Search

Autophagy is an evolutionarily conserved process critical in maintaining cellular homeostasis. Recently, the anticancer potential of autophagy inducers, including phytochemicals, was suggested. Indicaxanthin is a betalain pigment found in prickly pear fruit with antiproliferative and pro-apoptotic activities in colorectal cancer cells associated with epigenetic changes in selected methylation-silenced oncosuppressor genes. Here, we demonstrate that indicaxanthin induces the up-regulation of the autophagic markers LC3-II and Beclin1, and increases autophagolysosome production in Caco-2 cells. Methylomic studies showed that the indicaxanthin-induced pro-autophagic activity was associated with epigenetic changes. In addition to acting as a hypermethylating agent at the genomic level, indicaxanthin also induced significant differential methylation in 39 out of 47 autophagy-related genes, particularly those involved in the late stages of autophagy. Furthermore, in silico molecular modelling studies suggested a direct interaction of indicaxanthin with Bcl-2, which, in turn, influenced the function of Beclin1, a key autophagy regulator. External effectors, including food components, may modulate the epigenetic signature of cancer cells. This study demonstrates, for the first time, the pro-autophagic potential of indicaxanthin in human colorectal cancer cells associated with epigenetic changes and contributes to outlining its potential healthy effect in the pathophysiology of the gastrointestinal tract.

The viral main protease is one of the most attractive targets among all key enzymes involved in the life cycle of SARS-CoV-2. Considering its mechanism of action, both the catalytic and dimerization regions could represent crucial sites for modulating its activity. Dual-binding the SARS-CoV-2 main protease inhibitors could arrest the replication process of the virus by simultaneously preventing dimerization and proteolytic activity. To this aim, in the present work, we identified two series' of small molecules with a significant affinity for SARS-CoV-2 M PRO , by a hybrid virtual screening protocol, combining ligand- and structure-based approaches with multivariate statistical analysis. The Biotarget Predictor Tool was used to filter a large in-house structural database and select a set of benzo[ b ]thiophene and benzo[ b ]furan derivatives. ADME properties were investigated, and induced fit docking studies were performed to confirm the DRUDIT prediction. Principal component analysis and docking protocol at the SARS-CoV-2 M PRO dimerization site enable the identification of compounds 1b , c , i , l and 2i , l as promising drug molecules, showing favorable dual binding site affinity on SARS-CoV-2 M PRO .

The viral main protease is one of the most attractive targets among all key enzymes involved in the SARS-CoV-2 life cycle. Covalent inhibition of the cysteine 145 of SARS-CoV-2 M PRO with selective antiviral drugs will arrest the replication process of the virus without affecting human catalytic pathways. In this Perspective, we analyzed the in silico, in vitro, and in vivo data of the most representative examples of covalent SARS-CoV-2 M PRO inhibitors reported in the literature to date. In particular, the studied molecules were classified into eight different categories according to their reactive electrophilic warheads, highlighting the differences between their reversible/irreversible mechanism of inhibition. Furthermore, the analyses of the most recurrent pharmacophoric moieties and stereochemistry of chiral carbons were reported. The analyses of noncovalent and covalent in silico protocols, provided in this Perspective, would be useful for the scientific community to discover new and more efficient covalent SARS-CoV-2 M PRO inhibitors.

In the context of the contemporary research on sustainable development and circular economy, the quest for effective strategies aimed at revaluation of waste and by-products generated in industrial and agricultural production becomes important. In this work, an ethanolic extract from red raspberry ( Rubus idaeus ) seed waste (WRSP) was evaluated for its phytochemical composition and functional properties in term of antioxidative, antiproliferative, and antimicrobial activities. Chemical composition of the extract was determined by both HPLC-ESI-MS/MS and spectrophotometric methods. Phytochemical analysis revealed that flavan-3-ols and flavonols were the major phenolic compounds contained in WRSP. The extract demonstrated very high radical-scavenging (4.86 ± 0.06 µmol TE/DW) and antioxidant activity in a cell-based model (0.178 ± 0.03 mg DW/mL cell medium). The WRSP extract also exhibited antiproliferative activity against three different epithelial cancer cell lines (MCF-7, HepG2, and HeLa cells) in a dose-dependent manner. Finally, microbiological assays showed the absence of colonies of bacteria and microscopic fungi (yeasts and molds) and revealed that the WRSP extract has a large inhibition spectrum against spoilage and pathogenic bacteria, without inhibitory activity against pro-technological bacteria. In conclusion, the obtained results show that WRSP is a rich source of phytochemical compounds exerting interesting biological activities. For these reasons WRSP could find applications in the nutritional, nutraceutical, and pharmacological fields.

Matching biological data sequences is one of the most interesting ways to discover new bioactive compounds. In particular, matching cell chemosensitivity with a protein expression profile can be a useful approach to predict the activity of compounds against definite biological targets. In this review, we discuss this correlation. First, we analyze case studies in which some known drugs, acting on known targets, show a good correlation between their antiproliferative activities and protein expression when a large panel of tumor cells is considered. Then, we highlight how the application of in silico methods based on the correlation between cell line chemosensitivity and gene/protein expression patterns might be a quick, cheap, and interesting approach to predict the biological activity of investigated molecules., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

The approval of the first HIV-1 protease inhibitors (HIV-1 PRIs) marked a fundamental step in the control of AIDS, and this class of agents still represents the mainstay therapy for this illness. Despite the undisputed benefits, the necessary lifelong treatment led to numerous severe side-effects (metabolic syndrome, hepatotoxicity, diabetes, etc.). The HIV-1 PRIs are capable of interacting with "secondary" targets (off-targets) characterized by different biological activities from that of HIV-1 protease. In this scenario, the in-silico techniques undoubtedly contributed to the design of new small molecules with well-fitting selectivity against the main target, analyzing possible undesirable interactions that are already in the early stages of the research process. The present work is focused on a new mixed-hierarchical, ligand-structure-based protocol, which is centered on an on/off-target approach, to identify the new selective inhibitors of HIV-1 PR. The use of the well-established, ligand-based tools available in the DRUDIT web platform, in combination with a conventional, structure-based molecular docking process, permitted to fast screen a large database of active molecules and to select a set of structure with optimal on/off-target profiles. Therefore, the method exposed herein, could represent a reliable help in the research of new selective targeted small molecules, permitting to design new agents without undesirable interactions.

A novel series of triazin-chalcones (7,8)a-g and triazin- N -(3,5-dichlorophenyl)pyrazolines (9,10)a-g were synthesized and evaluated for their anticancer activity against nine different cancer strains. Triazine ketones 5 and 6 were synthesized from the cyanuric chloride 1 by using stepwise nucleophilic substitution of the chlorine atom. These ketones were subsequently subjected to a Claisen-Schmidt condensation reaction with aromatic aldehydes affording chalcones (7,8)a-g. Then, N -(3,5-dichlorophenyl)pyrazolines (9,10)a-g were obtained by cyclocondensation reactions of the respective chalcones (7,8)a-g with 3,5-dichlorophenylhydrazine. Among all the evaluated compounds, chalcones 7d,g and 8g exhibited more potent in vitro anticancer activity, with outstanding GI 50 values ranging from 0.422 to 14.9 μM and LC 50 values ranging from 5.08 μM to >100 μM. In silico studies, for both ligand- and structure-based, were executed to explore the inhibitory nature of chalcones and triazine derivatives. The results suggested that the evaluated compounds could act as modulators of the human thymidylate synthase enzyme., Competing Interests: There are no conflicts to declare., (This journal is © The Royal Society of Chemistry.)

Motivation: New in silico tools to predict biological affinities for input structures are presented. The tools are implemented in the DRUDIT (DRUgs DIscovery Tools) web service. The DRUDIT biological finder module is based on molecular descriptors that are calculated by the MOLDESTO (MOLecular DEScriptors TOol) software module developed by the same authors, which is able to calculate more than one thousand molecular descriptors. At this stage, DRUDIT includes 250 biological targets, but new external targets can be added. This feature extends the application scope of DRUDIT to several fields. Moreover, two more functions are implemented: the multi- and on/off-target tasks. These tools applied to input structures allow for predicting the polypharmacology and evaluating the collateral effects., Results: The applications described in the article show that DRUDIT is able to predict a single biological target, to identify similarities among biological targets, and to discriminate different target isoforms. The main advantages of DRUDIT for the scientific community lie in its ease of use by worldwide scientists and the possibility to be used also without specific, and often expensive, hardware and software. In fact, it is fully accessible through the WWW from any device to perform calculations. Just a click or a tap can start tasks to predict biological properties for new compounds or repurpose drugs, lead compounds, or unsuccessful compounds. To date, DRUDIT is supported by four servers each able to execute 8 jobs simultaneously., Availability and Implementation: The web service is accessible at the www.drudit.com URL and its use is free of charge., Supplementary Information: Supplementary data are available at Bioinformatics online., (© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Due to the scarce biological profile, the pyrazolo[1,2-a]benzo[1,2,3,4]tetrazine-3-one scaffold (PBT) has been recently explored as promising core for potential anticancer candidates. Several suitably decorated derivatives (PBTs) exhibited antiproliferative activity in the low-micromolar range associated with apoptosis induction and cell cycle arrest on S phase. Herein, we selected the most active derivatives and submitted them to further biological explorations to deepen the mechanism of action. At first, a DNA targeting is approached by means of flow Linear Dichroism experiments so as to evaluate how small planar molecules might interact with DNA, including the interference with the catalytic cycle of topoisomerase II and the influence on the cleavable complex stabilization (poisoning effect). In support of the experimental data, in silico studies have been achieved to better understand the chemical space of the interactions. Interestingly some meaningful structural features, useful for further developments, were found. The 8,9-di-Cl substituted derivative revealed as the most effective in the intercalative process, as well as on the inhibition of catalytic activity of topoisomerase II. Predicted ADME studies confirm that PBTs are promising as potential drug candidates., (© 2017 John Wiley & Sons A/S.)

A new series of 3-benzoylamino-5-(1H-imidazol-4-yl)methylaminobenzo[b]furans were synthesized and screened as antitumor agents. As a general trend, tested compounds showed concentration-dependent antiproliferative activity against HeLa and MCF-7 cancer cell lines, exhibiting GI 50 values in the low micromolar range. In most cases, insertion of a methyl substituent on the imidazole moiety improved the antiproliferative activity. Therefore, methyl-imidazolyl-benzo[b]furans compounds were tested in cell cycle perturbation experiments, producing cell cycle arrest with proapoptotic effects. Their core similarity to known colchicine binding site binders led us to further study the structure features as antitubulin agents by in silico protocols., (© 2017 John Wiley & Sons A/S.)

The old-fashioned anticancer approaches, aiming at arresting cancer cell proliferation interfering with non-specific targets (e.g. DNA), have been replaced, in the last decades, by more specific target oriented ones. Nonetheless, single-target approaches have not always led to optimal outcomes because, for its complexity, cancer needs to be tackled at various levels by modulation of several targets. Although at present, combinations of individual singletarget drugs represent the most clinically practiced therapeutic approaches, the modulation of multiple proteins by a single drug, in accordance with the polypharmacological strategy, has become more and more appealing. In the perspective of a multi-target approach, the closely related evolutionary members of the tyrosine kinase family are ideal candidates. Indeed, tyrosine kinase activities are not only critical in tumor phenotype maintenance, but also modulate several functions in the tumor microenvironment. Consequently, several multikinase inhibitors were approved in the last decade, and many new molecules are currently in preclinical or clinical development. In the present review we report on the most widely FDA-approved multitargeted drugs, discussing about their mechanism of action and outlining the clinical trials that have brought them to approval., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.)

Health benefits of dietary phytochemicals have been suggested in recent years. Among 1000s of different compounds, Betalains, which occur in vegetables of the Cariophyllalae order (cactus pear fruits and red beet), have been considered because of reducing power and potential to affect redox-modulated cellular processes. The antioxidant power of Betalains is strictly due to the dissociation rate of the acid moieties present in all the molecules of this family of phytochemicals. Experimentally, only the pK a values of betanin were determined. Recently, it was evidenced it was evidenced as the acid dissociation, at different environmental pHs, affects on its electron-donating capacity, and further on its free radical scavenging power. The identical correlation was studied on another Betalains family compound, Betalamic Acid. Experimental evidences showed that the free radical scavenging capacity of this compound drastically decreases at pH > 5, but pK a values were experimentally not measured. With the aim to justify the Betalamic Acid behavior as free radical scavenger, in this paper we tried to predict in silico the pK a values by means different approaches. Starting from the known experimental pK as of acid compounds, both phytochemicals and small organic, two empirical approaches and quantum-mechanical calculation were compared to give reliable prediction of the pK as of Betalamic Acid. Results by means these computational approaches are consistent with the experimental evidences. As shown herein, in silico, the totally dissociated species, at the experimental pH > 5 in solution, is predominant, exploiting the higher electron-donating capability (HOMO energy). Therefore, the computational estimated pK a values of Betalamic Acid resulted very reliable.

Background: Polypharmacology, defined as the modulation of multiple proteins rather than a single target to achieve a desired therapeutic effect, has been gaining increasing attention since 1990s, when industries had to withdraw several drugs due to their adverse effects, leading to permanent injuries or death, with multi-billiondollar legal damages. Therefore, if up to then the "one drug one target" paradigm had seen many researchers interest focused on the identification of selective drugs, with the strong expectation to avoid adverse drug reactions (ADRs), very recently new research strategies resulted more appealing even as attempts to overcome the decline in productivity of the drug discovery industry., Methods: Polypharmacology consists of two different approaches: the former, concerning a single drug interacting with multiple targets related to only one disease pathway; the latter, foresees a single drug's action on multiple targets involved in multiple disease pathways. Both new approaches are strictly connected to the discovery of new feasible off targets for approved drugs., Results: In this review, we describe how the in silico facilities can be a crucial support in the design of polypharmacological drug. The traditional computational protocols (ligand based and structure based) can be used in the search and optimization of drugs, by using specific filters to address them against the polypharmacology (fingerprints, similarity, etc.). Moreover, we dedicated a paragraph to biological and chemical databases, due to their crucial role in polypharmacology., Conclusion: Multitarget activities provide the basis for drug repurposing, a slightly different issue of high interest as well, which is mostly applied on a single target involved in more than one diseases. In this contest, computational methods have raised high interest due to the reached power of hardware and software in the manipulation of data.

Have you a compound in your lab, which was not successful against the designed target, or a drug that is no more attractive? The drug repurposing represents the right way to reconsider them. It can be defined as the modern and rationale approach of the traditional methods adopted in drug discovery, based on the knowledge, insight and luck, alias known as serendipity. This repurposing approach can be applied both in silico and in wet. In this review we report the molecular modeling facilities that can be of huge support in the repurposing of drugs and/or unsuccessful lead compounds. In the last decades, different methods were proposed to help the scientists in drug design and in drug repurposing. The steps strongly depend on the approach applied. It could be a ligand or a structure based method, correlated to the use of specific means. These processes, starting from a compound with potential therapeutic properties and a sizeable number of toxicity passed tests, can successfully speed up the very slow development of a molecule from bench to market. Herein, we discuss the facilities available to date, classifying them by methods and types. We have reported a series of databases, ligand and structure stand-alone software, and of web-based tools, which are free accessible to scientific community. This review does not claim to be exhaustive, but can be of interest to help in drug repurposing through in silico methods, as a valuable tool for the medicinal chemistry community.

Zinc(II) complexes are effective and selective nucleic acid-binders and strongly fluorescent molecules in the low energy range, from the visible to the near infrared. These two properties have often been exploited to quantitatively detect nucleic acids in biological samples, in both in vitro and in vivo models. In particular, the fluorescent emission of several zinc(II) complexes is drastically enhanced or quenched by the binding to nucleic acids and/or upon visible light exposure, in a different fashion in bulk solution and when bound to DNA. The twofold objective of this perspective is (1) to review recent utilisations of zinc(II) complexes as selective fluorescent probes for nucleic acids and (2) to highlight their novel potential applications as diagnostic tools based on their photophysical properties.

New benzothieno[3,2-d]-1,2,3-triazines, together with precursors triazenylbenzo[b]thiophenes, were designed, synthesized and screened as anticancer agents. The structural features of these compounds prompted us to investigate their DNA binding capability through UV-vis absorption titrations, circular dichroism, and viscometry, pointing out the occurrence of groove-binding. The derivative 3-(4-methoxy-phenyl)benzothieno[3,2-d]-1,2,3-triazin-4(3H)-one showed the highest antiproliferative effect against HeLa cells and was also tested in cell cycle perturbation experiments. The obtained results assessed for the first time the anticancer activity of benzothieno[3,2-d]-1,2,3-triazine nucleus, and we related it to its DNA-binding properties., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

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., (Copyright © 2014 Elsevier Masson SAS. All rights reserved.)

An unusual Dimroth rearrangement occurring in the reaction leading to annelated thieno[2,3-e][1,2,3]triazolo[1,5-a]pyrimidine core allowed the isolation of the linear isomer thieno[3,2-d][1,2,3]triazolo[1,5-a]pyrimidine. By decorating the linear isomer with the same chains that improved the biological activity of the angular isomers, new annelated thieno[3,2-d][1,2,3]triazolo[1,5-a]pyrimidines were designed and synthesized. They were selected by the Developmental Therapeutics Program (DTP) of the National Cancer Institute (NCI) for the anticancer screening against a panel of 60 human tumor cell lines. The biological results showed that the new derivatives exhibited strong antiproliferative activity up to nanomolar concentration. In vivo screenings of the most active compound, the N-[2-(1H-imidazol-4-yl)ethyl]-4-(3-phenyl-10-oxo-4,10-dihydrobenzothieno[3,2-d][1,2,3]triazolo[1,5-a]pyrimidin-4-yl)butanamide, showed its low toxicity and high potency., (Copyright © 2013 Elsevier Masson SAS. All rights reserved.)

Drug design was performed through the Virtual Lock-and-Key (VLAK) protocol. This in silico approach allowed to select new annelated thienotriazolopyrimidine derivatives, potentially antitumor drugs. Starting from benzothieno[2,3-e][1,2,3]triazolo[1,5-a]pyrimidine and Pyrido[3',2':4,5]thieno[2,3-e][1,2,3]triazolo[1,5-a]pyrimidine core structures, new derivatives of these nuclei were designed and synthesized. Three of them were selected by the Development Therapeutical Program (DTP) of the National Cancer Institute (NCI) for the anticancer screening against a panel of 60 human tumor cell lines. The biological results showed that the new derivatives exhibited an excellent antiproliferative activity reaching sub-micromolar concentration. Moreover, to be evidenced their low toxicity and high potency., (Copyright © 2013 Elsevier Masson SAS. All rights reserved.)

The chemometric protocol VLAK was applied to predict improvement of the biological activity of pyrrolo-pyrimidine derivatives as anticancer agents, by using the NCI ACAM Database as depository of antitumor drugs with a known mechanism of action. Among the selected compounds two of these showed a good increase in the antitumor activity. These new pyrrolo-pyrimidine compounds were demonstrated effective against the full panels of NCI DTP tumour human cell lines. The derivative 8-[3-(piperidino)propyl]-4,10-dimethyl-9-phenyl-6-(methylsulfanyl)-3,4-dihydropyrimido[1,2-c]pyrrolo[3,2-e]pyrimidin-2(8H)-one reveled efficacious against the leukemia subpanel, in particular the RPMI cell line resulted the most sensitive (pGI(50) = 6.68). Moreover the derivative 7-(3-Chloropropyl)-9-methyl-5-(methylsulfanyl)-8-phenyl-3H-imidazo[1,2-c]pyrrolo[3,2-e]pyrimidin-2(7H)-one showed a good antitumor activity against the leukemia subpanel with a low cytotoxic activity, above all against the HCT11 human tumour cell line. The VLAK protocol revealed a good method to design new molecules with good antitumor activity, starting from low active compounds. Moreover this protocol focused on the pyrrolo-pyrimidine derivatives as useful starting point for further development to obtain more potent antitumor agents., (Copyright © 2012 Elsevier Masson SAS. All rights reserved.)

In the last years the application of computational methodologies in the medicinal chemistry fields has found an amazing development. All the efforts were focused on the searching of new leads featuring a close affinity on a specific biological target. Thus, different molecular modeling approaches in simulation of molecular behavior for a specific biological target were employed. In spite of the increasing reliability of computational methodologies, not always the designed lead, once synthesized and screened, are suitable for the chosen biological target. To give another chance to these compounds, this work tries to resume the old concept of Fischer lock-and-key model. The same can be done for the "re-purposing" of old drugs. In fact, it is known that drugs may have many physiological targets, therefore it may be useful to identify them. This aspect, called "polypharmacology", is known to be therapeutically essential in the different treatments. The proposed protocol, the virtual lock-and-key approach (VLKA), consists in the "virtualization" of biological targets through the respectively known inhibitors. In order to release a real lock it is necessary the key fits the pins of the lock. The molecular descriptors could be considered as pins. A tested compound can be considered a potential inhibitor of a biological target if the values of its molecular descriptors fall in the calculated range values for the set of known inhibitors. The proposed protocol permits to transform a biological target in a "lock model" starting from its known inhibitors. To release a real lock all pins must fit. In the proposed protocol, it was supposed that the higher is the number of fit pins, the higher will be the affinity to the considered biological target. Therefore, each biological target was converted in a sequence of "weighted" molecular descriptor range values (locks) by using the structural features of the known inhibitors. Each biological target lock was tested by performing a molecular descriptors "fitting" on known inhibitors not used in the model construction (keys or test set). The results showed a good predictive capability of the protocol (confidence level 80%). This method gives interesting and convenient results because of the user-defined descriptors and biological targets choice in the process of new inhibitors discovery., (Copyright © 2011 Elsevier Masson SAS. All rights reserved.)

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.

One of the major problems in the fight against cancer is drug-resistance, which, at a molecular level, can be acquired through mutations able to deactivate apoptosis. In particular, proteins in the Bcl-2 family are central regulators of programmed cell death, and members that inhibit apoptosis, such as Bcl-xl and Bcl-2, are overexpressed in many tumours. The development of new inhibitors of these proteins as potential anticancer therapeutics represents a new frontier. In this work, we carried out an in-silico screening of compounds from a free database of more than 2 million structures (ZINC database), which allowed us to identify 17 sulfonamide derivatives as new potential inhibitors; these are currently undergoing biological evaluation.

During the last few decades, the development of new anticancer strategies had to face the instability of many tumors, occurring when the genetic plasticity of cells produces new drug-resistant cancers. It has been shown that a chaperone protein, heat shock protein 90 (Hsp90), is one of the fundamental factors involved in the cell response to stresses, and its role in many biochemical pathways has been demonstrated. Thus, the inhibition of Hsp90 represents a new target of antitumor therapy, since it may influence many specific signaling pathways. The natural antibiotic Geldanamycin is the first Hsp90 inhibitor that has been identified. Nevertheless, more potent and water-soluble small molecules are currently in development, and many X-ray crystallographic structures of Hsp90-inhibitor complexes are available for drug discovery purposes. Here we used the complexes of Hsp90 with eight different ligands, belonging to several chemical classes, to perform molecular docking experiments, using a novel technique called induced fit. Through this approach, it was possible to take into account the flexibility of the residues in the active site and to maintain a high level of precision in docking algorithms. The results allowed to identify several conserved residues involved in the interaction between Hsp90 and its inhibitor. Moreover, the exposition of the active site to solvent allows many water molecules to insert within the complex, providing additional hydrogen and polar interactions. Our models also provided template structures for further experiments and reproduces with a good degree of reliability, the conformations of the inhibitors as observed in experimental structures.

The emergence of drug-resistant mutants of HIV-1 is a tragic effect associated with conventional long-treatment therapies against acquired immunodeficiency syndrome. These mutations frequently involve the aspartic protease encoded by the virus; knowledge of the molecular mechanisms underlying the conformational changes of HIV-1 protease mutants may be useful in developing more effective and longer lasting treatment regimes. The flap regions of the protease are the target of a particular type of mutations occurring far from the active site. These mutations modify the affinity for both substrate and ligands, thus conferring resistance. In this work, molecular dynamics simulations were performed on a native wild type HIV-1 protease and on the drug-resistant M46I/G51D double mutant. The simulation was carried out for a time of 3.5 ns using the GROMOS96 force field, with implementation of the SPC216 explicit solvation model. The results show that the flaps may exist in an ensemble of conformations between a "closed" and an "open" conformation. The behaviour of the flap tips during simulations is different between the native enzyme and the mutant. The mutation pattern leads to stabilization of the flaps in a semi-open configuration.

Topoisomerase I (Top1) is an essential enzyme participating to all those processes associated with separation of DNA strands. It manages superhelical tensions through the transient breakage of one strand of duplex DNA, followed by the unwinding of supercoiled DNA. Camptothecins, a class of alkaloids extracted from the wood of a Chinese tree, were found to be potent inhibitors of Topoisomerase I. The National Cancer Institute (NCI) Anti-cancer Agents Mechanism Database contains several camptothecins derivatives, classified as selective Top1 inhibitors. In this work we performed molecular docking studies on 24 camptothecin-like inhibitors present in this database (using Autodock 3.0.5). In order to consider the different orientations of the active site residues, docking was performed using four different structures of a Top1-DNA complex. The results obtained allowed us to analyze some conformations adopted by the inhibitors during active site binding, confirming the role of hydrogen bond and contributed to clarify the loss of activity due to single point mutations.

This paper describes the use of the multivariate statistical procedure principal component analysis as a tool to explore the inhibitory activity of classes of protease inhibitors (PIs) against HIV-1 viruses (wild type and more-frequent single mutants, V82A, V82F, and I84V) and against protease enzymes. The analysis of correlations between biological activity and molecular descriptors or similarity indexes allowed a reliable classification of the 51 derivatives considered in this study. The best results were obtained in the case of the I84V mutant for which a high number of predictions was achieved. On this basis, this statistical approach is proposed as a reliable method for the prediction of the activity of PIs, for which the data against mutant strains have not been reported.

The efficient one-pot synthesis of several new tricyclic systems of type 1 and 2, obtained from the reaction of substituted 2-amino-3-cyanopyrroles and 3-amino-4-cyanopyrroles with BMMAs, is reported. The duration and yields of the reaction strongly depend on the reactivity of the starting pyrrole and on the size of the ring to be formed. Mechanist features of the reaction were investigated and proposed by studying also the reactivity of a 3-aminopyrrole-2,4-dicyano substituted. The method reported represents the first example of the use of BMMA reagents in combination with pyrrole derivatives and allows an easy and versatile entry to a large number of hitherto unknown pyrrolo-pyrimidines further annelated with nitrogen heterocycles of different sizes. These new polycondensed heterocycles possess the requisite to interact with DNA.

A series of [1, 2, 4triazino[4,3-a]indoles was prepared in good yield by reacting 2-diazo-3-ethoxycarbonylindole with methylene active compounds. Derivatives of the title ring system were tested against a panel of 60 human tumor cell lines, and showed inhibitory activity against a wide range of cancer cell lines at micromolar concentration.

A series of 2-triazenoindole derivatives was prepared in moderate to good yields by coupling 2-diazoindoles with secondary amines. Only 3-ethoxycarbonyl-2-(3.3-tetramethylenetriazenyl)-indole, tested against a panel of 60 human tumor cell lines, showed moderate activity on breast, ovarian and CNS cancer with GI50 in the range 23-36 microM.