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An increasingly comprehension of the folding intermediate states of DNA G-quadruplexes (G4s) is currently an important scientific challenge, especially for the human telomeric (h-tel) G4s-forming sequences, characterized by a highly polymorphic nature. Despite the G-triplex conformation was proposed as one of the possible folding intermediates for the antiparallel and hybrid h-tel G4s, for the parallel h-tel topology with an all-anti guanine orientation, a vertical strand-slippage involving the G-triplets was proposed in previous works through microseconds-long standard molecular dynamics simulations (MDs). Here, in order to get further insights into the vertical strand-slippage and the folding intermediate states of the parallel h-tel G4s, we have carried out a Well-Tempered Metadynamics simulation (WT-MetaD), which allowed us to retrieve an ensemble of six G4s having two/G-tetrad conformations derived by the G-triplets vertical slippage. The insights highlighted in this work are aimed at rationalizing the mechanistic characterisation of the parallel h-tel G4 folding process.

Although science and technology have progressed rapidly, de novo drug development has been a costly and time-consuming process over the past decades. In this scenario, drug repurposing has appeared as an alternative tool to accelerate the drug development process. Herein, we applied such an approach to the highly popular human Carbonic Anhydrase (hCA) VA drug target, that is involved in ureagenesis, gluconeogenesis, lipogenesis, and in the metabolism regulation. Albeit several hCA inhibitors have been designed and are currently in clinical use, serious drug interactions have been reported due to their poor selectivity. In this perspective, the drug repurposing approach could be a useful tool for investigating the drug promiscuity/polypharmacology profile. In this chapter, we describe a combination of virtual screening techniques and in vitro assays aimed to identify novel selective hCA VA inhibitors and to repurpose drugs known for other clinical indications.

Although science and technology have progressed rapidly, de novo drug development has been a costly and time-consuming process over the past decades. In this scenario, drug repurposing has appeared as an alternative tool to accelerate the drug development process. Herein, we applied such an approach to the highly popular human Carbonic Anhydrase (hCA) VA drug target, that is involved in ureagenesis, gluconeogenesis, lipogenesis, and in the metabolism regulation. Albeit several hCA inhibitors have been designed and are currently in clinical use, serious drug interactions have been reported due to their poor selectivity. In this perspective, the drug repurposing approach could be a useful tool for investigating the drug promiscuity/polypharmacology profile. In this chapter, we describe a combination of virtual screening techniques and in vitro assays aimed to identify novel selective hCA VA inhibitors and to repurpose drugs known for other clinical indications.

Objectives To define key genetic elements, single or in clusters, underlying SARS-CoV-2 (severe acute respiratory syndrome coronavirus-2) evolutionary diversification across continents, and their impact on drug-binding affinity and viral antigenicity. Methods A total of 12 150 SARS-CoV-2 sequences (publicly available) from 69 countries were analysed. Mutational clusters were assessed by hierarchical clustering. Structure-based virtual screening (SBVS) was used to select the best inhibitors of 3-chymotrypsin-like protease (3CL-Pr) and RNA-dependent RNA polymerase (RdRp) among the FDA-approved drugs and to evaluate the impact of mutations on binding affinity of these drugs. The impact of mutations on epitope recognition was predicted following Grifoni et al. (Cell Host Microbe 2020; 27 671–80.) Results Thirty-five key mutations were identified (prevalence: ≥0.5%), residing in different viral proteins. Sixteen out of 35 formed tight clusters involving multiple SARS-CoV-2 proteins, highlighting intergenic co-evolution. Some clusters (including D614GSpike + P323LRdRp + R203KN + G204RN) occurred in all continents, while others showed a geographically restricted circulation (T1198KPL-Pr + P13LN + A97VRdRp in Asia, L84SORF-8 + S197LN in Europe, Y541CHel + H504CHel + L84SORF-8 in America and Oceania). SBVS identified 20 best RdRp inhibitors and 21 best 3CL-Pr inhibitors belonging to different drug classes. Notably, mutations in RdRp or 3CL-Pr modulate, positively or negatively, the binding affinity of these drugs. Among them, P323LRdRp (prevalence: 61.9%) reduced the binding affinity of specific compounds including remdesivir while it increased the binding affinity of the purine analogues penciclovir and tenofovir, suggesting potential hypersusceptibility. Finally, specific mutations (including Y541CHel + H504CHel) strongly hampered recognition of Class I/II epitopes, while D614GSpike profoundly altered the structural stability of a recently identified B cell epitope target of neutralizing antibodies (amino acids 592–620). Conclusions Key genetic elements reflect geographically dependent SARS-CoV-2 genetic adaptation, and may play a potential role in modulating drug susceptibility and hampering viral antigenicity. Thus, a close monitoring of SARS-CoV-2 mutational patterns is crucial to ensure the effectiveness of treatments and vaccines worldwide.

Coronaviridae is a peculiar viral family, with a very large RNA genome and characteristic appearance, endowed with remarkable tendency to transfer from animals to humans. Since the beginning of the 21st century, three highly transmissible and pathogenic coronaviruses have crossed the species barrier and caused deadly pneumonia, inflicting severe outbreaks and causing human health emergencies of inconceivable magnitude. Indeed, in the past two decades, two human coronaviruses emerged causing serious respiratory illness: severe acute respiratory syndrome coronavirus (SARS-CoV-1) and Middle Eastern respiratory syndrome coronavirus (MERS-CoV), causing more than 10,000 cumulative cases, with mortality rates of 10 % for SARS-CoV-1 and 34.4 % for MERS-CoV. More recently, the severe acute respiratory syndrome coronavirus virus 2 (SARS-CoV-2) has emerged in China and has been identified as the etiological agent of the recent COVID-19 pandemic outbreak. It has rapidly spread throughout the world, causing nearly 22 million cases and ∼ 770,000 deaths worldwide, with an estimated mortality rate of ∼3.6 %, hence posing serious challenges for adequate and effective prevention and treatment. Currently, with the exception of the nucleotide analogue prodrug remdesivir, and despite several efforts, there is no known specific, proven, pharmacological treatment capable of efficiently and rapidly inducing viral containment and clearance of SARS-CoV-2 infection as well as no broad-spectrum drug for other human pathogenic coronaviruses. Another confounding factor is the paucity of molecular information regarding the tendency of coronaviruses to acquire drug resistance, a gap that should be filled in order to optimize the efficacy of antiviral drugs. In this light, the present review provides a systematic update on the current knowledge of the marked global efforts towards the development of antiviral strategies aimed at coping with the infection sustained by SARS-CoV-2 and other human pathogenic coronaviruses, displaying drug resistance profiles. The attention has been focused on antiviral drugs mainly targeting viral protease, RNA polymerase and spike glycoprotein, that have been tested in vitro and/or in clinical trials as well as on promising compounds proven to be active against coronaviruses by an in silico drug repurposing approach. In this respect, novel insights on compounds, identified by structure-based virtual screening on the DrugBank database endowed by multi-targeting profile, are also reported. We specifically identified 14 promising compounds characterized by a good in silico binding affinity towards, at least, two of the four studied targets (viral and host proteins). Among which, ceftolozane and NADH showed the best multi-targeting profile, thus potentially reducing the emergence of resistant virus strains. We also focused on potentially novel pharmacological targets for the development of compounds with anti-pan coronavirus activity. Through the analysis of a large set of viral genomic sequences, the current review provides a comprehensive and specific map of conserved regions across human coronavirus proteins which are essential for virus replication and thus with no or very limited tendency to mutate. Hence, these represent key druggable targets for novel compounds against this virus family. In this respect, the identification of highly effective and innovative pharmacological strategies is of paramount importance for the treatment and/or prophylaxis of the current pandemic but potentially also for future and unavoidable outbreaks of human pathogenic coronaviruses.

The tumor-associated isoenzymes hCA IX and hCA XII catalyze the hydration of carbon dioxide to bicarbonate and protons. These isoforms are highly overexpressed in many types of cancer, where they contribute to the acidification of the tumor environment, promoting tumor cell invasion and metastasis. In this work, in order to identify novel dual hCA IX and XII inhibitors, virtual screening techniques and biological assays were combined. A structure-based virtual screening towards hCA IX and XII was performed using a database of approximately 26,000 natural compounds. The best shared hits were submitted to a thermodynamic analysis and three promising best hits were identified and evaluated in terms of their hCA IX and XII inhibitor activity. In vitro biological assays were in line with the theoretical studies and revealed that syringin, lithospermic acid, and (-)-dehydrodiconiferyl alcohol behave as good hCA IX and hCA XII dual inhibitors.

The pyridostatin (PDS) represents the lead compound of a family of G-quadruplex (G4) stabilizing synthetic small molecules based on a N,N'-bis(quinolinyl)pyridine-2,6-dicarboxamide scaffold. Its mechanism of action involves the induction of telomere dysfunction by competing for binding with telomere-associated proteins, such as human POT1. Recently, through a template-directed "in situ" click chemistry approach, a PDS derivative, the carboxypyridostatin (cPDS), was discovered. It has the peculiarity to exhibit high molecular specificity for RNA over DNA G4, while PDS is a good generic RNA and DNA G4-interacting small molecule. Structural data on the binding modes of these compounds are not available, and the selectivity mode of cPDS toward TERRA G4 is unknown too. Therefore, this work is aimed at rationalizing the selectivity of cPDS versus TERRA G4 by means of molecular dynamics and docking simulations, coupled to better understand the binding mode of these compounds to telomeric G4 structures. The comprehensive analysis of cPDS binding mode and its conformational behavior demonstrates the importance of the ligand conformation properties coupled with a remarkable solvation contribution. This work is expected to provide valuable clues for further rational design of novel and selective TERRA G4 binders.

Essential oils (EOs) are popular in aromatherapy, a branch of alternative medicine that claims their curative effects. Moreover, several studies reported EOs as potential anti-cancer agents by inducing apoptosis in different cancer cell models. In this study, we have considered EOs as a potential resource of new kinase inhibitors with a polypharmacological profile. On the other hand, computational methods offer the possibility to predict the theoretical activity profile of ligands, discovering dangerous off-targets and/or synergistic effects due to the potential multi-target action. With this aim, we performed a Structure-Based Virtual Screening (SBVS) against X-ray models of several protein kinases selected from the Protein Data Bank (PDB) by using a chemoinformatics database of EOs. By evaluating theoretical binding affinity, 13 molecules were detected among EOs as new potential kinase inhibitors with a multi-target profile. The two compounds with higher percentages in the EOs were studied more in depth by means Induced Fit Docking (IFD) protocol, in order to better predict their binding modes taking into account also structural changes in the receptor. Finally, given its good binding affinity towards five different kinases, cinnamyl cinnamate was biologically tested on different cell lines with the aim to verify the antiproliferative activity. Thus, this work represents a starting point for the optimization of the most promising EOs structure as kinase inhibitors with multi-target features.

The human Carbonic anhydrases (hCA) VA and VB play a key role in ureagenesis, gluconeogenesis, lipogenesis and in the metabolism regulation, thus representing highly popular drug targets. Albeit several hCA inhibitors have been designed and are currently in clinical use, serious drug interactions have been reported due to their poor selectivity. In this perspective, the drug repurposing approach could be a useful tool in order to investigate the drug promiscuity/polypharmacology profile. In this study, virtual screening techniques and in vitro assays were combined to identify novel selective hCA VA inhibitors from among around 94000 compounds. The docking analysis highlighted 12 promising best hits, biologically characterized in terms of their hCA VA inhibitory activity. Interestingly, among them, the anticancer agents fludarabine and lenvatinib and the antiepileptic rufinamide were able to selectively inhibit the enzyme activity in the micromolar range, while a pyrido-indole derivative, the homovanillic acid sulfate and the desacetyl metabolite of the antibacterial cephapirin in the nanomolar range.

This paper focuses on advanced computational techniques for identifying and optimizing lead molecules, such as metadynamics and a novel dynamic 3D pharmacophore analysis method called Dynophores. In this paper, the first application of the funnel metadynamics of the Berberine binding to G-quadruplex DNA is depicted, disclosing hints for drug design, in particular clarifying water’s role and suggesting the design of derivatives able to replace the solvent-mediated interactions between ligand and DNA to achieve more potent and selective activity. Secondly, the novel dynamic pharmacophore approach is an extension of the classic 3D pharmacophores, with statistical and sequential information about the conformational flexibility of a molecular system derived from molecular dynamics (MD) simulations.

Multiple myeloma (MM) is an incurable hematological malignancy driven by several genetic and epigenetic alterations. The hyperactivation of the Polycomb repressive complex 2 (PRC2), a multi-subunit oncogenic histone methyltransferase, has been implicated in the pathogenesis of this malignancy. Upon protein-protein interaction (PPI) between the catalytic subunit EZH2 and EED, PRC2 primarily methylates lysine 27 of histone H3 (H3K27me3), thus modulating the chromatin structure and inducing transcriptional repression. Herein, we highlight a new mechanism of action that can contribute to explain the anti-tumor activity of hydroxychloroquine (HCQ), an anti-malaric agent also known as autophagy inhibitor. By structural studies, we demonstrate that HCQ inhibits the allosteric binding of PRC2 to EED within the H3K27me3-binding pocket, thus antagonizing the PRC2 catalytic activity. In silico results are compatible with the significant reduction of the H3K27me3 levels in MM cells exerted by HCQ. Overall, these findings disclose a novel epigenetic activity of HCQ with potential implications for its clinical repositioning.

The impact of baseline HIV-1 reverse transcriptase (RT) polymorphisms on response to first-line modern HAART containing tenofovir disoproxil fumarate (TDF) and emtricitabine (FTC) was evaluated. The impact of each RT polymorphism on virological success (VS) was evaluated in 604 HIV-1 subtype B-infected patients starting TDF+FTC-containing HAART. TDF and FTC antiviral activity was also tested in PBMCs infected by mutagenised HIV. Structural analysis based on docking simulations was performed. A98S was the only mutation significantly correlated with an increased proportion of patients achieving VS at 24 weeks (94.0% vs. 84.3%; P=0.03). Multivariate regression and Cox model analyses confirmed this result. At concentrations close to the minimal concentration achieved in patient plasma, TDF and FTC exhibited higher potency in the presence of A98S-mutated virus compared with wild-type (IC90,TDF, 8.6±1.1 vs. 19.3±3.5nM; and IC90,FTC, 12.4±7.7 vs. 16.8±9.8nM, respectively). The efficacy of FTC, abrogated by M184V, was partially restored by A98S (IC90,FTC, 5169±5931nM for A98S+M184V vs. 18477±12478nM for M184V alone). Docking analysis showed the higher potency of TDF and FTC in the presence of A98S-mutated virus was mainly due to higher binding affinity between drugs and mutated RT compared with wild-type. In the presence of FTC, A98S also partially restored the RT binding affinity impaired by M184V alone. A98S polymorphism improves virological response to TDF+FTC-containing HAART. This may help clinicians in the choice of the optimal NRTI backbone aimed at achieving maximal virological inhibition.

Polyphenols are compounds ubiquitously expressed in plants and used for their multiple healthy effects in humans as anti-inflammatory, antimicrobial, antiviral, anticancer and immunomodulatory agents. Due to their ability to modulate the activity of multiple targets involved in carcinogenesis, polyphenols can be employed to inhibit the growth of cancer cells. Several studies reported their high affinity to different G-quadruplex DNA structures, including the oncogene promoters c-myc and bcl-2. In this work we applied a structure-based virtual screening approach in order to screen a database of polyphenolic derivatives and human metabolites against both c-myc and bcl-2 DNA G-quadruplex structures. A Delphinidine derivative was identified as the best "dual" candidate and, after molecular dynamics simulations, resulted able to well stabilize both receptors.

This chapter focuses on computational techniques for identifying and optimizing lead molecules, with a special emphasis on natural compounds. A number of case studies have been specifically discussed, such as the case of the naphthyridine scaffold, discovered through a structure-based virtual screening (SBVS) and proposed as the starting point for further lead optimization process, to enhance its telomeric RNA selectivity. Another example is the case of Liphagal, a tetracyclic meroterpenoid extracted fromAka coralliphaga, known as PI3Kα inhibitor, provide an evidence for the design of new active congeners against PI3Kα using molecular dynamics (MD) simulations. These are only two of the numerous examples of the computational techniques’ powerful in drug design and drug discovery fields. Finally, the design of drugs that can simultaneously interact with multiple targets as a promising approach for treating complicated diseases has been reported. An example of polypharmacological agents are the compounds extracted from mushrooms identified by means of molecular docking experiments. This chapter may be a useful manual of molecular modeling techniques used in the lead-optimization and lead identification processes.

It is well recognized that the non-canonical DNA structures known as G-quadruplexes (G4s) have a potential anticancer significance and several compounds have been discovered and evaluated as promising G4 binders with anticancer activity. Here, starting from a promising hit with an indolo-naphthyridine scaffold, a small series of five indolo-naphthyridine based derivatives have been designed and evaluated as G4-targeting compounds. FRET biophysical studies were performed on multiple DNA G4 structures, leading to the identification of a multi-target G4 stabilizer with a slight preference for the c-KIT1 and a good G4 over duplex selectivity. The good affinity of this compound against c-KIT1 G4 was also confirmed by SPR and MST experiments, while biological assays revealed its cytotoxic activity on tumour cells. Finally, Molecular Dynamics simulations helped to elucidate the stabilization effect of the selected compound against the c-KIT1 G4.

In this work we report a parallel application of both docking- and shape-based virtual screening (VS) methods, followed by Molecular Dynamics simulations (MDs), for discovering new compounds able to inhibit the human immunodeficiency virus type 1 (HIV-1) reverse transcriptase (RT) RNA-dependent DNA polymerase activity. Specifically, we screened more than 143000 natural compounds commercially available in the ZINC database against the best five RT crystallographic models, taking into account the five approved NNRTIs as query compounds. As a result, 20 hit molecules were selected and tested on biochemical assays for the inhibition of the RNA dependent DNA polymerase RT function and, among them, an indoline pyrrolidine (hit1), an indonyl piperazine (hit2) and an indolyl indolinone (hit3) derivatives were identified as novel non-nucleoside RT inhibitors in the low micromolar range.

Mutations at HIV-1 reverse transcriptase (RT) codon 184 such as M184V confer resistance to two nucleos(t)ide RT inhibitors (NRTI), lamivudine (3TC) and emtricitabine (FTC). The prevalence of mutations at HIV-1 RT codon 184 was evaluated using three independent RT sequence databases from treatment-experienced (TE) and treatment-naïve (TN) individuals. Data were collected retrospectively from three centers: one in Italy and two in France between 1997 and 2016. In order to highlight the role of these mutations in conferring drug resistance, structural and thermodynamic analyses were conducted by means of computational approaches. Among 32,440 RT sequences isolated from TE and 12,365 isolated from TN patients, the prevalence of HIV-1 RT codon 184 substitutions in each group was 31.21% and 0.72%, respectively. The mutations M184L and M184T have been observed only in TE patients. In all cases but four, M184L and M184T mutations were present during NRTI treatment. Molecular recognition studies on M184L and M184T structures showed both FTC and 3TC thermodynamic profiles unfavorable in comparison with the wild-type sequence, corroborated by molecular dynamic simulations (MDS). In this study, we highlighted two new resistance mutations in vivo for NRTI resistance. The low frequency of this pathway can be related to high impairment of replicative capacity mediated by these mutations.

[Image: see text] In the last years, it has been shown that the DNA secondary structure known as G-quadruplex is also involved in the regulation of oncogenes transcription, such as c-myc, c-Kit, KRAS, Bcl-2, VEGF, and PDGF. DNA G-quadruplexes, formed in the promoter region of these proto-oncogenes, are considered alternative anticancer targets since their stabilization causes a reduction of the related oncoprotein overexpression. In this study, a structure-based virtual screening toward the experimental DNA G-quadruplex structures of c-myc and c-Kit was performed by using Glide for the docking analysis of a commercial library of approximately 693 000 compounds. The best hits were submitted to thermodynamic and biophysical studies, highlighting the effective stabilization of both G-quadruplex oncogene promoter structures for three N-(4-piperidinylmethyl)amine derivatives, thus proposed as a new class of dual G-quadruplex binders.

Incomplete APOBEC3G/F neutralization by a defective HIV-1Vif protein can promote genetic diversification by inducing G-to-A mutations in the HIV-1 genome. The HIV-1 Env V3 loop, critical for coreceptor usage, contains several putative APOBEC3G/F target sites. Here, we determined if APOBEC3G/F, in the presence of Vif-defective HIV-1 virus, can induce G-to-A mutations at V3 positions critical to modulation of CXCR4 usage. Peripheral blood mononuclear cells (PBMC) and monocyte-derived macrophages (MDM) from 2 HIV-1-negative donors were infected with CCR5-using 81.A-Vif WT virus (i.e., with wild-type [WT] Vif protein), 81.A-Vif E45G , or 81.A-Vif K22E (known to incompletely/partially neutralize APOBEC3G/F). The rate of G-toA mutations was zero or extremely low in 81.A-Vif WT - and 81.A-Vif E45G -infected PBMC from both donors. Conversely, G-to-A enrichment was detected in 81.A-Vif K22E -infected PBMC (prevalence ranging from 2.18% at 7 days postinfection [dpi] to 3.07% at 21 dpi in donor 1 and from 10.49% at 7 dpi to 8.69% at 21 dpi in donor 2). A similar scenario was found in MDM. G-to-A mutations occurred at 8 V3 positions, resulting in nonsynonymous amino acid substitutions. Of them, G24E and E25K strongly correlated with phenotypically/genotypically defined CXCR4-using viruses ( P = 0.04 and 5.5e−7, respectively) and increased the CXCR4 N-terminal binding affinity for V3 (WT, −40.1 kcal/mol; G24E, −510 kcal/mol; E25K, −522 kcal/mol). The analysis of paired V3 and Vif DNA sequences from 84 HIV-1-infected patients showed that the presence of a Vif-defective virus correlated with CXCR4 usage in proviral DNA ( P = 0.04). In conclusion, incomplete APOBEC3G/F neutralization by a single Vif amino acid substitution seeds a CXCR4-using proviral reservoir. This can have implications for the success of CCR5 antagonist-based therapy, as well as for the risk of disease progression.

We report a real-life 3D therapy failure in a patient treated with ombitasvir (OMV)/paritaprevir/ritonavir and dasabuvir without ribavirin (3D-R). He had therapy failure at week 12 after the end of treatment. We detected resistance-associated substitutions (RASs) plus polymorphisms on NS3, NS5A, and NS5B target regions by population sequencing (15% cut-off) at baseline, at relapse and during follow-up. About this, NS5A RASs generally persist longer than resistances in the other target genes and may impact treatment outcome. Therefore, to evaluate OMV drug-resistance mechanism, we studied the acquired RAS plus polymorphisms on NS5A phosphoprotein by computational studies. OMV showed a higher affinity towards baseline and 93H/108 K mutant structure (follow-up) with respect to 93H/R108 mutant structure (relapse) on phosphoprotein. By Molecular Dynamics simulations (MDs), structural information about the protein stability in presence of OMV were observed. According to our data, molecular modeling approach has proved to be a powerful method to evaluate the impact of these RASs plus specific amino acid (AA) changes on phosphoprotein.

Alteration of nutritional habits play an essential role on the risk of developing Metabolic Syndrome (MetS). Several epidemiological studies have shown that assuming diets rich of foods included in the Mediterranean diet (MetDiet) pattern like, such as olive oil, nuts, fruit, fiber, vegetables, wine and grain cereals has protective effects on the different risk factors characterizing the MetS. The beneficial effects of the MetDiet in the MetS are mainly due to the antioxidant and anti-inflammatory properties of the most abundant phytochemical components of such foods as polyphenols like resveratrol and oleuropein, allyl sulfides, ellagic acid, mono- and poly-unsaturated fatty acids (MUFA and PUFA), tocopherols and flavonoids like quercetin, which have shown positive results in the prevention of cardiovascular diseases (CVDs), with related risk factors, like hypertension, hypercholesterolemia and obesity. In this review, we highlighted the multi-target activities of the bioactive components contained in some foods typical of the Mediterranean area like olive oil, onion, liquorice, rosemary, oregano, hazelnut, pistachio, "Melannurca" apple, red wine, hot pepper, Citrus sp. fruits, saffron and garlic, with particular focus on their impact on health outcomes in relation to MetS main key factors, such as insulin resistance (IR) and type 2 diabetes mellitus (T2DM), endothelial dysfunctions, inflammatory response, oxidative stress and dyslipidaemic and hypercholesterolemic effects.

OBJECTIVES: The possibility of replacing raltegravir or elvitegravir with dolutegravir in heavily treatment-experienced patients failing on raltegravir/elvitegravir has been evaluated in VIKING trials. All studied patients failed by the most common pathways, Y143, Q148 and N155, and dolutegravir demonstrated efficacy except for Q148 viruses. The aim of this study was to explore, in the same way, the behaviour of dolutegravir in comparison with raltegravir and elvitegravir against the atypical resistance integrase profiles, G118R and F121Y, described in HIV-1 patients failing on raltegravir therapy. METHODS: The behaviour of integrases with mutations G118R and F121Y towards raltegravir, elvitegravir and dolutegravir was analysed by evaluating phenotypic susceptibility and by means of in silico techniques (investigating binding affinities and the stabilization of the inhibitors in terms of their hydrogen bond network). RESULTS: The phenotypic analysis of G118R and F121Y showed high resistance to raltegravir, elvitegravir and dolutegravir with a fold change >100 when the clinically derived integrase was used, and resistance was also seen when mutations were tested alone in an NL43 backbone, but more often with a lower fold change. In silico, results showed that G118R and F121Y enzymes were associated with reduced binding affinities to each of the inhibitors and with a decreased number of hydrogen bonds compared with the wild-type complexes. CONCLUSIONS: This study showed that G118R and F121Y mutations, rarely described in patients failing on raltegravir, induced broad cross-resistance to all currently used integrase inhibitors. These results are in accordance with our thermodynamic and geometric analysis indicating decreased stability compared with the wild-type complexes.

Among the proteins putatively interacting with PTPRJ, a tyrosine phosphatase with tumor suppressor activity, we focused on the oncoprotein CD98hc as a very interesting candidate for the development of innovative targeted drugs. In fact, CD98hc, representing the heavy chain of a transmembrane aminoacid transporter, is overexpressed in several human cancers. Furthermore, CD98hc higher expression is associated with poor prognosis in lung cancer patients. CD98hc is linked to light chains (LATs, xCT) by disulfide bridge, polar and hydrophobic interactions. The light chain confers substrate specificity, and ERK, AKT, FAK and mTOR pathways are involved in CD98hc-LATs/xCT downstream signals. Moreover, CD98hc is a coreceptor of b-integrins and it is involved in cell proliferation, migration and invasion. We identified two peptides and 15 small molecules (putatively targeting the disulfide bridge) as candidate CD98hc inhibitors by phage display and in silico screenings, respectively, and validated in vitro the binding between peptides and transmembrane fraction of CD98hc by cytofluorimetric assay. Then, we tested the capability of both types of compounds to affect cell viability and proliferation through MTT and CFSE assays, respectively. We observed that the targeting of CD98hc through both peptides and small molecules reduced cell proliferation in A549 human lung cancer cells, strongly encouraging a deeper characterization of these candidate anticancer molecules. Indeed, our next goals will be the assessment of biochemical activity of CD98hc following to its inhibition, as well as the evaluation of compounds toxicity, both in vitro and in vivo. The final aim is to identify lead compounds inhibiting CD98hc, in order to develop novel molecules to be translated in the clinical setting and to be used as monotherapy and/or in a combinatorial approaches for the treatment of cancer patients. Citation Format: Delia Lanzillotta, Enrico Iaccino, Anna Artese, Selena Mimmi, Sabrina D'Agostino, Isabella Romeo, Patrizia Cantafio, Vincenzo Dattilo, Giosuè Costa, Carolina Brescia, Eugenio Gaudio, Stefano Alcaro, Francesco Trapasso. The CD98hc oncoprotein as a target of new anticancer therapy [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics; 2019 Oct 26-30; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2019;18(12 Suppl):Abstract nr B122. doi:10.1158/1535-7163.TARG-19-B122

Many bioactive agents have been extracted from plants or belong to functional foods and have been considered in the treatment of serious and multifactorial diseases, such as cancer. In particular, this review is focused on the anti-cancer properties owned by several natural products typically from the Mediterranean area. In some regions of the South of Italy, a lower cancer incidence has been observed. There is increasing evidence that adherence to a Mediterranean dietary pattern correlates with reduced risk of several cancer types. This could be mainly attributed to the typical lifestyle aspects of the Mediterranean diet, such as high consumption of fruit and vegetables. In this review, the main natural products of the Mediterranean area are discussed, with particular attention on their anti-cancer properties endowed with multi-target profiles.