Effect of AeroChamber Plus™ on the lung and systemic bioavailability of beclometasone dipropionate/formoterol pMDI.

AIM: To assess the effect of AeroChamber Plus™ on lung deposition and systemic exposure to extra-fine beclometasone dipropionate (BDP)/formoterol (100/6 µg) pMDI (Foster®). The lung deposition of the components of the combination given with the pMDI was also evaluated using the charcoal block technique. METHODS: Twelve healthy male volunteers received four inhalations of extra-fine BDP/formoterol (100/6 µg) using (i) pMDI alone, (ii) pMDI and AeroChamber Plus™ and (iii) pMDI and charcoal ingestion. RESULTS: Compared with pMDI alone, use of AeroChamber Plus™ increased the peak plasma concentrations (C(max)) of BDP (2822.3 ± 1449.9 vs. 5454.9 ± 3197.1 pg ml(-1)), its active metabolite beclometasone 17-monopropionate (17-BMP) (771.6 ± 288.7 vs. 1138.9 ± 495.6 pg ml(-1)) and formoterol (38.4 ± 17.8 vs. 54.7 ± 20.0 pg ml(-1)). For 17-BMP and formoterol, the AUC(0,30 min), indicative of lung deposition, was increased in the AeroChamber Plus™ group by 41% and 45%, respectively. This increase was mainly observed in subjects with inadequate inhalation technique. However, use of AeroChamber Plus™ did not increase the total systemic exposure to 17-BMP and formoterol. Results after ingestion of charcoal confirmed that AUC(0,30 min) can be taken as an index of lung bioavailability and that more than 30% of the inhaled dose of extra-fine BDP/formoterol 100/6 µg was delivered to the lung using the pMDI alone. CONCLUSIONS: The use of AeroChamber Plus™ optimizes the delivery of BDP and formoterol to the lung in subjects with inadequate inhalation technique. The total systemic exposure was not increased, supporting the safety of extra-fine BDP/formoterol pMDI with AeroChamber Plus™.

Design of O-acetylserine sulfhydrylase inhibitors by mimicking nature.

The inhibition of cysteine biosynthesis in prokaryotes and protozoa has been proposed to be relevant for the development of antibiotics. Haemophilus influenzae O-acetylserine sulfhydrylase (OASS), catalyzing l-cysteine formation, is inhibited by the insertion of the C-terminal pentapeptide (MNLNI) of serine acetyltransferase into the active site. Four-hundred MNXXI pentapeptides were generated in silico, docked into OASS active site using GOLD, and scored with HINT. The terminal P5 Ile accounts for about 50% of the binding energy. Glu or Asp at position P4 and, to a lesser extent, at position P3 also significantly contribute to the binding interaction. The predicted affinity of 14 selected pentapeptides correlated well with the experimentally determined dissociation constants. The X-ray structure of three high affinity pentapeptide-OASS complexes were compared with the docked poses. These results, combined with a GRID analysis of the active site, allowed us to define a pharmacophoric scaffold for the design of peptidomimetic inhibitors.

Identification of xenoestrogens in food additives by an integrated in silico and in vitro approach.

In the search for xenoestrogens within food additives, we have analyzed the Joint FAO-WHO expert committee database, containing 1500 compounds, using an integrated in silico and in vitro approach. This analysis identified 31 potential estrogen receptor alpha ligands that were reduced to 13 upon applying a stringent filter based on ligand volume and binding mode. Among the 13 potential xenoestrogens, four were already known to exhibit an estrogenic activity, and the other nine were assayed in vitro, determining the binding affinity to the receptor and biological effects. Propyl gallate was found to act as an antagonist, and 4-hexylresorcinol was found to act as a potent transactivator; both ligands were active at nanomolar concentrations, as predicted by the in silico analysis. Some caution should be issued for the use of propyl gallate and 4-hexylresorcinol as food additives.

Robust classification of "relevant" water molecules in putative protein binding sites.

A statistically validated protocol to identify "relevant" water molecules in protein binding sites using HINT score and a geometric descriptor termed Rank is described. In training, conservation/nonconservation was modeled for 86% of the waters. For the test set, 87% of waters were correctly classified (92% when crystallographic resolution was

Pyridoxal 5'-phosphate enzymes as targets for therapeutic agents.

The vitamin B(6)-derived pyridoxal 5'-phosphate (PLP) is the cofactor of enzymes catalyzing a large variety of chemical reactions mainly involved in amino acid metabolism. These enzymes have been divided in five families and fold types on the basis of evolutionary relationships and protein structural organization. Almost 1.5% of all genes in prokaryotes code for PLP-dependent enzymes, whereas the percentage is substantially lower in eukaryotes. Although about 4% of enzyme-catalyzed reactions catalogued by the Enzyme Commission are PLP-dependent, only a few enzymes are targets of approved drugs and about twenty are recognised as potential targets for drugs or herbicides. PLP-dependent enzymes for which there are already commercially available drugs are DOPA decarboxylase (involved in the Parkinson disease), GABA aminotransferase (epilepsy), serine hydroxymethyltransferase (tumors and malaria), ornithine decarboxylase (African sleeping sickness and, potentially, tumors), alanine racemase (antibacterial agents), and human cytosolic branched-chain aminotransferase (pathological states associated to the GABA/glutamate equilibrium concentrations). Within each family or metabolic pathway, the enzymes for which drugs have been already approved for clinical use are discussed first, reporting the enzyme structure, the catalytic mechanism, the mechanism of enzyme inactivation or modulation by substrate-like or transition state-like drugs, and on-going research for increasing specificity and decreasing side-effects. Then, PLP-dependent enzymes that have been recently characterized and proposed as drug targets are reported. Finally, the relevance of recent genomic analysis of PLP-dependent enzymes for the selection of drug targets is discussed.

Explaining cyclodextrin-mycotoxin interactions using a 'natural' force field.

Docking techniques and the HINT (Hydropathic Interaction) program were used to explain interactions of aflatoxin B(1) and ochratoxin A with beta- and gamma-cyclodextrins. The work was aimed at designing a chemosensor to identify very low concentrations of these mycotoxins by exploiting the affinity of the cyclodextrin cavity for many small organic molecules. Actually, the inclusion of the fluorescent portion of these toxins into the cavity may lower the quenching effect of the solvent, thus enhancing the luminescence. HINT is a 'natural' force field, based on experimentally determined LogP(octanol/water) values, that is able to consider both enthalpic and entropic contributions to the binding free energy with an unified approach. HINT is normally applied to predict the DeltaG degrees of binding for protein-ligand, protein-protein, and protein-DNA interactions. The leading forces in biomolecular processes are the same as those involved in organic host-guest inclusion phenomena, therefore we applied this methodology for the first time to cyclodextrin complexes. The results allowed us to explain spectroscopic data in absence of available crystallographic or NMR structural data.

The consequences of scoring docked ligand conformations using free energy correlations.

Ligands from a set of 19 protein-ligand complexes were re-docked with AutoDock, GOLD and FlexX using the scoring algorithms native to these programs supplemented by analysis using the HINT free energy force field. A HINT scoring function was calibrated for this data set using a simple linear regression of total HINT score for crystal-structure complexes vs. measured free energy of binding. This function had an r(2) of 0.84 and a standard error of +/-0.42 kcal mol(-1). The free energies of binding were calculated for the best poses using the AutoDock, GOLD and FlexX scoring functions. The AutoDock and GoldScore algorithms estimated more than half of the binding free energies within the reported calibration standard errors for these functions, while that of FlexX did not. In contrast, the calibrated HINT scoring function identified optimized poses with standard errors near +/-0.5 kcal mol(-1). When the metric of success is minimum RMSD (vs. crystallographic coordinates) the three docking programs were more successful, with mean RMSDs for the top-ranking poses in the 19 complexes of 3.38, 2.52 and 2.62 A for AutoDock, GOLD and FlexX, respectively. Two key observations in this study have general relevance for computational medicinal chemistry: first, while optimizing RMSD with docking score functions is clearly of value, these functions may be less well optimized for free energy of binding, which has broader applicability in virtual screening and drug discovery than RMSD; second, scoring functions uniquely calibrated for the data set or sets under study should nearly always be preferable to universal scoring functions. Due to these advantages, the poses selected by the HINT score also required less post-docking structure optimization to produce usable molecular models. Most of these features may be achievable with other scoring functions.

Molecular modeling of binding between amidinobenzisothiazoles, with antidegenerative activity on cartilage, and matrix metalloproteinase-3.

The aim of the work was to investigate the mechanism of binding between human metalloproteinase-3 (MMP-3) and new compounds belonging to the benzisothiazolylamidines class. In vitro tests suggest that these molecules, endowed with antinflammatory and cartilage antidegenerative activity, could act as ligands toward MMP-3. In lack of experimental structural informations, we performed molecular docking simulations to probe the interactions of benzisothiazolylamidines with matrix metalloproteinase-3, using the docking package GOLD and the software HINT as a post-process scoring function. Both GOLD and HINT predicted a binding mode for the compounds under analysis within the hydrophobic S1' pocket of MMP-3, without interaction with the catalytic Zn(2+) ion. The scores assigned by the programs to the interaction between the tested benzisothiazolylamidines and human MMP-3 were consistent with a potential direct enzyme inhibitory activity. The highest affinity was predicted for the N-(benzo[d]isothiazol-3-yl)-4-chlorobenzamidine (2), emerged as the most active derivative also in the in vitro tests.

Mapping the energetics of water-protein and water-ligand interactions with the "natural" HINT forcefield: predictive tools for characterizing the roles of water in biomolecules.

The energetics and hydrogen bonding pattern of water molecules bound to proteins were mapped by analyzing structural data (resolution better than 2.3A) for sets of uncomplexed and ligand-complexed proteins. Water-protein and water-ligand interactions were evaluated using hydropatic interactions (HINT), a non-Newtonian forcefield based on experimentally determined logP(octanol/water) values. Potential water hydrogen bonding ability was assessed by a new Rank algorithm. The HINT-derived binding energies and Ranks for second shell water molecules were -0.04 kcal mol(-1) and 0.0, respectively, for first shell water molecules -0.38 kcal mol(-1) and 1.6, for active site water molecules -0.45 kcal mol(-1) and 2.3, for cavity water molecules -0.55 kcal mol(-1) and 3.3, and for buried water molecules -0.56 kcal mol(-1) and 4.4. For the last four classes, similar energies indicate that internal and external water molecules interact with protein almost equally, despite different degrees of hydrogen bonding. The binding energies and Ranks for water molecules bridging ligand-protein were -1.13 kcal mol(-1) and 4.5, respectively. This energetic contribution is shared equally between protein and ligand, whereas Rank favors the protein. Lastly, by comparing the uncomplexed and complexed forms of proteins, guidelines were developed for prediction of the roles played by active site water molecules in ligand binding. A water molecule with high Rank and HINT score is unlikely to make further interactions with the ligand and is largely irrelevant to the binding process, while a water molecule with moderate Rank and high HINT score is available for ligand interaction. Water molecule displaced for steric reasons were characterized by lower Rank and HINT score. These guidelines, tested by calculating HINT score and Rank for 50 water molecules bound in the active site of four uncomplexed proteins (for which the structures of the liganded forms were also available), correctly predicted the ultimate roles (in the complex) for 76% of water molecules. Some failures were likely due to ambiguities in the structural data.