Development of classification models for identifying "true" P-glycoprotein (P-gp) inhibitors through inhibition, ATPase activation and monolayer efflux assays.

P-glycoprotein (P-gp) is an efflux pump involved in the protection of tissues of several organs by influencing xenobiotic disposition. P-gp plays a key role in multidrug resistance and in the progression of many neurodegenerative diseases. The development of new and more effective therapeutics targeting P-gp thus represents an intriguing challenge in drug discovery. P-gp inhibition may be considered as a valid approach to improve drug bioavailability as well as to overcome drug resistance to many kinds of tumours characterized by the over-expression of this protein. This study aims to develop classification models from a unique dataset of 59 compounds for which there were homogeneous experimental data on P-gp inhibition, ATPase activation and monolayer efflux. For each experiment, the dataset was split into a training and a test set comprising 39 and 20 molecules, respectively. Rational splitting was accomplished using a sphere-exclusion type algorithm. After a two-step (internal/external) validation, the best-performing classification models were used in a consensus predicting task for the identification of compounds named as "true" P-gp inhibitors, i.e., molecules able to inhibit P-gp without being effluxed by P-gp itself and simultaneously unable to activate the ATPase function.

Identification of selective ligands for human fibrin recognition using high-throughput docking.

The ultimate aim of this study is to identify new molecules that are able to recognize polymerized fibrin, which is the main component of a thrombus. These selective ligands can be exposed on the surface of particular nanoparticles used for the targeted delivery of fibrinolytic drugs. The targeted delivery of these drugs is expected to help to keep under control the severe side effects which can occur if the drugs are administered systemically. The study focuses on the application of high-throughput docking methods used to screen a library of thousands of commercial compounds. The aim was to identify molecules that are potentially capable of interacting with the human fibrin γ(312-324) epitope. The best scoring compounds were purchased and tested through fluorimetric assays in order to estimate their affinity toward fibrin. The results show that the protocol proposed here for identifying new compounds of interest may provide a valuable contribution to the discovery of lead molecules for human fibrin recognition.

Chemical reactivity predictions: use of data mining techniques for analyzing regioselective azidolysis of epoxides.

Azidolysis of epoxides followed by reduction of the intermediate azido alcohols constitutes a valuable synthetic tool for the construction of beta-amino alcohols, an important chemical functionality occurring in many biologically active compounds of natural origin. However, depending on conditions under which the azidolysis is carried out, two regioisomeric products can be formed, as a consequence of the nucleophilic attack on both the oxirane carbon atoms. In this work, predictive models for quantitative structure-reactivity relationships were developed by means of multiple linear regression, k-nearest neighbor, locally weighted regression, and Gaussian Process regression algorithms. The specific nature of the problem at hand required the creation of appropriate new descriptors, able to properly reflect the most relevant features of molecular moieties directly involved in the opening process. The models so obtained are able to predict the regioselectivity of the azidolysis of epoxides promoted by sodium azide, in the presence of lithium perchlorate, on the basis of steric hindrance, and charge distribution of the substituents directly attached to the oxirane ring.

Enhancer and competitive allosteric modulation model for G-protein-coupled receptors.

A new mathematical model, referred to as Enhancer and Competitive Allosteric Modulator (ECAM) model, developed with the aim of quantitatively describing the interaction of an allosteric modulator with both enhancer and competitive properties towards G-protein-coupled receptors is described here. Model simulations for equilibrium (displacement-like and saturation-like), and kinetic (association and dissociation) binding experiments were performed. The results showed the ability of the model to interpret a number of possible ligand-receptor binding behaviors. In particular, the binding properties of PD81723, an enhancer and competitive allosteric modulator for the adenosine A(1) receptor, were experimentally evaluated by radioligand binding assays and interpreted by the ECAM model. The results also offer a theoretical background enabling the design and optimization of compounds endowed with allosteric enhancer, competitive, agonist, antagonist, and inverse agonist properties.

Three-dimensional models of the oligomeric human asialoglycoprotein receptor (ASGP-R).

The work presented here is aimed at suggesting plausible hypotheses for functional oligomeric forms of the human asialoglycoprotein receptor (ASGP-R), by applying a combination of different computational techniques. The functional ASGP-R is a hetero-oligomer, that comprises of several subunits of two different kinds (H1 and H2), which are highly homologous. Its stoichiometry is still unknown. An articulated step-wise modeling protocol was used in order to build the receptor model in a minimal oligomeric form, necessary for it to bind multi-antennary carbohydrate ligands. The ultimate target of the study is to contribute to increasing the knowledge of interactions between the human ASGP-R and carbohydrate ligands, at the molecular level, pertinent to applications in the field of hepatic tissue engineering.

QSAR studies on BK channel activators.

QSAR studies were developed on the basis of a dataset comprising BK channel activators previously synthesized and biologically assayed in our laboratory, in order to obtain highly accurate models enabling prediction of affinity toward the channel for New Chemical Entities (NCEs). Many molecular descriptors were computed by the CODESSA software. They were initially exploited in order to rationally split the available dataset into training and test set pairs, which supplied the basis for the development of QSAR models. Models were subjected to rigorous validation analysis based on the estimate of several statistical parameters, for the seek of the most accurate and simplest model enabling prediction of BK channel affinity.

Synthesis, biological assays and QSAR studies of N-(9-benzyl-2-phenyl-8-azapurin-6-yl)-amides as ligands for A1 adenosine receptors.

2-Phenyl-9-benzyl-8-azapurines, bearing at the 6 position an amido group interposed between the 8-azapurine moiety and an alkyl or a substituted phenyl group, have been synthesised and assayed as ligands for adenosine receptors. All the compounds show high affinity for the A(1) adenosine receptor, and many of them also show a good selectivity for A(1) with respect to A(2A) and A(3) adenosine receptors. Based on the quite rich library containing such compounds and relevant biological data, QSAR models, able to rationalise the results and to give a quantitative estimate of the observed trends were also developed. The obtained models can assist in the design of new compounds selectively active on A(1) adenosine receptor.

Predictive models, based on classification algorithms, for compounds potentially active as mitochondrial ATP-sensitive potassium channel openers.

Heart mitochondrial ATP-sensitive potassium channel (mito-K(ATP) channels) are deeply implicated in the self-defense mechanism of ischemic preconditioning. Therefore, exogenous molecules activating these channels are considered as a promising pharmacological tool to reduce the myocardial injury deriving from ischemia/reperfusion events. In our laboratory, a series of 4-spiro-substituted benzopyran derivatives were earlier synthesized and some of them exhibited anti-ischemic properties. In this study, the above compounds are exploited in order to develop QSAR models, based on classification approaches, capable of discriminating between the ones acting as cardioprotective agents and those that are unable to elicit such a property. Molecules belonging to the whole dataset were subjected to CODESSA and E-Dragon calculations in order to compute a large number of molecular descriptors enabling the construction of classification models. Based on the two program packages used, two different experiments were carried out, with the aim of identify batteries of models to be exploited for designing new cardioprotective agents from libraries of new chemical entities. Both model batteries satisfy the rigorous criteria adopted for the validation, either when tested on the training and test set, according to the most straightforward protocol, and when tested on an additional prediction set. They were proven to ensure successful applications in the field of cardioprotective agent design.

Identification of "toxicophoric" features for predicting drug-induced QT interval prolongation.

Drugs delaying cardiac repolarization by blockade of hERG K(+) channel generally prolong the QT interval of the electrocardiogram, an effect regarded as a cardiac risk factor with the potential to cause 'torsade des pointes'-type arrhythmias in humans. The present study applied a homology building technique and molecular dynamics simulations to model the pore of hERG K(+) channel. A docking analysis was then performed on selected ligands which were classified as QT-prolonging or non-prolonging after experimental measurements in in vivo anesthetized guinea pig. The results of this structural analysis provided a "toxicophoric" model that was further exploited to inspect a dataset of known QT-prolonging/non-prolonging molecules. The emerging major chemical features to be avoided, in order to obtain cardiac safe therapeutic agents, comprise the simultaneous presence of (i) a protonated nitrogen atom within an observed range of distances from a heteroatom; (ii) aromatic groups capable of interacting within an area defined by Gly657 residues of the pore or within an area located at the top of the longitudinal axis of the pore. Moreover, additional hydrophobic moieties interacting with one of the equatorial cavities located in the area near-by Tyr652 residues and/or with a hydrophobic ring defined by Phe656 residues should be avoided.

N6-1,3-diphenylurea derivatives of 2-phenyl-9-benzyladenines and 8-azaadenines: synthesis and biological evaluation as allosteric modulators of A2A adenosine receptors.

Some 1-[4-(9-benzyl-2-phenyl-9H-purin-6-ylamino)-phenyl]-3-phenyl-urea derivatives and some 1-[4-(9-benzyl-2-phenyl-9H-8-azapurin-6-ylamino)-phenyl]-3-phenyl-urea derivatives were synthesised and evaluated for their interaction with adenosine receptors. It was found that some of these compounds can act as positive enhancers of agonist and antagonist radioligands for the A(2A) adenosine receptors. This evidence was also strengthened by functional data. Other compounds can act as negative modulators. Furthermore these compounds show inhibitory properties for A(1) and A(3) adenosine receptors.

QSAR study on a novel series of 8-azaadenine analogues proposed as A1 adenosine receptor antagonists.

8-Azaadenines have been recently proposed as a novel promising class of adenosine A1 receptor antagonists. A QSAR study on 45 derivatives, synthesized in our laboratory as antagonists for A1 receptor, is described here. The use of the CODESSA program allowed obtaining a quite simple equation capable of correlating the structural features of these ligands to their activity toward A1 receptor. The model was investigated for reliability and stability by using statistical analysis criteria stricter than usual. Particular care was put in defining the chemical space where the model gave reliable predictions. The model allowed the identification of relevant structural features required for the interaction with the A1 receptor, enabling the prediction of activity of molecules belonging to focused virtual libraries.

Molecular modelling of human CYP2D6 and molecular docking of a series of ajmalicine- and quinidine-like inhibitors.

3D-models were created and refined for CYP2D6 and for its complexes with ajmalicine and quinidine. The influence of the conformation of the enzyme active site on its interaction with ligands was evaluated by performing three series of molecular docking on selected ajmalicine- and quinidine-like inhibitors. The results suggested that the experimental binding values of ajmalicine- and quinidine-like inhibitors better fit with the energetic terms derived from their interaction with structures of CYP2D6 obtained by, respectively, optimizing the ajmalicine/CYP2D6 and the quinidine/CYP2D6 complexes, rather than exploiting the 3D-strucure of the enzyme not subjected to a ligand-induced conformational change. It suggests the relevance of induced-fit phenomena in the biological system of interest.

Structural perturbation of alphaB-crystallin by zinc and temperature related to its chaperone-like activity.

alphaB-crystallin is a small heat shock protein that shows chaperone-like activity, as it protects the aggregation of denatured proteins. In this work, the possible relationships between structural characteristics and the biological activity of alphaB-crystallin were investigated on the native protein and on the protein undergoing the separate effects of metal ligation and temperature. The chaperone-like activity of alphaB-crystallin increased in the presence of zinc and when temperature was increased. By using fluorescent probes to monitor hydrophobic surfaces on alphaB-crystallin, it was found that exposed hydrophobic patches on the protein surface increased significantly both in the presence of zinc and when the temperature was raised from 25 to 37 degrees C. The zinc-induced increased exposure of lipophilic residues is in agreement with theoretical calculations performed on 3D-models of monomeric alphaB-crystallin, and may be significant to its increased biological activity.

Astacin gene family of metalloproteinases in planarians: Structural organization and tissue distribution.

Planarian flatworms possess extraordinary regenerative capability and body plasticity, which rely on a composite population of stem cells, the neoblasts. Despite impressive advances have been recently achieved in the knowledge of neoblast biology, few is still known about factors that are released by differentiated tissues and influence the neoblast fate. Extracellular matrix (ECM) is a fundamental component of the stem cell niche and its remodeling affects stem cell fate. Here we provide the characterization of the astacin gene family of metalloproteinases in planarians, good candidate enzymes for generating dynamicity in the ECM. Ten and eighteen astacin isoforms were identified in the planarian species Schmidtea mediterranea and Dugesia japonica, respectively. Besides the already characterized Smedolloid, in Schmidtea mediterranea are present eight astacins with a minimal structure (a signal peptide, an activation domain and a Zn-binding catalytic domain), that are colocalized in large cells organized in a peculiar, not yet morphologically characterized, two-ring-shaped structure located in the middle of the body. A single astacin, characterized by a ShK toxin domain in its C-terminal region, has been found to be produced in gastrodermal cells.

Cell-specific pattern of berberine pleiotropic effects on different human cell lines.

The natural alkaloid berberine has several pharmacological properties and recently received attention as a potential anticancer agent. In this work, we investigated the molecular mechanisms underlying the anti-tumor effect of berberine on glioblastoma U343 and pancreatic carcinoma MIA PaCa-2 cells. Human dermal fibroblasts (HDF) were used as non-cancer cells. We show that berberine differentially affects cell viability, displaying a higher cytotoxicity on the two cancer cell lines than on HDF. Berberine also affects cell cycle progression, senescence, caspase-3 activity, autophagy and migration in a cell-specific manner. In particular, in HDF it induces cell cycle arrest in G2 and senescence, but not autophagy; in the U343 cells, berberine leads to cell cycle arrest in G2 and induces both senescence and autophagy; in MIA PaCa-2 cells, the alkaloid induces arrest in G1, senescence, autophagy, it increases caspase-3 activity and impairs migration/invasion. As demonstrated by decreased citrate synthase activity, the three cell lines show mitochondrial dysfunction following berberine exposure. Finally, we observed that berberine modulates the expression profile of genes involved in different pathways of tumorigenesis in a cell line-specific manner. These findings have valuable implications for understanding the complex functional interactions between berberine and specific cell types.

Synthesis, biological activity and molecular modelling of new trisubstituted 8-azaadenines with high affinity for A1 adenosine receptors.

We describe here the synthesis and biological activity of new 8-azaadenines bearing both a phenyl group on C(2) and a 9-benzyl group substituted in the ortho position with a Cl or a F atom or a CF(3) group, to verify the synergistic effect of a combination of these substitution patterns on binding with the A(1) adenosine receptors. In position N(6) aliphatic and cycloaliphatic substituents were chosen which had been shown to bind well with the A(1) receptors. Because of the high lipophilicity of these kinds of molecules, we also introduced a hydroxyalkyl substituent in the same position. The compounds obtained generally showed a very good affinity and selectivity for A(1) receptors. Some of the compounds showed K(i) in the nanomolar range, one even in the subnanomolar range (0.6 M). Molecular docking calculations were performed in order to evaluate the interaction energies between the bovine A(1) receptor model and the selected ligands, and then to correlate these energies with biological activities of the ligands as obtained from the experiments. Molecular docking analysis suggests different binding modes towards A(1) receptors that are plausible for these ligands.

A modeling study of alphaB-crystallin in complex with zinc for seeking of correlations between chaperone-like activity and exposure of hydrophobic surfaces.

Three-dimensional models for alphaB-crystallin and its complex with zinc were obtained by molecular homology modeling and quantum mechanical calculations in order to explain the effect of the metal on the chaperone-like activity of alphaB-crystallin. In fact, measurements of the chaperone-like activity of alphaB-crystallin revealed that it is significantly increased in presence of the zinc. The theoretical models allowed us to estimate the increased exposition of hydrophobic residues caused by the presence of zinc, suggesting a relationship between structural changes and the increased chaperone-like activity.

In vitro studies of antifibrotic and cytoprotective effects elicited by proto-berberine alkaloids in human dermal fibroblasts.

BACKGROUND: The pathogenic mechanisms of skin fibrosis are still not completely understood, unlike the profibrotic role played by inflammatory cytokines and transforming growth factor-ß1 (TGF-ß1). Few antifibrotic drugs are available. Nevertheless, folk medicine suggests numerous treatments of fibrotic conditions. Based on information from folk medicine and literature, the hypothesis was made that proto-berberine alkaloids could act as antifibrotic and cytoprotective agents. METHODS: The effects of berberine, dihydroberberine, canadine, stylopine, and coptisine were investigated on an in vitro model of fibrosis purposely set up. The study is based on the use of human dermal fibroblasts (HDF). The ability of the proto-berberine alkaloids investigated to modulate mitochondrial dehydrogenase activity, cell proliferation, collagen production, and inflammatory cytokine (IL-1ß and IL-6) production was tested on HDF cells grown under standard growth conditions, in the presence of 100 µM H(2)O(2), simulating oxidative stress conditions, and in the presence of 34 ng/ml TGF-ß1, simulating fibrotic conditions. Antiradical activity was assayed as well, as it could contribute to cytoprotection. RESULTS: Each alkaloid tested showed peculiar effects on HDF. In particular, all of the alkaloids tested, with the exception of coptisine, inhibited TGF-ß1-induced collagen production. CONCLUSIONS: Due to its irritant effects and the lack of desired properties, coptisine has low exploitation potentialities. The other proto-berberine alkaloids investigated resulted all endowed with activities for which they can be exploited as antifibrotic and cytoprotective agents. Stylopine globally proved to be the most promising compound, being endowed with revitalizing, anti-inflammatory, antifibrotic and wound-healing promoting activities, and showing no toxic effects.

Rare disease registries classification and characterization: a data mining approach.

BACKGROUND: The European Commission and Patients Organizations identify rare disease registries (RDRs) as strategic instruments to develop research and improve knowledge in the field of rare diseases. Interoperability between RDRs is needed for research activities, validation of therapeutic treatments, and public health actions. Sharing and comparing information requires a uniform and standardized way of data collection, so levels of interconnection between RDRs with similar aims and/or nature of data should be identified. The objective of this study is to define a classification and characterization of RDRs in order to identify different profiles and informative needs. METHODS: Exploratory statistical analyses (cluster analysis and random forest) were applied to data derived from the EPIRARE project ('Building Consensus and Synergies for the EU Rare Disease Patient Registration') survey on the activities and needs of RDRs. RESULTS: The cluster analysis identified 3 main typologies of RDRs: public health, clinical and genetic research, and treatment registries. The analysis of the most informative variables, identified by the random forest method, led to the characterization of 3 types of RDRs and the definition of different profiles and informative needs. CONCLUSIONS: These results represent a useful source of information to facilitate the harmonization and interconnection of RDRs in accordance with the different profiles identified. It could help sharing the information between RDRs with similar profiles and, whenever possible, interconnections between registries with different profiles.

Berberine exposure triggers developmental effects on planarian regeneration.

The mechanisms of action underlying the pharmacological properties of the natural alkaloid berberine still need investigation. Planarian regeneration is instrumental in deciphering developmental responses following drug exposure. Here we report the effects of berberine on regeneration in the planarian Dugesia japonica. Our findings demonstrate that this compound perturbs the regenerative pattern. By real-time PCR screening for the effects of berberine exposure on gene expression, we identified alterations in the transcriptional profile of genes representative of different tissues, as well as of genes involved in extracellular matrix (ECM) remodeling. Although berberine does not influence cell proliferation/apoptosis, our experiments prove that this compound causes abnormal regeneration of the planarian visual system. Potential berberine-induced cytotoxic effects were noticed in the intestine. Although we were unable to detect abnormalities in other structures, our findings, sustained by RNAi-based investigations, support the possibility that berberine effects are critically linked to anomalous ECM remodeling in treated planarians.