Isoxazole derivatives as potent transient receptor potential melastatin type 8 (TRPM8) agonists.

Modulation of the transient receptor potential melastatin type-8 (TRPM8), the receptor for menthol acting as the major sensor for peripheral innocuous cool temperatures, has several important applications in pharmaceutical, food and cosmetic industries. In the present study, we designed 12 isoxazole derivatives and tested their pharmacological properties both in F11 sensory neurons in vitro, and in an in vivo model of cold allodynia. In F11 sensory neurons, single-cell Ca(2+)-imaging experiments revealed that, when compared to menthol, some newly-synthesized compounds were up to 200-fold more potent, though none of them showed an increased efficacy. Some isoxazole derivatives potentiated allodynic responses elicited by acetone when administered to rats subjected to sciatic nerve ligation; when compared to menthol, these compounds were efficacious at earlier (0-2 min) but not later (7-9 or 14-16 min) time points. Docking experiments performed in a human TRPM8 receptor model revealed that newly-synthesized compounds might adopt two possible conformations, thereby allowing to distinguish "menthol-like" compounds (characterized by high efficacy/low potency), and "icillin-like" compounds (with high potency/low efficacy). Collectively, these data provide rationale structure-activity relationships for isoxazole derivatives acting as TRPM8 agonists, and suggest their potential usefulness for cold-evoked analgesia.

Partition coefficient and molecular flexibility: the concept of lipophilicity space.

The rationale of this study was to investigate molecular flexibility and its influence on physicochemical properties with a view to uncovering additional information on the fuzzy concept of dynamic molecular structure. Indeed, it is now known that computed molecular interaction fields (MIFs) such as molecular electrostatic potentials (MEPs) and lipophilicity potentials (MLPs) are conformation-dependent, as are dipole moments. A database of 125 compounds was used whose conformational space was explored, while conformation-dependent parameters were computed for each non-redundant conformer found in the conformational space of the compounds. These parameters were the virtual log P (log P(MLP), calculated by a MLP approach), the apolar surface area (ASA), polar surface area (PSA), and solvent-accessible surface (SAS). For each compound, the range taken by each parameter (its property space) was divided by the number of rotors taken as an index of flexibility, yielding a parameter termed 'molecular sensitivity'. This parameter was poorly correlated with others (i.e., it contains novel information) and showed the compounds to fall into two broad classes. 'Sensitive' molecules are those whose computed property ranges are markedly sensitive to conformational effects, whereas 'insensitive' (in fact, less sensitive) molecules have property ranges which are comparatively less affected by conformational fluctuations. A pharmacokinetic application is presented.

Binary polymeric blends to microencapsulate nitroflurbiprofen: physicochemical and in silico studies.

Nitroflurbiprofen, NFP, a practically insoluble liquid drug, was microencapsulated in hydrophilic micromatrices made of poly(N-vinylpyrrolidone) (PVP), or polyaminomethacrylate (PAMA), or binary blends of polymers thereof. The PAMA/PVP miscibility was assessed both in the solid state (DSC and ATF-FTIR spectroscopy) and in solution by viscometric measurements. The in vitro NFP release test was carried out in over saturation condition to discriminate the increase of NFP apparent solubility (supersaturation degree, SD). Drug/polymer/polymer/water interactions were studied in silico by molecular dynamic (MD) simulations. PAMA and PVP resulted miscible only in aqueous solution. The release of NFP from microparticles occurred according to a non-monotonic pattern due to the formation of instable supersaturated systems and the drug separation in the dissolution medium. After 5 min, the SD was at least 3. The use of PVP/PAMA micromatrices reduced the instability of the supersaturated solutions. MD simulations evidenced that water molecules play a key role in the PAMA/PVP compatibilization process and in stabilization of NFP supersaturated systems by means of H-bond. The docking analyses here find a novel and successful application to predict the different ability of a drug to interact with polymeric blends in solution.

Range and sensitivity as descriptors of molecular property spaces in dynamic QSAR analyses.

In this paper, we report the first study aimed at correlating pharmacological properties with molecular parameters derived from the physicochemical property space of bioactive molecules. A dataset of 36 ligands of the alpha(1a)-, alpha(1b)-, and alpha(1d)-adrenoceptors as published by Bremner et al. (Bioorg. Med. Chem. 2000, 8, 201-214) was used. One thousand conformers were generated for each ligand by Monte Carlo conformational analysis, and four 3D-dependent physicochemical properties were computed for each conformer of each ligand, namely virtual lipophilicity (log P), dipole moment, polar surface area (PSA), and solvent-accessible surface area (SAS). Thus, a space of four physicochemical properties was obtained for each ligand. These spaces were assessed by two descriptors, namely their range and their sensitivity (i.e., the variation amplitude of a given physicochemical property for a given variation in molecular geometric properties). Little or no correlation was found to exist between the physicochemical properties and their range or sensitivity, indicating that the latter descriptors do not encode the same molecular information as the former properties. As expected, neither the range nor the sensitivity of any of the four physicochemical properties correlated with receptor affinities. In contrast, range and sensitivity showed promising correlations with deltapK(a-b) (i.e., the alpha(1a)/alpha(1b) selectivity) for the complete dataset. The correlations were lower for deltapK(a-d) (i.e., the alpha(1a)/alpha(1d) selectivity), whereas there was no correlation at all with deltapK(b-d). These results are consistent with the results of Bremner et al., which indicate that the alpha(1a)-AR ligands bind in an extended geometry, whereas the alpha(1b)-AR and alpha(1d)-AR ligands assume more folded conformations. Since the property space descriptors presented here take structural variability into account, their correlation with deltapK(a-b) and deltapK(a-d) indicates that these selectivities are indeed driven by differences in conformational behavior and hence in property spaces.