Giulio Poli

Extensive consensus docking evaluation for ligand pose prediction and virtual screening studies.

Molecular docking strategies are one of the most widely used techniques for predicting the binding mode of a ligand and for obtaining new hits in virtual screening studies. In order to improve the accuracy of this approach, we tested the reliability of applying a consensus docking protocol by combining ten different docking procedures. The analysis was carried out in terms of consensus cross-docking and by using an enriched database. The results highlight that from a qualitative point of view consensus docking is able to predict the ligand binding pose better than the single docking programs and is also able to give hints concerning the reliability of the docking pose. With regard to the virtual screening studies, consensus docking was evaluated for three different targets of the Directory of Useful Decoys (DUD), and the obtained results suggest that this approach performs as well as the best available methods found in the literature, therefore supporting the idea that this procedure can be profitably applied for the identification of new hits.

Reliability analysis and optimization of the consensus docking approach for the development of virtual screening studies

Abstract Ligand-protein docking is one of the most common techniques used in virtual screening campaigns. Despite the large number of docking software available, there is still the need of improving the efficacy of docking-based virtual screenings. To date, only very few studies evaluated the possibility of combining the results of different docking methods to achieve higher success rates in virtual screening studies (consensus docking). In order to better understand the range of applicability of this approach, we carried out an extensive enriched database analysis using the DUD dataset. The consensus docking protocol was then refined by applying modifications concerning the calculation of pose consensus and the combination of docking methods included in the procedure. The results obtained suggest that this approach performs as well as the best available methods found in literature, confirming the idea that this procedure can be profitably used for the identification of new hit compounds.

Application of a FLAP-consensus docking mixed strategy for the identification of new fatty acid amide hydrolase inhibitors.

Fatty acid amide hydrolase (FAAH) is the principal responsible for the termination of anandamide signaling, a major actor of the endocannabinoid system. The indirect stimulation of endocannabinoid responses achieved through FAAH inhibition can represent a valid pharmacological strategy for the treatment of neurodegenerative and neuroinflammatory diseases such as multiple sclerosis, Alzheimers, Huntingtons, and Parkinsons diseases, as well as rheumatoid arthritis, gastrointestinal inflammatory states, anxiety, and other pathologies. With the aim of identifying new noncovalent FAAH inhibitors and also experimentally validating the reliability of the recently reported consensus docking approach, we filtered a commercial database of about 1 million compounds by using a mixed FLAP (fingerprints for ligands and proteins) consensus docking approach. Enzymatic assays showed FAAH inhibitory activity and selectivity versus MAGL for 8 out of the 10 top ranked compounds, with IC50 values in the low micromolar range for the two most active compounds. These results demonstrate the reliability of the virtual screening strategy and constitute an experimental validation of the consensus docking approach. Moreover, the two most active compounds described could represent promising leads for the development of high potent noncovalent FAAH inhibitors.

Identification of new FYN kinase inhibitors using a FLAP-based approach

The abnormal activity of Fyn tyrosine kinase has been shown to be related to various human cancers. Furthermore, its involvement in signaling pathways that lead to severe pathologies, such as Alzheimers and Parkinsons diseases, has also been demonstrated, thus making Fyn an attractive target for the discovery of potential novel therapeutics for brain pathologies and tumors. In this study we evaluated the reliability of various screening approaches based on the FLAP software. By the application of the best procedure, the virtual screening workflow was used to filter the Gold and Platinum database from Asinex to identify new Fyn inhibitors. Enzymatic assays revealed that among the eight top-scoring compounds five proved to efficiently inhibit Fyn activity with IC50 values in the micromolar range. These results demonstrate the validity of the methodologies we followed. Furthermore, the five active compounds herein described may be considered as interesting leads for the development of new and more efficient Fyn inhibitors.

Development of terphenyl-2-methyloxazol-5(4H)-one derivatives as selective reversible MAGL inhibitors

Abstract Monoacylglycerol lipase is a serine hydrolase that plays a major role in the degradation of the endocannabinoid neurotransmitter 2-arachidonoylglycerol. A wide number of MAGL inhibitors are reported in literature; however, many of them are characterised by an irreversible mechanism of action and this behavior determines an unwanted chronic MAGL inactivation, which acquires a functional antagonism of the endocannabinoid system. The possible use of reversible MAGL inhibitors has only recently been explored, due to the lack of known compounds possessing efficient reversible inhibitory activities. In this work, we report a new series of terphenyl-2-methyloxazol-5(4H)-one derivatives characterised by a reversible MAGL-inhibition mechanism. Among them, compound 20b showed to be a potent MAGL reversible inhibitor (IC50 = 348 nM) with a good MAGL/FAAH selectivity. Furthermore, this compound showed antiproliferative activities against two different cancer cell lines that overexpress MAGL.

Identification of a new STAT3 dimerization inhibitor through a pharmacophore-based virtual screening approach

Abstract Signal transducer and activator of transcription 3 (STAT3) plays an essential role in cell growth regulation and survival. An aberrant STAT3 activation and/or expression is implied in various solid and blood tumors as well as in other pathologies like rheumatoid arthritis and pulmonary fibrosis, thus making the search for STAT3 inhibitors a growing field of study. With the aim of identifying new inhibitors of STAT3 dimerization, we screened a database including more than 1 320 000 commercially available compounds using a receptor-based pharmacophore model comprising the key protein–protein interactions identified in the STAT3 dimer and refining the search through docking and molecular dynamic simulations studies. STAT3 binding assays revealed a significant STAT3 inhibitory activity and selectivity versus Grb2 for one of the four top-scored compounds, thus verifying the reliability of the virtual screening workflow. Moreover, such compound could already be considered as a lead for the development of new and more potent STAT3 dimerization inhibitors.

Synthesis and structure activity relationship investigation of triazolo[1,5-a]pyrimidines as CB2 cannabinoid receptor inverse agonists

CB2 cannabinoid receptor ligands are known to be therapeutically important for the treatment of numerous diseases. Recently, we have identified the heteroaryl-4-oxopyridine/7-oxopyrimidine derivatives as highly potent and selective CB2 receptor ligands, showing that the pharmakodynamics of the new compounds was controlled by the nature of the heterocycle core. In this paper we describe the synthesis and biological evaluation of 7-oxo-4-pentyl-4,7-dihydro-[1,2,4]triazolo[1,5-a]pyrimidine-6-carboxamide derivatives that led to the identification of novel CB2 receptor inverse agonists. Cyclic AMP experiments on CB2 receptors expressed in CHO cells revealed that introduction of structural modifications at position 2 of triazolopyrimidine template changes the functional activity from partial to inverse agonism. The molecular docking analysis of the novel structures is reported.

Receptor-based virtual screening evaluation for the identification of estrogen receptor β ligands.

Abstract In this paper, a receptor-based virtual screening study for the identification of estrogen receptor β (ERβ) ligands was developed. Starting from a commercial database of 400 000 molecules, only six compounds resulted to be potential active ligands of ERβ. Interestingly, all the six molecules possess scaffolds that had already been reported in known ERβ ligands. Therefore, the results obtained herein confirm the reliability of our virtual screening procedure, thus encouraging the application of this protocol to larger commercial databases in order to identify new ERβ ligands.

Polypharmacological profile of 1,2-dihydro-2-oxo-pyridine-3-carboxamides in the endocannabinoid system

The endocannabinoid system (ECS) represents one of the major neuromodulatory systems involved in different physiological and pathological processes. Multi-target compounds exert their activities by acting via multiple mechanisms of action and represent a promising pharmacological modulation of the ECS. In this work we report 4-substituted and 4,5-disubstituted 1,2-dihydro-2-oxo-pyridine-3-carboxamide derivatives with a broad spectrum of affinity and functional activity towards both cannabinoid receptors and additional effects on the main components of the ECS. In particular compound B3 showed high affinity for CB1R (Ki = 23.1 nM, partial agonist) and CB2R (Ki = 6.9 nM, inverse agonist) and also significant inhibitory activity (IC50 = 70 nM) on FAAH with moderate inhibition of ABHD12 (IC50 = 2.5 μΜ). Compounds B4, B5 and B6 that act as full agonists at CB1R and as partial agonists (B5 and B6) or antagonist (B4) at CB2R, exhibited an additional multi-target property by inhibiting anandamide uptake with sub-micromolar IC50 values (0.28-0.62 μΜ). The best derivatives showed cytotoxic activity on U937 lymphoblastoid cells. Finally, molecular docking analysis carried out on the three-dimensional structures of CB1R and CB2R and of FAAH allowed to rationalize the structure-activity relationships of this series of compounds.

A Virtual Screening Study for Lactate Dehydrogenase 5 Inhibitors by using a Pharmacophore-Based Approach

Inhibitors of human lactate dehydrogenase 5 (hLDH5) are promising therapeutic agents against cancer. This enzyme is generally found to be overexpressed in most invasive cancer cells and is linked to their vitality especially under hypoxic conditions. In this study, with the aim of identifying new hLDH5 inhibitors, a receptor‐based pharmacophore modeling approach has been tested and, in order to verify the reliability of the reported approach, the Gold and Platinum database from Asinex were filtered. The top‐ranked compounds were experimentally tested for their hLDH5 inhibition activity and enzymatic assays revealed that, among the ten selected compounds, two proved to inhibit the enzyme activity with Ki values in the micromolar range (Ki=33.1–76.7 μM).