Pharmacophore and binding analysis of known and novel B-RAF kinase inhibitors.

The extensively investigated serine/threonine kinase, B-RAF, is a member of the RAS/RAF/MEK/ERK pathway. It plays important role in the regulation of cell growth, differentiation and survival. The mutation of B-RAF occurs frequently in melanomas and colon tumors; therefore, it is considered as an outstanding therapeutic target. In recent years a great number of B-RAF inhibitors have been reported and this number is expected to increase. The aim of our work was to compare the structures and binding mode of the published B-RAF inhibitors, and then to apply the correlations found for the explanation of our experimental results. In the first part of this paper we describe the main pharmacophore features of the co-crysallized B-RAF inhibitors published in the literature, focusing on the binding modes and common structural elements. In the second part we present and characterize our recently developed B-RAF inhibitor family by application of in silico methods and in vitro kinetic profiling. The inhibitory activity of these compounds was determined in biochemical kinase- and cell-based assays. The docking and assay results support our conclusion that the presented compound family belongs to the type I 1/2 subgroup, they inhibit B-RAF and B-RAF(V600E) mutant in a sub-micromolar range and most of them show selectivity towards B-RAF(V600E) mutant expressing cell lines with equal or even better IC50 values than sorafenib.

Developing FGFR4 inhibitors as potential anti-cancer agents via in silico design, supported by in vitro and cell-based testing.

Fibroblast growth factor receptor-4 (FGFR4) is a tyrosine kinase with a range of important physiological functions. However, it is also frequently mutated in various cancers and is now generating significant interest as a potential therapeutic target. Unfortunately, biochemical characterization of its role in disease, and further evaluation as a drug target is hampered by lack of a specific inhibitor. We aimed to discover new inhibitors for FGFR4 ab initio using a strategy combining in silico, in vitro and cell-based assays. We used the homologous FGFR1 to calculate docking scores of a chemically-diverse library of approximately 2000 potential kinase inhibitors. Nineteen potential inhibitors and ten randomly- selected negative controls were taken forward for in vitro FGFR4 kinase assays. All compounds with good docking scores significantly inhibited FGFR4 kinase activity, some with sub-micromolar (most potent being V4-015 with an IC(50) of 0.04 µM). Four of these compounds also demonstrated substantial activity in cellular assays using the FGFR4- overexpressing breast carcinoma cell line, MDA-MB453. Through immunoblot assays, these compounds were shown to block the phosphorylation of the FGFR4 adaptor protein, FGFR substrate protein-2α (FRS2α). The most potent compound to date, V4-015, suppressed proliferation of MDA-MB453 cells at sub-micromolar concentrations, activated the pro-apoptotic caspases 3/7 and inhibited cellular migration. While achieving complete selectivity of this compound for FGFR4 will require further lead optimization, this study has successfully identified new chemical scaffolds with unprecedented FGFR4 inhibition capacities that will support mechanism of action studies and future anti-cancer drug design.

Novel, selective CDK9 inhibitors for the treatment of HIV infection.

Cyclin Dependent Kinases (CDKs) are important regulators of cell cycle and gene expression. Since an up-to-date review about the pharmacological inhibitors of CDK family (CDK1-10) is not available; therefore in the present paper we briefly summarize the most relevant inhibitors and point out the low number of selective inhibitors. Among CDKs, CDK9 is a validated pathological target in HIV infection, inflammation and cardiac hypertrophy; however selective CDK9 inhibitors are still not available. We present a selective inhibitor family of CDK9 based on the 4-phenylamino-6- phenylpyrimidine nucleus. We show a convenient synthetic method to prepare a useful intermediate and its derivatisation resulting in novel compounds. The CDK9 inhibitory activity of the derivatives was measured in specific kinase assay and the CDK inhibitory profile of the best ones (IC(50) < 100 nM) was determined. The most selective compounds had high selectivity over CDK1, 2, 3, 5, 6, 7 and showed at least one order of magnitude higher inhibitory activity over CDK4 inhibition. The most selective molecules were examined in cytotoxicity assays and their ability to inhibit HIV-1 replication was determined in cellular assays.

Signalling inhibitors against Mycobacterium tuberculosis--early days of a new therapeutic concept in tuberculosis.

Tuberculosis causes nearly two million deaths per year world-wide. In addition multidrug-resistant mycobacterial strains rapidly emerge so novel therapeutic approaches are needed. Recently, several promising mycobacterial target molecules were identified, which are involved in bacterial or host cell signalling e.g. the serine/threonine protein kinases, PknB and PknG, NAD kinase and the NAD synthetase. Here we describe some early efforts in the development of novel signal transduction inhibitory anti-mycobacterial drugs using a multiple target approach, with special emphasis on the kinase inhibitory field. Initially, we are using the Nested Chemical Library (NCL) technology and pharmacophore modelling. A hit-finding library, consisting of approximately 19000 small molecules with a bias for prototypic kinase inhibitors from our NCL library and commercial sources was virtually screened against these validated target molecules. Protein structures for the virtual screening were taken from the published three dimensional crystal structures of the enzymes. The hits from the virtual screening were subsequently tested in enzymatic assay systems. Potent hits were then tested for biological activity in macrophages, infected with mycobacteria. The final goal of this exercise is not only to identify potent anti-mycobacterial substances, but also a common pharmacophore for the mycobacterial target PknG in combination with PknB, NAD kinase and/or NAD synthetase. This common pharmacophore still needs to be a unique pharmacophore for the mycobacterial target proteins over human off-targets. Such a pharmacophore might then drive the optimization of a completely new profile of an antibiotic agent with activity against latent mycobacteria and resistance mycobacterial strains.

Serum leptin level in acute myeloid leukemia patients.

Leptin is a regulator of fat metabolism that is synthesized in adipocytes and released into circulation. The serum levels of leptin are, therefore, correlated with body fat mass and show a wide variation in healthy individuals. Leptin may have an additional indirect effect on leukemic hematopoesis. We investigated serum leptin levels with enzyme-linked immunosorbent assays in 14 acute myeloblastic leukemia (AML) patients before and after chemotherapy and compared the results with that of the levels determined 14 healthy controls. We found no significant difference between leptin levels before and after chemotherapy and control group. Therefore, serum leptin level should not be used as a diagnostic marker in acute leukemia patients. However, the possibility of regional leptin production by leukemia blasts in bone marrow stroma creates a high local concentration of leptin within bone marrow microenvironment and systemic leptin level in combination with local leptin production may affect leukemic hematopoesis.

Prediction oriented QSAR modelling of EGFR inhibition.

Epidermal Growth Factor Receptor (EGFR) is a high priority target in anticancer drug research. Thousands of very effective EGFR inhibitors have been developed in the last decade. The known inhibitors are originated from a very diverse chemical space but--without exception--all of them act at the Adenosine TriPhosphate (ATP) binding site of the enzyme. We have collected all of the diverse inhibitor structures and the relevant biological data obtained from comparable assays and built prediction oriented Quantitative Structure-Activity Relationship (QSAR) which models the ATP binding pocket's interactive surface from the ligand side. We describe a QSAR method with automatic Variable Subset Selection (VSS) by Genetic Algorithm (GA) and goodness-of-prediction driven QSAR model building, resulting an externally validated EGFR inhibitory model built from pIC50 values of a diverse structural set of 623 EGFR inhibitors. Repeated Trainings/Evaluations (RTE) were used to obtain model fitness values and the effectiveness of VSS is amplified by using predictive ability scores of descriptors. Numerous models were generated by different methods and viable models were collected. Then, intensive RTE were applied to identify ultimate models for external validations. Finally, suitable models were validated by statistical tests. Since we use calculated molecular descriptors in the modeling, these models are suitable for virtual screening for obtaining novel potential EGFR inhibitors.