A novel method for the determination of isokinetic ratios and its application in the synthesis of two new positional scanning libraries

Positional Scanning MUC1 Glycopeptide Library Reveals the Importance of PDTR Epitope Glycosylation for Lectin Binding

One of the main barriers to explaining the functional significance of glycan-based changes in cancer is the natural epitope heterogeneity found on the surface of cancer cells. To help address this knowledge gap, we focused on designing synthetic tools to explore the role of tumor-associated glycans of MUC1 in the formation of metastasis via association with lectins. In this study, we have synthesized for the first time a MUC1-derived positional scanning synthetic glycopeptide combinatorial library (PS-SGCL) that vary in number and location of cancer-associated Tn antigen using the "tea bag" approach. The determination of the isokinetic ratios necessary for the equimolar incorporation of (glyco)amino acids mixtures to resin-bound amino acid was determined, along with developing an efficient protocol for on resin deprotection of O-acetyl groups. Enzyme-linked lectin assay was used to screen PS-SGCL against two plant lectins, Glycine max soybean agglutinin and Vicia villosa. The results revealed a carbohydrate density-dependent affinity trend and site-specific glycosylation requirements for high affinity binding to these lectins. Hence, PS-SGCLs provide a platform to systematically elucidate MUC1-lectin binding specificities, which in the long term may provide a rational design for novel inhibitors of MUC1-lectin interactions involved in tumor spread and glycopeptide-based cancer vaccines.

Cathepsin B: Active site mapping with peptidic substrates and inhibitors

The potential of papain-like cysteine proteases, such as cathepsin B, as drug discovery targets for systemic human diseases has prevailed over the past years. The development of potent and selective low-molecular cathepsin B inhibitors relies on the detailed expertise on preferred amino acid and inhibitor residues interacting with the corresponding specificity pockets of cathepsin B. Such knowledge might be obtained by mapping the active site of the protease with combinatorial libraries of peptidic substrates and peptidomimetic inhibitors. This review, for the first time, summarizes a wide spectrum of active site mapping approaches. It considers relevant X-ray crystallographic data and discloses propensities towards favorable protein-ligand interactions in case of the therapeutically relevant protease cathepsin B.

Dissecting MMP P10' and P11' subsite sequence preferences, utilizing a positional scanning, combinatorial triple-helical peptide library

Matrix metalloproteinases (MMPs) are a family of zinc-dependent endopeptidases that remodel the extracellular matrix environment and mitigate outside-in signaling. Loss of regulation of MMP activity plays a role in numerous pathological states. In particular, aberrant collagenolysis affects tumor invasion and metastasis, osteoarthritis, and cardiovascular and neurodegenerative diseases. To evaluate the collagen sequence preferences of MMPs, a positional scanning synthetic combinatorial library was synthesized herein and was used to investigate the P₁₀' and P₁₁' substrate subsites. The scaffold for the library was a triple-helical peptide mimic of the MMP cleavage site in types I-III collagen. A FRET-based enzyme activity assay was used to evaluate the sequence preferences of eight MMPs. Deconvolution of the library data revealed distinct motifs for several MMPs and discrimination among closely related MMPs. On the basis of the screening results, several individual peptides were designed and evaluated. A triple-helical substrate incorporating Asp-Lys in the P₁₀'-P₁₁' subsites offered selectivity between MMP-14 and MMP-15, whereas Asp-Lys or Trp-Lys in these subsites discriminated between MMP-2 and MMP-9. Future screening of additional subsite positions will enable the design of selective triple-helical MMP probes that could be used for monitoring in vivo enzyme activity and enzyme-facilitated drug delivery. Furthermore, selective substrates could serve as the basis for the design of specific triple-helical peptide inhibitors targeting only those MMPs that play a detrimental role in a disease of interest.

Peptide-based cancer therapy: opportunity and challenge

Cancer is one of the leading causes of death worldwide. Conventional cancer therapies mainly focus on mass cell killing without high specificity and often cause severe side effects and toxicities. Peptides are a novel class of anticancer agents that could specifically target cancer cells with lower toxicity to normal tissues, which will offer new opportunities for cancer prevention and treatment. Anticancer peptides face several therapeutic challenges. In this review, we present the sources and mechanisms of anticancer peptides and further discuss modification strategies to improve the anticancer effects of bioactive peptides.

Libraries from Libraries: A Series of Sulfonamide Linked Heterocycles Derived from the Same Scaffold

A libraries from libraries approach is described for the synthesis of five different sulfonamide linked scaffolds. Four of the scaffolds are sulfonamides linked to heterocycles; piperazine, thiourea, cyclic guanidine, and dimethyl cyclic guanidine. The fifth scaffold is a polyamine linked sulfonamide. Three different diversity positions were effectively incorporated into each scaffold providing a number of different compounds with good yields and purity.

Selective agonists and antagonists of formylpeptide receptors: duplex flow cytometry and mixture-based positional scanning libraries

The formylpeptide receptor (FPR1) and formylpeptide-like 1 receptor (FPR2) are G protein-coupled receptors that are linked to acute inflammatory responses, malignant glioma stem cell metastasis, and chronic inflammation. Although several N-formyl peptides are known to bind to these receptors, more selective small-molecule, high-affinity ligands are needed for a better understanding of the physiologic roles played by these receptors. High-throughput assays using mixture-based combinatorial libraries represent a unique, highly efficient approach for rapid data acquisition and ligand identification. We report the superiority of this approach in the context of the simultaneous screening of a diverse set of mixture-based small-molecule libraries. We used a single cross-reactive peptide ligand for a duplex flow cytometric screen of FPR1 and FPR2 in color-coded cell lines. Screening 37 different mixture-based combinatorial libraries totaling more than five million small molecules (contained in 5,261 mixture samples) resulted in seven libraries that significantly inhibited activity at the receptors. Using positional scanning deconvolution, selective high-affinity (low nM K(i)) individual compounds were identified from two separate libraries, namely, pyrrolidine bis-diketopiperazine and polyphenyl urea. The most active individual compounds were characterized for their functional activities as agonists or antagonists with the most potent FPR1 agonist and FPR2 antagonist identified to date with an EC₅₀ of 131 nM (4 nM K(i)) and an IC₅₀ of 81 nM (1 nM K(i)), respectively, in intracellular Ca²⁺ response determinations. Comparative analyses of other previous screening approaches clearly illustrate the efficiency of identifying receptor selective, individual compounds from mixture-based combinatorial libraries.

The mathematics of a successful deconvolution: a quantitative assessment of mixture-based combinatorial libraries screened against two formylpeptide receptors

In the past 20 years, synthetic combinatorial methods have fundamentally advanced the ability to synthesize and screen large numbers of compounds for drug discovery and basic research. Mixture-based libraries and positional scanning deconvolution combine two approaches for the rapid identification of specific scaffolds and active ligands. Here we present a quantitative assessment of the screening of 32 positional scanning libraries in the identification of highly specific and selective ligands for two formylpeptide receptors. We also compare and contrast two mixture-based library approaches using a mathematical model to facilitate the selection of active scaffolds and libraries to be pursued for further evaluation. The flexibility demonstrated in the differently formatted mixture-based libraries allows for their screening in a wide range of assays.