Sub-Bandgap Sensitization of Perovskite Semiconductors via Colloidal Quantum Dots Incorporation.

By taking advantage of the outstanding intrinsic optoelectronic properties of perovskite-based photovoltaic materials, together with the strong near-infrared (NIR) absorption and electronic confinement in PbS quantum dots (QDs), sub-bandgap photocurrent generation is possible, opening the way for solar cell efficiencies surpassing the classical limits. The present study shows an effective methodology for the inclusion of high densities of colloidal PbS QDs in a MAPbI3 (methylammonium lead iodide) perovskite matrix as a means to enhance the spectral window of photon absorption of the perovskite host film and allow photocurrent production below its bandgap. The QDs were introduced in the perovskite matrix in different sizes and concentrations to study the formation of quantum-confined levels within the host bandgap and the potential formation of a delocalized intermediate mini-band (IB). Pronounced sub-bandgap (in NIR) absorption was optically confirmed with the introduction of QDs in the perovskite. The consequent photocurrent generation was demonstrated via photoconductivity measurements, which indicated IB establishment in the films. Despite verifying the reduced crystallinity of the MAPbI3 matrix with a higher concentration and size of the embedded QDs, the nanostructured films showed pronounced enhancement (above 10-fold) in NIR absorption and consequent photocurrent generation at photon energies below the perovskite bandgap.

MT1 and MT2 melatonin receptors play opposite roles in brain cancer progression.

Primary brain tumors remain among the deadliest of all cancers. Glioma grade IV (glioblastoma), the most common and malignant type of brain cancer, is associated with a 5-year survival rate of < 5%. Melatonin has been widely reported as an anticancer molecule, and we have recently demonstrated that the ability of gliomas to synthesize and accumulate this indolamine in the surrounding microenvironment negatively correlates with tumor malignancy. However, our understanding of the specific effects mediated through the activation of melatonin membrane receptors remains limited. Thus, here we investigated the specific roles of MT1 and MT2 in gliomas and medulloblastomas. Using the MT2 antagonist DH97, we showed that MT1 activation has a negative impact on the proliferation of human glioma and medulloblastoma cell lines, while MT2 activation has an opposite effect. Accordingly, gliomas have a decreased mRNA expression of MT1 (also known as MTNR1A) and an increased mRNA expression of MT2 (also known as MTNR1B) compared to the normal brain cortex. The MT1/MT2 expression ratio negatively correlates with the expression of cell cycle-related genes and is a positive prognostic factor in gliomas. Notably, we showed that functional selective drugs that simultaneously activate MT1 and inhibit MT2 exert robust anti-tumor effects in vitro and in vivo, downregulating the expression of cell cycle and energy metabolism genes in glioma stem-like cells. Overall, we provided the first evidence regarding the differential roles of MT1 and MT2 in brain tumor progression, highlighting their relevance as druggable targets. KEY MESSAGES: • MT1 impairs while MT2 promotes the proliferation of glioma and medulloblastoma cell lines. • Gliomas have a decreased expression of MT1 and an increased expression of MT2 compared to normal brain cortex. • Tumors with a high MT1/MT2 expression ratio have significantly better survival rates. • Functional selective drugs that simultaneously activate MT1 and inhibit MT2 downregulate the expression of cell cycle and energy metabolism genes in glioma stem-like cells and exert robust anti-tumor effects in vivo.

Prevalence and incidence of surgical site infections in the European Union/European Economic Area: how do these measures relate?

BACKGROUND: In 2011-2012, the European Centre for Disease Prevention and Control (ECDC) initiated the first European point prevalence survey (PPS) of healthcare-associated infections (HCAIs) in addition to targeted surveillance of the incidence of specific types of HCAI such as surgical site infections (SSIs). AIM: To investigate whether national and multi-country SSI incidence can be estimated from ECDC PPS data. METHODS: In all, 159 hospitals were included from 15 countries that participated in both ECDC surveillance modules, aligning surgical procedures in the incidence surveillance to corresponding specialties from the PPS. National daily prevalence of SSIs was simulated from the incidence surveillance data, the Rhame and Sudderth (R&S) formula was used to estimate national and multi-country SSI incidence from the PPS data, and national incidence per specialty was predicted using a linear model including data from the PPS. FINDINGS: The simulation of daily SSI prevalence from incidence surveillance of SSIs showed that prevalence fluctuated randomly depending on the day of measurement. The correlation between the national aggregated incidence estimated with R&S formula and observed SSI incidence was low (correlation coefficient = 0.24), but specialty-specific incidence results were more reliable, especially when the number of included patients was large (correlation coefficients ranging from 0.40 to 1.00). The linear prediction model including PPS data had low proportion of explained variance (0.40). CONCLUSION: Due to a lack of accuracy, use of PPS data to estimate SSI incidence is recommended only in situations where incidence surveillance of SSIs is not performed, and where sufficiently large samples of PPS data are available.

New insights about the monomer and homodimer structures of the human AOX1.

Human aldehyde oxidase (hAOX1) is a molybdenum dependent enzyme that plays an important role in the metabolism of various compounds either endogenous or xenobiotics. Due to its promiscuity, hAOX1 plays a major role in the pharmacokinetics of many drugs and therefore has gathered a lot of attention from the scientific community and, particularly, from the pharmaceutical industry. In this work, homology modelling, molecular docking and molecular dynamics simulations were used to study the structure of the monomer and dimer of human AOX. The results with the monomer of hAOX1 allowed to shed some light on the role played by thioridazine and two malonate ions that are co-crystalized in the recent X-ray structure of hAOX1. The results show that these molecules endorse several conformational rearrangements in the binding pocket of the enzyme and these changes have an impact in the active site topology as well as in the stability of the substrate (phthalazine). The results show that the presence of both molecules open two gates located at the entrance of the binding pocket, from which results the flooding of the active site. They also endorse several modifications in the shape of the binding pocket (namely the position of Lys893) that, together with the presence of the solvent molecules, favour the release of the substrate to the solvent. Further insights were also obtained with the assembled homodimer of hAOX1. The allosteric inhibitor (THI) binds closely to the region where the dimerization of both monomers occur. These findings suggest that THI can interfere with protein dimerization.

Protocol for Computational Enzymatic Reactivity Based on Geometry Optimisation.

Enzymes play a biologically essential role in performing and controlling an important share of the chemical processes occurring in life. However, despite their critical role in nature, attaining a clear understanding of the way an enzyme acts is still cumbersome. Computational enzymology is playing an increasingly important role in this field of research. It allows the elucidation of a complete and detailed mechanism of an enzymatic reaction, including the characterization of reaction intermediates and transition states from both structural and energetic points of view, which is something that no other single experiment can produce alone. In this review, we present a general computational strategy to study enzymatic mechanisms based on adiabatic mapping and free geometry optimization. These methods allow chemical reactions to be studied with high theoretical levels, and allow a more exhaustive exploration of the chemical reactional space than other available methods, albeit being limited to the extent that they explore the enzyme conformational space. Special attention is given to the choice of the theoretical levels, as well as describing the model systems that are currently used to study enzymatic reactions. With this, we aim to provide a good introduction for non-specialised users in this field of research. We also provide a selection of hand-picked examples from our own work that illustrate the power of computational enzymology to study catalytic mechanisms. Some of these studies constitute pioneering work in the field that were later validated by experimental means.

The mechanism of the Ser-(cis)Ser-Lys catalytic triad of peptide amidases.

In this paper, we report a theoretical investigation of the catalytic mechanism of peptide amidases that involve a Ser-(cis)Ser-Lys catalytic triad. Previous suggestions propose that these enzymes should follow a distinct catalytic mechanism from the one that is present in the classic Ser-His-Asp catalytic triad. The theoretical and computational results obtained in this work indicate the opposite idea, showing that both mechanisms are very similar and only few differences are observed between both reactions. The results reveal that the different alignment of the Ser-(cis)Ser-Lys catalytic triad in relation to the classical Ser-His-Asp triad may provide a better stabilisation of the reaction intermediates, and therefore make these enzymes catalytically more efficient. The catalytic mechanism has been determined at the M06-2X/6-311++G**//B3LYP/6-31G* level of theory and requires five sequential steps instead of the two that are generally proposed: (i) nucleophilic attack of serine on the carbonyl group of the substrate, forming the first tetrahedral intermediate, (ii) formation of an acyl-enzyme complex, (ii) release of an ammonia product, (iv) nucleophilic attack of a water molecule forming the second tetrahedral intermediate, and (iv) the release of the product of the reaction, the carboxylic acid. The computational results suggest that the rate-limiting step is the first one that requires an activation free energy of 15.93 kcal mol-1. This result agrees very well with the available experimental data that predict a reaction rate of 2200 s-1, which corresponds to a free energy barrier of 14 kcal mol-1.

Amino acid deprivation using enzymes as a targeted therapy for cancer and viral infections.

INTRODUCTION: Amino acid depletion in the blood serum is currently being exploited and explored for therapies in tumors or viral infections that are auxotrophic for a certain amino acid or have a metabolic defect and cannot produce it. The success of these treatments is because normal cells remain unaltered since they are less demanding and/or can synthesize these compounds in sufficient amounts for their needs by other mechanisms. Areas covered: This review is focused on amino acid depriving enzymes and their formulations that have been successfully used in the treatment of several types of cancer and viral infections. Particular attention will be given to the enzymes L-asparaginase, L-arginase, L-arginine deiminase, and L-methionine-γ-lyase. Expert opinion: The immunogenicity and other toxic effects are perhaps the major limitations of these therapies, but they have been successfully decreased either through the expression of these enzymes from other organisms, recombination processes, pegylation of the selected enzymes or by specific mutations in the proteins. In 2006, FDA has already approved the use of L-asparaginase in the treatment of acute lymphoblastic leukemia. Other enzymes and in particular L-arginase, L-arginine deiminase, and L-methioninase have been showing promising results in vitro and in vivo studies.

Cholesterol Biosynthesis: A Mechanistic Overview.

Cholesterol is an essential component of cell membranes and the precursor for the synthesis of steroid hormones and bile acids. The synthesis of this molecule occurs partially in a membranous world (especially the last steps), where the enzymes, substrates, and products involved tend to be extremely hydrophobic. The importance of cholesterol has increased in the past half-century because of its association with cardiovascular diseases, which are considered one of the leading causes of death worldwide. In light of the current need for new drugs capable of controlling the levels of cholesterol in the bloodstream, it is important to understand how cholesterol is synthesized in the organism and identify the main enzymes involved in this process. Taking this into account, this review presents a detailed description of several enzymes involved in the biosynthesis of cholesterol. In this regard, the structure and catalytic mechanism of the enzymes involved in cholesterol biosynthesis, from the initial two-carbon acetyl-CoA building block, will be reviewed and their current pharmacological importance discussed. We believe that this review may contribute to a deeper level of understanding of cholesterol metabolism and that it will serve as a useful resource for future studies of the cholesterol biosynthesis pathway.

Including sheath effects in the interpretation of planar retarding potential analyzer's low-energy ion data.

The interpretation of planar retarding potential analyzers (RPA) during ionospheric sounding rocket missions requires modeling the thick 3D plasma sheath. This paper overviews the theory of RPAs with an emphasis placed on the impact of the sheath on current-voltage (I-V) curves. It then describes the Petite Ion Probe (PIP) which has been designed to function in this difficult regime. The data analysis procedure for this instrument is discussed in detail. Data analysis begins by modeling the sheath with the Spacecraft Plasma Interaction System (SPIS), a particle-in-cell code. Test particles are traced through the sheath and detector to determine the detector's response. A training set is constructed from these simulated curves for a support vector regression analysis which relates the properties of the I-V curve to the properties of the plasma. The first in situ use of the PIPs occurred during the MICA sounding rocket mission which launched from Poker Flat, Alaska in February of 2012. These data are presented as a case study, providing valuable cross-instrument comparisons. A heritage top-hat thermal ion electrostatic analyzer, called the HT, and a multi-needle Langmuir probe have been used to validate both the PIPs and the data analysis method. Compared to the HT, the PIP ion temperature measurements agree with a root-mean-square error of 0.023 eV. These two instruments agree on the parallel-to-B plasma flow velocity with a root-mean-square error of 130 m/s. The PIP with its field of view aligned perpendicular-to-B provided a density measurement with an 11% error compared to the multi-needle Langmuir Probe. Higher error in the other PIP's density measurement is likely due to simplifications in the SPIS model geometry.

The catalytic mechanism of carboxylesterases: a computational study.

The catalytic mechanism of carboxylesterases (CEs, EC 3.1.1.1) is explored by computational means. CEs hydrolyze ester, amide, and carbamate bonds found in xenobiotics and endobiotics. They can also perform transesterification, a reaction important, for instance, in cholesterol homeostasis. The catalytic mechanisms with three different substrates (ester, thioester, and amide) have been established at the M06-2X/6-311++G**//B3LYP/6-31G* level of theory. It was found that the reactions proceed through a mechanism involving four steps instead of two as is generally proposed: (i) nucleophilic attack of serine to the substrate, forming the first tetrahedral intermediate, (ii) formation of the acyl-enzyme complex concomitant with the release of the alcohol product, (iii) nucleophilic attack of a water or alcohol molecule forming the second tetrahedral intermediate, and (iv) the release of the second product of the reaction. The results agree very well with the available experimental data and show that the hydrolytic and the transesterification reactions are competitive processes when the substrate is an ester. In all the other studied substrates (thioester or amide), the hydrolytic and transesterification process are less favorable and some of them might not even take place under in vivo conditions.

Discovery of new druggable sites in the anti-cholesterol target HMG-CoA reductase by computational alanine scanning mutagenesis.

The enzyme 3-hydroxy-3-methyl-glutaryl-CoA reductase (HMG-CoA-R) is the fundamental target for the treatment of hypercholesterolemia nowadays. The HMG-CoA-R clinical active site inhibitors (statins) are among the most widespread and profitable drugs ever sold but their side effects (myopathies, sometimes severe) still limit their use, which makes the finding of alternatives to statins a field of intense research. In this line, we address here a new strategy for inhibiting the homotetrameric HMG-CoA-R. The enzyme consists of a "dimer of dimers", each dimer having two active sites. We pursue here the inhibition of enzyme oligomerization, through drug binding to the dimer interface. We have computationally mutated 232 interfacial residues by alanine and calculated the loss in binding free energy among the monomers that build up each dimer of the homotetramer. This led to the identification of the (ten) key residues for the formation of the active dimer (Glu528, Ile531, Met534, Tyr644, Glu665, Asn686, Lys692, Lys735, Met742, and Val863). The results show that these residues are located in two specific spots of the protein with a cleft shape, whose shape and size is favorable for small drug binding. It is expectable that small molecules specifically bound to these druggable pockets will have a major effect on the oligomerization of the protein or/and in active site formation. This paves the way for the discovery of new families of inhibitors of HMG-CoA-R.

Farnesyltransferase inhibitors: a comprehensive review based on quantitative structural analysis.

Farnesyltransferase inhibitors (FTIs) have mainly been used in cancer therapy. However, more recently, investigations on these inhibitors revealed that FTIs can be used for the treatment of other diseases such as Progeria, P. falciparum resistant malaria, Trypnosomatid, etc. Hence the development of novel FTIs is an important task for the drug discovery program. Initially, numerous peptidomimetic FTIs were developed from the template of CAAX (CVIM was the first pharmacophore model used as a peptidomimetic). Later, many non-peptidomimetic FTIs have been discovered with the structural modification of the peptidomimetics. The structural analysis of those developed FTIs by various researchers suggested that the presence of a heterocycle or a polar group in place of the thiol group is required for interaction with the Zn(2+) ion. The bulky naphthyl, quinolinyl, phenyl, phenothazine, etc in this position provide better hydrophobicity to the molecules which interact with the aromatic amino acid moieties in the hydrophobic pocket. A hydrophilic region with polar groups is necessary for the polar or hydrogen bonding interactions with the amino acids or water molecules in the active site. Many FTIs have been isolated from natural products, which possessed inhibitory activity against farnesyltransferase (FTase). Among them, pepticinnamin E (9R), fusidienol (9T), gliotoxin (9V), cylindrol A (9X), etc possessed potential FTase inhibitory activities and their structural features are comparable to those of the synthetic molecules. The clinical studies progressing on FTIs showed that tipifarnib in combination with bortezomib is used for the treatment of patients with advanced acute leukemias. Successful phase I and II studies are undergoing for tipifarnib alone or in combination with other drugs/radiation for the treatment of multiple myeloma, AML, breast cancer, mantle cell lymphoma, solid tumors, non-small cell lung cancer (NSCLC), pancreatic cancer, glioblastoma, etc. Phase I pharmacokinetic (maximum tolerated dose, toxicity) and pharmacodynamic studies of AZD3409 (an orally active double prodrug) is progressing on patients with solid malignancies taking 500 mg once a day. A phase II study is undergoing on lonafarnib alone and in combination with zoledronic acid and pravastatin for the treatment of Hutchinson-Gilford Progeria syndrome (HGPS) and progeroid laminopathies. Lonafarnib therapy improved cardiovascular status of children with HGPS, by improved peripheral arterial stiffness, bone structure and audiological status in the patients. Other important FTIs such as BMS-214662, LB42908, LB42708, etc are under clinical studies for the treatment of various cancers. This review concluded that the quantitative structural analysis report with an elaborative study on the natural product compounds provides ideas for development of novel molecules for the FTase inhibitory activity. The fragment based analysis is also needed to select the substituents, which provides significant inhibitory activities and can also have good pharmacokinetic properties in the clinical studies.

Protein-ligand docking in the new millennium--a retrospective of 10 years in the field.

Protein-ligand docking is currently an important tool in drug discovery efforts and an active area of research that has been the subject of important developments over the last decade. These are well portrayed in the rising number of available protein-ligand docking software programs, increasing level of sophistication of its most recent applications, and growing number of users. While starting by summarizing the key concepts in protein-ligand docking, this article presents an analysis of the evolution of this important field of research over the past decade. Particular attention is given to the massive range of alternatives, in terms of protein-ligand docking software programs currently available. The emerging trends in this field are the subject of special attention, while old established docking alternatives are critically revisited. Current challenges in the field of protein-ligand docking such as the treatment of protein flexibility, the presence of structural water molecules and its effect in docking, and the entropy of binding are dissected and discussed, trying to anticipate the next years in the field.

Understanding the importance of the aromatic amino-acid residues as hot-spots.

Protein-protein interactions (PPI) are crucial for the establishment of life. However, its basic principles are still elusive and the recognition process is yet to be understood. It is important to look at the biomolecular structural space as a whole, in order to understand the principles behind conformation-function relationships. Since the application of an alanine scanning mutagenesis (ASM) study to the growth hormone it was demonstrated that only a small subset of residues at a protein-protein interface is essential for binding - the hot-spots (HS). Aromatic residues are some of the most typical HS at a protein-protein interface. To investigate the structural role of the interfacial aromatic residues in protein-protein interactions, we performed Molecular Dynamic (MD) simulations of protein-protein complexes in a water environment and calculated a variety of physical-chemical characteristics. ASM studies of single residues and of dimers or high-order clusters were performed to check for cooperativity within aromatic residues. Major differences were found between the behavior of non-HS aromatic residues and HS aromatic residues that can be used to design drugs to block the critical interactions or to predict major interactions at protein-protein complexes.

Computational Alanine Scanning Mutagenesis: MM-PBSA vs TI.

Understanding protein-protein association and being able to determine the crucial residues responsible for their association (hot-spots) is a key issue with huge practical applications such as rational drug design and protein engineering. A variety of computational methods exist to detect hot-spots residues, but the development of a fast and accurate quantitative alanine scanning mutagenesis (ASM) continues to be crucial. Using four protein-protein complexes, we have compared a variation of the standard computational ASM protocol developed at our group, based on the Molecular Mechanics/Poisson-Boltzmann Surface Area (MM-PBSA) approach, against Thermodynamic Integration (TI), a well-known and accurate but computationally expensive method. To compare the efficiency and the accuracy of the two methods, we have calculated the protein-protein binding free energy differences upon alanine mutation of interfacial residues (ΔΔGbind). In relation to the experimental ΔΔGbind values, the average error obtained with TI was 1.53 kcal/mol, while the ASM protocol resulted in an average error of 1.18 kcal/mol. The results demonstrate that the much faster ASM protocol gives results at the same level of accuracy as the TI method but at a fraction of the computational time required to run TI. This ASM protocol is therefore a strong and efficient alternative to the systematic evaluation of protein-protein interfaces, involving hundreds of amino acid residues in search of hot-spots.

Studies on α-glucosidase inhibitors development: magic molecules for the treatment of carbohydrate mediated diseases.

α-Glucosidase (EC 3.2.1.20) enzyme belongs to the glycosidase family enzymes, cleave the glycosidic bond of the oligosaccharides that liberate glucose and its inhibition retards the carbohydrate digestion. In the present review, we have discussed the structural features of different α-glucosidase inhibitors (small molecules) responsible for the inhibitory activities. The reported computational studies including, QSAR, pharmacophore modelling, homology models, docking (with analogs enzymes), etc revealed that the topological, electronic and hydrophobicity properties determine the interactions of those molecules. The aromatic substituents connected with flexible bonds in the molecules have significant effect on the interactions, which may due to the presence of aromatic amino acid residues in the active site. The reported homology modelled and other analogs enzymes (enzymes of other species) also confirmed the existence of aromatic residue (amino acids) especially, histidine, phenylalanine and tyrosine in their active site along with the polar (glutamic and aspartic acids) residues. Multiple sequence alignments of the α-glucosidase enzymes (from different species) described that the abovementioned amino acid residues are present in the active site of all the studied enzymes. Recently, Celgosivir (MIGENIX Inc) is an oral prodrug of the natural product castanospermine used for the treatment of HCV infection by inhibiting α-glucosidase I. BMN-701 is an α-glucosidase inhibitors in the phase I pipeline (BioMarine) for the treatment of Pompe diseases. CKD-711 and CKD-711a are aminooligosaccharide α-glucosidase inhibitors and the in vitro study of CKD-711 showed similar effects to acarbose on porcine intestinal maltase and sucrase (IC50s of 2.5 and 0.5 µg/ml). This review also concluded that many α-glucosidases inhibitors obtained from natural products are used for the treatment of various carbohydrate mediated diseases. The structural analysis of these synthetic and natural derivatives guide for the development of novel semisynthetic/synthetic α-glucosidase inhibitors with free of toxicities.

Analysis of van der Waals surface area properties for human ether-a-go-go-related gene blocking activity: computational study on structurally diverse compounds.

In the present investigation, a computational analysis was performed on a data set comprised of human ether-a-go-go-related gene (hERG) blockers (triethanolamine, 1,3-thiazol-2-yl and tetrasubstituted imidazoline derivatives) in order to investigate the structural features required to reduce the hERG-induced cardiotoxicity problems in an early stage of drug discovery. The results derived from the quantitative structure-activity relationship (QSAR) analysis showed that the volume, surface area and shape descriptors (vsurf_) contributed significantly in all the models. This reveals that the hydrogen-bonding and hydrophilicity properties (vsurf_HB1, vsurf_CW4 and a_acc) on the van der Waals (vdW) surface of the molecule is negatively contributed for the hERG blocking activity and the hydrophobic property (vsurf_D6) and the total polar volume (vsurf_Wp2) on the vdW surface of the molecule are favourable for the activity. Further, the pharmacophore analysis also shows that the Aro/Hyd/Acc contour is one of the important biophore sites for the hERG blocking activity. This suggests that the presence of aromatic, hydrophobic and hydrogen-bonding groups in the molecules is favourable for interaction. In comparison with our earlier works (explaining the role of topological and hydrophobicity properties for the hERG blocking activity), these studies provided additional information on the importance of vdW surface area properties for the hERG blocking activity. These results can be used with other molecular modelling studies for the design of novel molecules that are free of cardiotoxicity.

Gemcitabine: a critical nucleoside for cancer therapy.

Gemcitabine (dFdC, 2',2'-difluorodeoxycytidine) is a deoxycytidine nucleoside analogue of deoxycytidine in which two fluorine atoms have been inserted into the deoxyribose ring. Like other nucleoside analogues, gemcitabine is a prodrug. It is inactive in its original form, and depends on the intracellular machinery to gain pharmacological activity. What makes gemcitabine different from other nucleoside analogues is that it is actively transported across the cell membrane, it is phosphorylated more efficiently and it is eliminated at a slower rate. These differences, together with self-potentiation mechanisms, masked DNA chain termination and extensive inhibitory efficiency against several enzymes, are the source of gemcitabine's cytotoxic activity against a wide variety of tumors. This unique combination of metabolic properties and mechanistic characteristics is only found in very few other anticancer drugs, and both the FDA and the EMEA have already approved its use for clinical purposes, for the treatment of several types of tumors. In spite of the promising results associated with gemcitabine, the knowledge of its mode of action and of the enzymes it interacts with is still not fully documented. In this article we propose to review all these aspects and summarize the path of gemcitabine inside the cell.

Structural analysis of 2-piperidin-4-yl-actamide derivatives for hERG blocking and MCH R1 antagonistic activities.

In the present investigation, a computational based structural analysis was performed on a series of 2-piperidin- 4-yl-acetamide derivatives to investigate the physicochemical features of the molecules responsible for the hERG blocking and melanin concentrating hormone receptor-1 (MCH R1) antagonistic activities. The QSAR models derived from MLR analysis were validated by various validation methods and they provided significant statistical results such as Q(2), F, t(test), R, predicated residual error values, etc. These significant models were constructed with different type of physicochemical descriptors which showed that the hydrophobic properties on the vdW surface of the molecules are favorable for both the activities (MCH R1 antagonistic and hERG blocking activities) and the presence of polar/electronegative groups in the molecules is detrimental for those activities. The presence of flexible aromatic rings in the molecules has favorable hERG blocking activity. The MCH R1 antagonistic activity also depends upon the vdW volume, shape and flexibility of the molecules. In addition, the presented results will guide for the optimized design of novel bioactive molecules with less/free of hERG blocking activities to avoid unwanted potential cardiotoxic side effects related with the use of these possible antiarrhythmic and anti-obesity agents in humans.

Frequency of Chlamydia trachomatis, Neisseria gonorrhoeae, Mycoplasma genitalium, Mycoplasma hominis and Ureaplasma species in cervical samples.

We investigated the relative frequencies of Chlamydia trachomatis, Neisseria gonorrhoeae, Mycoplasma genitalium, Mycoplasma hominis and Ureaplasma sp. in cervical samples. PCR analyses were performed in ectocervical and endocervical samples from 224 patients attending public health services in Belo Horizonte and Contagem, Minas Gerais Brazil. A high prevalence of colonisation of the cervix (6.3% for C. trachomatis, 4.0% for N. gonorrhoeae, 0.9% for M. genitalium, 21.9% for M. hominis, 38.4% for Ureaplasma sp.) was demonstrated not only for pathogens classically associated to cervicitis (C. trachomatis and N. gonorrhoeae), but also for M. hominis and Ureaplasma sp. These findings may be useful to guide more adequate diagnosis to interrupt transmission and to avoid negative impacts on the female reproductive tract.