four-Component Ugi Reaction.

C-glycosides represent an important group of naturally occurring glycosylation derivatives but are also efficient mimetics of native O-glycosides. Here, a one-pot four-component methodology is described toward a library of N-alkylated C-glycosyl amino acid derivatives comprising seven different isopropylidene-protected carbohydrate units. The applied methodology tolerates different amines and isocyanides and provides access to Ugi products in yields up to 85 %. X-ray analysis of selected products bearing three different carbohydrate motifs and comparison of their crystal structures with similar ones deposited in Cambridge Crystallographic Database revealed that four structures adopt different conformations, mostly not typical for peptide structures. This property opens the possibility to exploit here described N-alkylated C-glycosyl amino acid derivatives as templates to access different biotic and abiotic secondary structures.

The guanidiniocarbonylpyrrole-fluorophore conjugates as theragnostic tools for dipeptidyl peptidase III monitoring and inhibition.

Study of seven new guanidiniocarbonylpyrrole (GCP)-fluorophore conjugates interactions with dipeptidyl peptidase III (DPP III) showed that all compounds bind strongly (Ks ≈ µM) to enzyme active site, but with very different fluorimetric response (varying from quenching to strong increase), dependent on the fluorophore type and intramolecular pre-organisation of molecule. Positively charged lysine side chain improved significantly compound solubility but diminished fluorescence increase upon DPP III binding and completely abolished inhibitory effect on DPP III activity, whereas linker-neutral analogues showed stronger emission increase and were efficient enzyme inhibitors. By far the best fluorimetric response and inhibitive properties showed cyanine-GCP analogue, thus being promising lead compound for both enzyme sensing and bio-activity inhibiting (theragnostic) studies of DPP III in the future.Communicated by Ramaswamy H. Sarma.

Screening for glucose-triggered modifications of glutathione.

Nonenzymatic protein glycation is caused by a Schiff's base reaction between the aldehyde groups of reducing sugars and the primary amines of proteins. These structures may undergo further Amadori rearrangement and free radical-mediated oxidation to finally generate irreversible advanced glycation end products (AGEs). One of the factors known to modulate the glycation of proteins is glutathione, the most abundant nonprotein thiol tripeptide with the gamma-linkage, H-Glu(Cys-Gly-OH)-OH (GSH). Screening for products formed by GSH with D-glucose is an essential step in understanding the participation of GSH in glycation (the Maillard) reaction. Under the conditions used in these studies we observed N-(1-deoxy-D-fructos-1-yl)-pyroglutamic acid as the major glycation product formed in the mixtures of GSH and glucose in vitro. A RP HPLC/MS and tandem MS analyses of the GSH/glucose mixtures revealed that cleavage of the N-terminal glutamic acid and the formation of pyroglutamic acid-related Amadori product were accompanied by generation of Cys-Gly-derived Amadori and thiazolidine compounds.

Multicomponent Approach to a Library of N-Substituted γ-Lactams.

The γ-lactam motif is often found in naturally occurring compounds with diverse biological activities. We prepared a 28-member library of N-substituted γ-lactams following a single-pot, three-component Ugi reaction comprising bifunctional building block, l-glutamic acid methyl ester. The reaction tolerates structurally diverse carbonyl and isocyanide components providing a robust access to functionalized γ-lactams. Antimicrobial susceptibility testing, including agar well diffusion assay, serial microdilution broth assay, and antibiofilm activity testing, identified a potent compound with antibiofilm activity against Staphylococcus aureus ATCC 6538.

Library-assisted nonlinear blind separation and annotation of pure components from a single 1H nuclear magnetic resonance mixture spectra.

Due to its capability for high-throughput screening 1H nuclear magnetic resonance (NMR) spectroscopy is commonly used for metabolite research. The key problem in 1H NMR spectroscopy of multicomponent mixtures is overlapping of component signals and that is increasing with the number of components, their complexity and structural similarity. It makes metabolic profiling, that is carried out through matching acquired spectra with metabolites from the library, a hard problem. Here, we propose a method for nonlinear blind separation of highly correlated components spectra from a single 1H NMR mixture spectra. The method transforms a single nonlinear mixture into multiple high-dimensional reproducible kernel Hilbert Spaces (mRKHSs). Therein, highly correlated components are separated by sparseness constrained nonnegative matrix factorization in each induced RKHS. Afterwards, metabolites are identified through comparison of separated components with the library comprised of 160 pure components. Thereby, a significant number of them are expected to be related with diabetes type 2. Conceptually similar methodology for nonlinear blind separation of correlated components from two or more mixtures is presented in the Supplementary material. Single-mixture blind source separation is exemplified on: (i) annotation of five components spectra separated from one 1H NMR model mixture spectra; (ii) annotation of fifty five metabolites separated from one 1H NMR mixture spectra of urine of subjects with and without diabetes type 2. Arguably, it is for the first time a method for blind separation of a large number of components from a single nonlinear mixture has been proposed. Moreover, the proposed method pinpoints urinary creatine, glutamic acid and 5-hydroxyindoleacetic acid as the most prominent metabolites in samples from subjects with diabetes type 2, when compared to healthy controls.

Enediyne-Comprising Amino Aldehydes in the Passerini Reaction.

Multicomponent reactions represent a highly efficient approach to a broad spectrum of structurally diverse compounds starting from simple and affordable compounds. A focused library of tweezers-like compounds is prepared by employing the multicomponent Passerini reaction comprising enediyne-derived amino aldehydes. The reaction proceeds under mild conditions yielding Passerini products in good to excellent yields. Postcondensation modifications of Passerini products are demonstrated through a simple deprotection/coupling approach comprising amino functionality, furnishing enediyne cores with highly decorated arms.