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Selected AbstractsFunctional polymorphisms in dopamine and serotonin pathway genes,HUMAN MUTATION, Issue 1 2006Ursula M. D'Souza Abstract There is mounting evidence on the functional significance of single nucleotide and simple repeat sequence polymorphisms in both the coding and regulatory regions of genes in the monoamine neurotransmitter pathways. Many of these gene variants have been associated with human behavioral disorders and traits, and thus have important clinical relevance. This review summarizes the literature on the published functional studies from a molecular, cellular, and neurobiological perspective, and notes their possible behavioral consequences. Functional studies have adopted a variety of strategies. Pharmacological studies have focused on the effects of gene variation at the protein level in terms of binding to ligands or drugs. Other key investigations have determined effects on gene expression at the level of transcription in mammalian cell cultures, lymphoblasts, and/or human postmortem brain tissue. This has enabled the comparison of in vitro and in vivo data, and furthermore provides an improved perceptive of their respective advantages. Additionally, molecular biological approaches have identified transcription factors (DNA-binding proteins) that interact with the motifs within the polymorphisms themselves. Various neuroimaging studies have further determined the relationship of genotype with protein availability in the brain, and thus have contributed to our understanding of the in vivo functional significance of gene variants. Finally, there is growing evidence from both human and animal studies on the interaction of functional polymorphisms with the environment in determining a behavioral outcome. Taken together, these findings have contributed to a greater understanding of the plausible molecular mechanisms that underpin the functional significance of polymorphisms in monoamine neurotransmitter pathway genes, and how they may influence behavioral phenotypes. Hum Mutat 27(1), 1,13, 2006. © 2005 Wiley-Liss, Inc. [source] Guidelines on the insertion and management of central venous access devices in adultsINTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY, Issue 4 2007L. BISHOP Summary Central venous access devices are used in many branched of medicine where venous access is required for either long-term or a short-term care. These guidelines review the types of access devices available and make a number of major recommendations. Their respective advantages and disadvantages in various clinical settings are outlined. Patient care prior to, and immediately following insertion is discussed in the context of possible complications and how these are best avoided. There is a section addressing long-term care of in-dwelling devices. Techniques of insertion and removal are reviewed and management of the problems which are most likely to occur following insertion including infection, misplacement and thrombosis are discussed. Care of patients with coagulopathies is addressed and there is a section addressing catheter-related problems. [source] Multiple ligand simultaneous docking: Orchestrated dancing of ligands in binding sites of proteinJOURNAL OF COMPUTATIONAL CHEMISTRY, Issue 10 2010Huameng Li Abstract Present docking methodologies simulate only one single ligand at a time during docking process. In reality, the molecular recognition process always involves multiple molecular species. Typical protein,ligand interactions are, for example, substrate and cofactor in catalytic cycle; metal ion coordination together with ligand(s); and ligand binding with water molecules. To simulate the real molecular binding processes, we propose a novel multiple ligand simultaneous docking (MLSD) strategy, which can deal with all the above processes, vastly improving docking sampling and binding free energy scoring. The work also compares two search strategies: Lamarckian genetic algorithm and particle swarm optimization, which have respective advantages depending on the specific systems. The methodology proves robust through systematic testing against several diverse model systems: E. coli purine nucleoside phosphorylase (PNP) complex with two substrates, SHP2NSH2 complex with two peptides and Bcl-xL complex with ABT-737 fragments. In all cases, the final correct docking poses and relative binding free energies were obtained. In PNP case, the simulations also capture the binding intermediates and reveal the binding dynamics during the recognition processes, which are consistent with the proposed enzymatic mechanism. In the other two cases, conventional single-ligand docking fails due to energetic and dynamic coupling among ligands, whereas MLSD results in the correct binding modes. These three cases also represent potential applications in the areas of exploring enzymatic mechanism, interpreting noisy X-ray crystallographic maps, and aiding fragment-based drug design, respectively. © 2010 Wiley Periodicals, Inc. J Comput Chem, 2010 [source] Determination of nonsteroidal antiinflammatory drugs in water samples using liquid chromatography coupled with diode-array detector and mass spectrometryJOURNAL OF SEPARATION SCIENCE, JSS, Issue 17 2005Jolanta Debska Abstract An analytical method for the determination of trace levels of six different nonsteroidal antiinflammatory drugs (NSAIDs) in water samples has been developed and validated. Environmentally relevant pharmaceuticals were chosen according to human consumption in Poland. Final analysis of the target compounds was performed by RP LC,diode-array detection,MS, whereas sample preparation included an SPE step. For this SPE step, a number of packing materials, such as LiChrolut RP-18, calixarene, Strata-X, BAKERBOND Narc-2, BAKERBOND Polar Plus, BAKERBOND styrene divinylbenzene-1, and Discovery DSC-18, were used, and their respective advantages and disadvantages in this study were discussed. The RP-18 phase was found to be the most retentive for all analytes. The detection limits for compounds in surface waters were varied from 0.005 for diflunisal to 0.095 ,g/L for ibuprofen. The average recoveries of NSAIDs from the surface water samples ranged from 80 up to 103%. RSD value is relatively low (from 4% for fenoprofen up to 8% for ibuprofen). The performance of the method was tested with several environmental water samples. [source] |