Marco Tutone

IKK-β inhibitors: An analysis of drug–receptor interaction by using Molecular Docking and Pharmacophore 3D-QSAR approaches

The IKK kinases family represents a thrilling area of research because of its importance in regulating the activity of NF-kB transcription factors. The discovery of the central role played by IKK-beta in the activation of transcription in response to apoptotic or inflammatory stimuli allowed to considerate its modulation as a promising tool for the treatment of chronic inflammation and cancer. To date, several IKK-beta inhibitors have been discovered and tested. In this work, an analysis of the interactions between different classes of inhibitors and their biological target was performed, through the application of Molecular Docking and Pharmacophore/3D-QSAR approaches to a set of 141 inhibitors included in the Binding Database. In order to overcome the difficulty due to the lack of crystallographic data for IKK-beta, a homology model of this protein has been built and validated. The results allowed to study in depth the structural bases for the interaction of each family of inhibitors and provided clues for further modifications, with the aim of improving the activity and selectivity of designed drugs targeting this enzyme.

3D-QSAR pharmacophore modeling and in silico screening of new Bcl-xl inhibitors.

Bcl-2 proteins family members play several roles in tumoral proliferation: they inhibit proapoptotic activity during oncogenesis, support tumor cells survival, induce chemoresistance. The discovery of new small inhibitors of Bcl-xl represents a new frontier for cancer treatment. In this study, a 3D-QSAR pharmacophore model was developed, based on 42 biarylacylsulfonamides, and used to understand the structural factors affecting the inhibitory potency of these derivatives. Aromatic, negative charge, and hydrogen bond acceptor effects contribute to the inhibitory activity. The model was then employed as 3D search query to screen ZINC drug-like database in order to select new scaffolds. Finally six hits were identified. Docking study evidenced the capability of these compounds to interact with Bcl-xl receptor, and they were selected for further in vitro and in vivo assay studies.

Molecular Modeling Approaches in the Discovery of New Drugs for Anti-Cancer Therapy: The Investigation of p53-MDM2 Interaction and its Inhibition by Small Molecules

The mdm2 oncogene product, MDM2, is an ubiquitin protein ligase that inhibits the transcriptional activity of the tumor suppressor p53 and promotes its degradation. About 50% of all human cancers present mutations or deletions in the TP53 gene. In the remaining half of all human neoplasias that express the wild-type protein, aberrations of p53 regulators, such as MDM2, account for p53 inhibition. For this reason, designing small-molecule inhibitors of the p53-MDM2 protein-protein interaction is a promising strategy for the treatment of cancers retaining wild-type p53. The development of inhibitors has been challenging. Although many small-molecule MDM2 inhibitors have shown potent in vitro activity, only a limited number of compounds have demonstrated to possess acceptable pharmacokinetic properties for in vivo evaluation. To date, the most studied chemotypes have been cis-imidazolines (such as nutlins), benzodiazepines, and spiro-oxindoles. The cis-imidazolines were the first discovered potent and selective small-molecule inhibitors of the p53-MDM2 interaction and they continue to show therapeutic potential. This review will focus on recent molecular modeling approaches (molecular dynamics, pharmacophore-based, molecular docking, structure-based design) used with the aim to better understand the behavior of these proteins and to discover new small-molecule inhibitors of the p53-MDM2 protein-protein interaction for the treatment of cancer.

A3 adenosine receptor: homology modeling and 3D-QSAR studies.

Adenosine receptors (AR) belong to the superfamily of G-protein-coupled receptors (GPCRs). They are divided into four subtypes (A1, A2A, A2B, and A3) and can be distinguished on the basis of their distinct molecular structures, distinct tissues distribution, and selectivity for adenosine analogs. The hA3R, the most recently identified adenosine receptor, is involved in a variety of intracellular signaling pathways and physiological functions. Expression of hA3R was reported to be elevated in cancerous tissues and A3 antagonists could be proposed for therapeutic treatments of tumor. By using the crystal structure of hA2A adenosine receptor, recently published, we were able to obtain a model for A3R, further optimized using nanosecond scale molecular dynamics simulation. One hundred twenty two active and selective compounds were docked into this model and used as training set to generate pharmacophore models. These last address the prevalent features to be used for the search of new inhibitors. Therefore, it was employed as template to screen the ZINC database in the attempt to find new potent and selective human A3R antagonists. Our theoretical model of hA3 adenosine receptor was used to evaluate and quantify the structure-activity relationship of known antagonists. Moreover the obtained 3D-QSAR model allowed to identify new potential inhibitors.

Molecular Dynamics studies on Mdm2 complexes: an analysis of the inhibitor influence

p53 is a powerful anti-tumoral molecule frequently inactivated by mutations or deletions in cancer. However, half of all human tumors expresses wild-type p53, and its activation, by antagonizing its negative regulator Mdm2, might offer a new strategy for therapeutic protocol. In this work, we present a molecular dynamics study on Mdm2 structure bound to two different known inhibitors with the aim to investigate the structural transitions between apo-Mdm2 and Mdm2-inhibitor complexes. We tried to gain information about conformational changes binding a benzodiazepine derivative inhibitor with respect the known nutlin and the apo form. The conformational changes alter the size of the cleft and were mainly in the linker regions, suggesting that the overall dynamic nature of Mdm2 is related to dynamic movements in these regions.

Indicaxanthin from Opuntia ficus-indica Crosses the Blood–Brain Barrier and Modulates Neuronal Bioelectric Activity in Rat Hippocampus at Dietary-Consistent Amounts

Indicaxanthin is a bioactive and bioavailable betalain pigment from the Opuntia ficus-indica fruits. In this in vivo study, kinetic measurements showed that indicaxanthin is revealed in the rat brain within 1 h from oral administration of 2 μmol/kg, an amount compatible with a dietary consumption of cactus pear fruits in humans. A peak (20 ± 2.4 ng of indicaxanthin per whole brain) was measured after 2.5 h; thereafter the molecule disappeared with first order kinetics within 4 h. The potential of indicaxanthin to affect neural activities was in vivo investigated by a microiontophoretic approach. Indicaxanthin, administered in a range between 0.085 ng and 0.34 ng per neuron, dose-dependently modulated the rate of discharge of spontaneously active neurons of the hippocampus, with reduction of the discharge and related changes of latency and duration of the effect. Indicaxanthin (0.34 ng/neuron) showed inhibitory effects on glutamate-induced excitation, indicating activity at the level of glutamatergic synapses. A molecular target of indicaxanthin is suggested by in silico molecular modeling of indicaxanthin with N-methyl-D-aspartate receptor (NMDAR), the most represented of the glutamate receptor family in hippocampus. Therefore, at nutritionally compatible amounts indicaxanthin (i) crosses the rat BBB and accumulates in brain; (ii) can affect the bioelectric activity of hippocampal neurons locally treated with amounts comparable with those measured in the brain; and (iii) modulates glutamate-induced neuronal excitation. The potential of dietary indicaxanthin as a natural neuromodulatory agent deserves further mechanistic and neurophysiologic investigation.

Phytochemical Indicaxanthin Inhibits Colon Cancer Cell Growth and Affects the DNA Methylation Status by Influencing Epigenetically Modifying Enzyme Expression and Activity

Background: Recently, we have shown anti-proliferative and pro-apoptotic effects of indicaxanthin associated with epigenetic modulation of the onco-suppressor p16INK4a in the human colon cancer cell line CACO2. In the present study, the epigenetic activity of indicaxanthin and the mechanisms involved were further investigated in other colorectal cancer cell lines. Methods: LOVO1, CACO2, HT29, HCT116, and DLD1 cells were used to evaluate the potential influence of consistent dietary concentrations of indicaxanthin on DNA methylation, and the epigenetic mechanisms involved were researched. Results: Indicaxanthin exhibited anti-proliferative activity in all cell lines but HT29, induced demethylation in the promoters of some methylation-silenced onco-suppressor genes involved in colorectal carcinogenesis (p16INK4a, GATA4, and ESR1), and left unchanged others which were basally hypermethylated (SFRP1 and HPP1). In apparent contrast, cell exposure to indicaxanthin increased DNMT gene expression, although indicaxanthin appeared to be an inhibitor of DNMT activity. Indicaxanthin also increased the expression of genes involved in DNA demethylation. Finally, an in silico molecular modelling approach suggested stable binding of indicaxanthin at the DNMT1 catalytic site. Conclusions: Our findings contribute to new knowledge in the field of phytochemicals and specifically suggest dietary indicaxanthin as a potential epigenetic agent to protect colon cells against tumoral alterations.

Docking and multivariate methods to explore HIV-1 drug-resistance: a comparative analysis

In this paper we describe a comparative analysis between multivariate and docking methods in the study of the drug resistance to the reverse transcriptase and the protease inhibitors. In our early papers we developed a simple but efficient method to evaluate the features of compounds that are less likely to trigger resistance or are effective against mutant HIV strains, using the multivariate statistical procedures PCA and DA. In the attempt to create a more solid background for the prediction of susceptibility or resistance, we carried out a comparative analysis between our previous multivariate approach and molecular docking study. The intent of this paper is not only to find further support to the results obtained by the combined use of PCA and DA, but also to evidence the structural features, in terms of molecular descriptors, similarity, and energetic contributions, derived from docking, which can account for the arising of drug-resistance against mutant strains.

Multivariate analysis in the identification of biological targets for designed molecular structures: The BIOTA protocol

In this work the new protocol BIOlogical Target Assignation (BIOTA) for the prediction of the biological target from molecular structures is proposed. BIOTA is based on the Principal Components Analysis (PCA) application on a matrix of ligands versus molecular descriptors. The application of BIOTA could allow to hypothesize the mechanism of action of a candidate drug prior to its biological evaluation or to repurpose old drugs. The protocol can be fine-tuned by choosing opportune targets (biological or not) and molecular descriptors, and it can be useful in every fields in with it is possible to collect set of compounds with known properties. The robustness of the protocol depends from different factors: the correctness of biological data, the optimization of the molecular structures and their molecular descriptors calculation, the selection of the biological targets. The application of BIOTA to a new class of Hsp90 inhibitors was able to predict quite correctly their affinity for Hsp90.

In vitro and in silico studies of polycondensed diazine systems as anti-parasitic agents.

Parasitic diseases caused by protozoarian agents are still relevant today more than ever. Recently, we synthesized several polycondensed diazine derivatives by means 1,3-dipolar cycloaddition reactions. A broad selection of these compounds were submitted to in vitro biological screening against Plasmodium falciparum, Leishmania infantum, Trypanosoma brucei, and Trypanosoma cruzi, resulting active at micromolar level. Induced Fit Docking/MM-GBSA studies were performed giving interesting indications about the probable mechanism of action of the most active compounds.