Lipophilicity and antiproliferative activity profiling of 2-benzylidencycloalkanones.

High performance liquid chromatographic (HPLC) method has been developed to separate the members of a library including 24 benzylidenecycloalkanone-type structures and to characterize their lipophilicity. The experimental lipophilicity data (k) of the compounds have been compared with their calculated lipophilicity parameters (CLOGP). In general, good correlations between the measured and calculated lipophilicities have been found and these results were in good accordance with our previously data obtained in case of structurally related molecular libraries. In addition, cytotoxicity screening has been performed to determine the antiproliferative activity of these compounds. Some of the investigated compounds possessed noticeable inhibitory potential. Based on the correlation between the antiproliferative activity and experimentally determined lipophilicity of the molecules investigated, limited structural demands to obtain more potent compounds can be exhibited to support the synthetic design.

[Synthesis of thiophene and alpha-terthiophene derivatives with antiproliferative activity]. / Antiproliferatív hatású tiofén es alpha-tertiofénszármazékok eloállítása.

We have synthesised a series of known alpha-terthiophene lead molecules with PKC (protein kinase C) inhibitory activity and the compounds were tested in cell proliferation assay on EGF-RTK (epidermal growth factor receptor protein tyrosine kinase) over-expressing tumour cell line (A431). We found that two of them had excellent antiproliferative activity. We prepared a focused molecule library around the thiophene and the terthiophene scaffold and examined these compounds in cell proliferation assay on A431.

Comparison of predictive ability of water solubility QSPR models generated by MLR, PLS and ANN methods.

ADME/Tox computational screening is one of the most hot topics of modern drug research. About one half of the potential drug candidates fail because of poor ADME/Tox properties. Since the experimental determination of water solubility is time-consuming also, reliable computational predictions are needed for the pre-selection of acceptable "drug-like" compounds from diverse combinatorial libraries. Recently many successful attempts were made for predicting water solubility of compounds. A comprehensive review of previously developed water solubility calculation methods is presented here, followed by the description of the solubility prediction method designed and used in our laboratory. We have selected carefully 1381 compounds from scientific publications in a unified database and used this dataset in the calculations. The externally validated models were based on calculated descriptors only. The aim of model optimization was to improve repeated evaluations statistics of the predictions and effective descriptor scoring functions were used to facilitate quick generation of multiple linear regression analysis (MLR), partial least squares method (PLS) and artificial neural network (ANN) models with optimal predicting ability. Standard error of prediction of the best model generated with ANN (with 39-7-1 network structure) was 0.72 in logS units while the cross validated squared correlation coefficient (Q(2)) was better than 0.85. These values give a good chance for successful pre-selection of screening compounds from virtual libraries, based on the predicted water solubility.

Synthesis of selective SRPK-1 inhibitors: novel tricyclic quinoxaline derivatives.

SR protein-specific kinase-1 (SRPK-1) has been identified as a validated target for hepatitis B virus (HBV). A series of novel tricyclic quinoxaline derivatives was designed and synthesised as potential kinase inhibitory antiviral agents and was found to be active and selective for SRPK-1 kinase. Most of these novel compounds have drug-like properties according to experimentally determined LogP and LogS values.

Separation of anti-tumor peptides by capillary electrophoresis in organic solvent containing background electrolytes.

Connections between the calculated and measured electrophoretic mobilities (nu(ep)) determined by capillary electrophoresis as well as connections between the measured and calculated diffusion coefficients of anti-tumor peptides have been investigated in background electrolytes (BGEs) containing different organic solvents (acetonitrile, methanol, ethanol and isopropanol). Comparison of the electrophoretic mobility (nu(ep)) values revealed discrepancies between the measured and calculated values. However, no change in the migration order or selectivity could be expected from the calculated nu(ep) values, variation of both properties was observed applying organic solvents as BGE modifiers. Experimental determination of the diffusion coefficient suggested that the effect of the organic solvents is not restricted to the change of the BGE viscosity. The reason for the discrepancy between the measured and calculated mobility values might be the possible conformation and/or solvation changes of the peptide caused by the different organic solvents.

Study on the sorption properties of alpha1-acid glycoprotein (AGP)-based stationary phase modified by organic solvents.

An alpha(1)-acid glycoprotein, immobilized on silica (Chiral-AGP) is one of the most widely used chiral stationary phases for the enantiomeric separation of a wide variety of chiral drugs with several applications in the biological and clinical field. The aim of this work was to study the sorption properties of the AGP-based stationary phase, which may have crucial importance for enantioselectivity. New binding data to the mechanism of the chromatographic separation are presented. The sorption of both organic solvents, i.e., acetonitrile and dioxane, shows remarkable pH dependency. A fluorescence quenching study was carried out to elucidate structural changes of AGP in the presence of acetonitrile using 2,2,2-trichloroethanol as fluorescence quencher.