Joanna M. Wisniewska

SAR-study on a new class of imidazo[1,2-a]pyridine-based inhibitors of 5-lipoxygenase.

A novel class of 5-lipoxygenase (5-LO) inhibitors characterized by a central imidazo[1,2-a]pyridine scaffold, a cyclohexyl moiety and an aromatic system, is presented. This scaffold was identified in a virtual screening study and exhibits promising inhibitory potential on the 5-LO. Here, we investigate the structure-activity relationships of this compound class. With N-cyclohexyl-6-methyl-2-(4-morpholinophenyl)imidazo[1,2-a]pyridine-3-amine (14), we identified a potent 5-LO inhibitor (IC(50)=0.16μM (intact cells) and 0.1μM (cell-free)), which may possess potential as an effective lead compound intervening with inflammatory diseases and certain types of cancer.

Dual-target virtual screening by pharmacophore elucidation and molecular shape filtering.

Dual-target inhibitors gained increased attention in the past years. A novel in silico approach was employed for the discovery of dual 5-lipoxygenase/soluble epoxide hydrolase inhibitors. The ligand-based approach uses excessive pharmacophore elucidation and pharmacophore alignment in conjunction with shape-based scoring. The virtual screening results were verified in vitro, leading to nine novel inhibitors including a dual-target compound.

Molecular characterization of EP6—A novel imidazo[1,2-a]pyridine based direct 5-lipoxygenase inhibitor

5-Lipoxygenase (5-LO) is a crucial enzyme of the arachidonic acid (AA) cascade and catalyzes the formation of bioactive leukotrienes (LTs) which are involved in inflammatory diseases and allergic reactions. The pathophysiological effects of LTs are considered to be prevented by 5-LO inhibitors. In this study we present cyclohexyl-[6-methyl-2-(4-morpholin-4-yl-phenyl)-imidazo[1,2-a]pyridin-3-yl]-amine (EP6), a novel imidazo[1,2-a]pyridine based compound and its characterization in several in vitro assays. EP6 suppresses 5-LO activity in intact polymorphonuclear leukocytes with an IC(50) value of 0.16μM and exhibits full inhibitory potency in cell free assays (IC(50) value of 0.05μM for purified 5-LO). The efficacy of EP6 was not affected by the redox tone or the concentration of exogenous AA, characteristic drawbacks known for the class of nonredox-type 5-LO inhibitors. Furthermore, EP6 suppressed 5-LO activity independently of the cell stimulus or the activation pathway of 5-LO contrary to what is known for some nonredox-type inhibitors. Using molecular modeling and site-directed mutagenesis studies, we were able to derive a feasible binding region within the C2-like domain of 5-LO that can serve as a new starting point for optimization and development of new 5-LO inhibitors targeting this site. EP6 has promising effects on cell viability of tumor cells without mutagenic activity. Hence the drug may possess potential for intervention with inflammatory and allergic diseases and certain types of cancer including leukemia.

Synthesis and structure-activity relationship studies of novel dual inhibitors of soluble epoxide hydrolase and 5-lipoxygenase.

Current research leads to the assumption that drugs affecting more than one target could result in a more efficient treatment of diseases and fewer safety concerns. Administration of drugs inhibiting only one branch of the arachidonic acid cascade is usually accompanied by side effects. We therefore designed and synthesized a library of hybrid molecules incorporating an imidazo[1,2-a]pyridine and an urea moiety as novel soluble epoxide hydrolase (sEH)/5-lipoxygenase (5-LO) dual inhibitors. Evaluation of the compounds was accomplished by in vitro testing using recombinant enzyme assays.

Inhibition of 5-lipoxygenase by U73122 is due to covalent binding to cysteine 416.

U73122 which was originally identified as a phospholipase C inhibitor represents a potent direct inhibitor of purified 5-lipoxygenase (5-LO) with an IC50 value of 30 nM. 5-LO catalyzes the conversion of arachidonic acid (AA) into leukotrienes which represent mediators involved in inflammatory and allergic reactions and in host defense reactions against microorganisms. Since the efficient inhibition of the human 5-LO enzyme depended on the thiol reactivity of the maleinimide group of U73122, we used this property to identify cysteine residues in the 5-LO protein that are important for 5-LO inhibition by U73122. We found by MALDI-MS that U73122 covalently binds to cysteine residues 99, 159, 248, 264, 416 and 449. Mutation of Cys416 to serine strongly reduces inhibition of 5-LO by U73122 and the additional mutation of three cysteines close to Cys416 further impairs 5-LO inhibition by the compound. Wash out experiments with U73122 and 5-LO indicated an irreversible binding of U73122. Together, our data suggest that the area around Cys416 which is close to the proposed AA entry channel to the active site is an interesting target for the development of new 5-LO inhibitors.

Potent Inhibitors of 5‐Lipoxygenase Identified using Pseudoreceptors

Virtual screening has become a routine method in pharmaceutical drug discovery. Two typical strategies in rational drug design are ligandand receptor-based screening approaches. Receptor-based screening methods depend on information about the three-dimensional (3D) structure of the receptor. However, a suitable 3D structure might not always be directly available, in which case ligand-based strategies are the method of choice for virtual screening. Ligand-based techniques can be applied without any information about the structure of the receptor. Pseudoreceptor models combine these two strategies in rational drug design. The only information they need are at least one active reference ligand, or a 3D alignment of a reference ligand selection. By capturing shape and important interaction points, a virtual binding pocket is constructed around one or more reference ligands. So called pseudoatoms are positioned around the ligand(s) with valid interaction distances and angles (potential pharmacophore points). These pseudoatoms mimic putative receptor atom positions and the noncovalent interaction properties that need to be occupied for successful ligand binding. Here, we show the successful application of a pseudoreceptor model to the identification of novel inhibitors of the 5-lipoxygenase (5-LO) pathway. 5-LO catalyzes the first step in the biosynthesis of leukotrienes (LTs) from arachidonic acid. Based on the multiple pathophysiological actions of LTs, there exist increasing therapeutic indications for antileukotriene therapy, including inflammation, allergic rhinitis, cardiovascular diseases, cancer, and osteoporosis. To date, the only direct 5-LO inhibitor in clinical use is the hydrolytic stable N-hydroxyurea derivative A-64077 (zileuton). Pseudoreceptor models could be explicitly useful in the identification of novel 5-LO inhibitors, as there is only limited protein structural information available that is suitable for direct use in virtual screening. Recently, a crystal structure of the so called “stable 5-LO” was solved. It represents an apoprotein structure without a bound ligand. Apoprotein structures have their limitations for virtual screening, though several workarounds like molecular dynamics (MD) simulations exist. In the case of 5-LO, due to the intrinsic structural flexibility and observed induced fit upon substrate/ inhibitor binding shown for other LOs, special attention must be paid when working with a static crystal structure. Therefore, a receptor-structure-independent approach might be a promising workaround. This encouraged us to apply a pseudoreceptor model for the identification of novel scaffolds inhibiting LT formation using known active ligands. We previously reported the use of ligand-based virtual screening to identify new inhibitors of 5-LO product formation using two similarity search methods, “Charge3D” 15] and “TripleCharge3D”. 16] Within this study, a series of imidazo-[1,2a]-pyridines was identified as highly potent 5-LO inhibitors with IC50 values of approximately 1 mm (Table 1). [13] Starting

Attractors in Sequence Space: Agent‐Based Exploration of MHC I Binding Peptides

Ant Colony Optimization (ACO) is a meta‐heuristic that utilizes a computational analogue of ant trail pheromones to solve combinatorial optimization problems. The size of the ant colony and the representation of the ants’ pheromone trails is unique referring to the given optimization problem. In the present study, we employed ACO to generate novel peptides that stabilize MHC I protein on the plasma membrane of a murine lymphoma cell line. A jury of feedforward neural network classifiers served as fitness function for peptide design by ACO. Bioactive murine MHC I H‐2Kb stabilizing as well as nonstabilizing octapeptides were designed, synthesized and tested. These peptides reveal residue motifs that are relevant for MHC I receptor binding. We demonstrate how the performance of the implemented ACO algorithm depends on the colony size and the size of the search space. The actual peptide design process by ACO constitutes a search path in sequence space that can be visualized as trajectories on a self‐organizing map (SOM). By projecting the sequence space on a SOM we visualize the convergence of the different solutions that emerge during the optimization process in sequence space. The SOM representation reveals attractors in sequence space for MHC I binding peptides. The combination of ACO and SOM enables systematic peptide optimization. This technique allows for the rational design of various types of bioactive peptides with minimal experimental effort. Here, we demonstrate its successful application to the design of MHC‐I binding and nonbinding peptides which exhibit substantial bioactivity in a cell‐based assay.

MHC I Stabilizing Potential of Computer-Designed Octapeptides

Experimental results are presented for 180 in silico designed octapeptide sequences and their stabilizing effects on the major histocompatibility class I molecule H-2Kb. Peptide sequence design was accomplished by a combination of an ant colony optimization algorithm with artificial neural network classifiers. Experimental tests yielded nine H-2Kb stabilizing and 171 nonstabilizing peptides. 28 among the nonstabilizing octapeptides contain canonical motif residues known to be favorable for MHC I stabilization. For characterization of the area covered by stabilizing and non-stabilizing octapeptides in sequence space, we visualized the distribution of 100,603 octapeptides using a self-organizing map. The experimental results present evidence that the canonical sequence motives of the SYFPEITHI database on their own are insufficient for predicting MHC I protein stabilization.

Structure-activity relationship and in vitro pharmacological evaluation of imidazo[1,2-a]pyridine-based inhibitors of 5-LO.

BACKGROUND 5-LO is an important enzyme involved in the biosynthesis of leukotrienes, which are lipid mediators of immune and inflammation responses, with important roles in respiratory disease, cardiovascular disease, immune responses and certain types of cancer. Therefore, this enzyme has been investigated as a potential target for the treatment of these pathophysiological conditions. RESULTS 5-LO inhibitory potential was investigated in intact polymorphonuclear leukocytes, a cell-free assay, in human whole blood and rodent cells to both elucidate structure-activity relationships and in vitro pharmacological evaluation. Chemical modifications for lead optimization via straight forward synthesis was used to combine small polar groups, which led to a suitable candidate (IC50 [polymorphonuclear leukocytes] = 1.15 µM, IC50 [S100] = 0.29 µM) with desired in vitro biopharmaceutical profiles in terms of solubility (451.9 µg/ml) and intrinsic clearance without demonstrating any cytotoxicity. CONCLUSION Compound 9l is a novel, potent and selective 5-LO inhibitor with favorable preclinical drug-like properties.

Design of dual ligands using excessive pharmacophore query alignment

Dual- or multi-target ligands have gained increased attention in the past years due to several advantages, including more simple pharmacokinetic and phamarcodynamic properties compared to a combined application of several drugs. Furthermore multi-target ligands often possess improved efficacy [1]. We present a new approach for the discovery of dual-target ligands using aligned pharmacophore models combined with a shape-based scoring. Starting with two sets of known active compounds for each target, a number of different pharmacophore models is generated and subjected to pairwise graph-based alignment using the Kabsch-Algorithm [2,3]. Since a compound may be able to bind to different targets in different conformations, the algorithm aligns pairs of pharmacophore models sharing the same features which are not necessarily at the exactly same spatial distance. Using the aligned models, a pharmacophore search on a multi-conformation-database is performed to find compounds matching both models. The potentially “dual” ligands are scored by a shape-based comparison with the known active molecules using ShaEP [4]. Using this approach, we performed a prospective fragment-based virtual screening for dual 5-LO/sEH inhibitors. Both enzymes play an important role in the arachidonic acid cascade and are involved in inflammatory processes, pain, cardiovascular diseases and allergic reactions [5,6]. Beside several new selective inhibitors we were able to find a compound inhibiting both enzymes in low micromolar concentrations. The results indicate that the idea of aligned pharmacophore models can be successfully employed for the discovery of dual-target ligands.