233 research outputs found

    The Racing-Game Effect: Why Do Video Racing Games Increase Risk-Taking Inclinations?

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    The present studies investigated why video racing games increase players’ risk-taking inclinations. Four studies reveal that playing video racing games increases risk taking in a subsequent simulated road traffic situation, as well as risk-promoting cognitions and emotions, blood pressure,sensation seeking, and attitudes toward reckless driving. Study 1 ruled out the role of experimental demand in creating such effects. Studies 2 and 3 showed that the effect of playing video racing games on risk taking was partially mediated by changes in selfperceptions as a reckless driver. These effects were evident only when the individual played racing games that reward traffic violations rather than racing games that do not reward traffic violations (Study 3) and when the individual was an active player of such games rather than a passive observer (Study 4). In sum, the results underline the potential negative impact of racing games on traffic safety

    Spontaneous Quaternary and Tertiary T-R Transitions of Human Hemoglobin in Molecular Dynamics Simulation

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    We present molecular dynamics simulations of unliganded human hemoglobin (Hb) A under physiological conditions, starting from the R, R2, and T state. The simulations were carried out with protonated and deprotonated HC3 histidines His(β)146, and they sum up to a total length of 5.6µs. We observe spontaneous and reproducible T→R quaternary transitions of the Hb tetramer and tertiary transitions of the α and β subunits, as detected from principal component projections, from an RMSD measure, and from rigid body rotation analysis. The simulations reveal a marked asymmetry between the α and β subunits. Using the mutual information as correlation measure, we find that the β subunits are substantially more strongly linked to the quaternary transition than the α subunits. In addition, the tertiary populations of the α and β subunits differ substantially, with the β subunits showing a tendency towards R, and the α subunits showing a tendency towards T. Based on the simulation results, we present a transition pathway for coupled quaternary and tertiary transitions between the R and T conformations of Hb

    Minimum Free Energy Path of Ligand-Induced Transition in Adenylate Kinase

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    Large-scale conformational changes in proteins involve barrier-crossing transitions on the complex free energy surfaces of high-dimensional space. Such rare events cannot be efficiently captured by conventional molecular dynamics simulations. Here we show that, by combining the on-the-fly string method and the multi-state Bennett acceptance ratio (MBAR) method, the free energy profile of a conformational transition pathway in Escherichia coli adenylate kinase can be characterized in a high-dimensional space. The minimum free energy paths of the conformational transitions in adenylate kinase were explored by the on-the-fly string method in 20-dimensional space spanned by the 20 largest-amplitude principal modes, and the free energy and various kinds of average physical quantities along the pathways were successfully evaluated by the MBAR method. The influence of ligand binding on the pathways was characterized in terms of rigid-body motions of the lid-shaped ATP-binding domain (LID) and the AMP-binding (AMPbd) domains. It was found that the LID domain was able to partially close without the ligand, while the closure of the AMPbd domain required the ligand binding. The transition state ensemble of the ligand bound form was identified as those structures characterized by highly specific binding of the ligand to the AMPbd domain, and was validated by unrestrained MD simulations. It was also found that complete closure of the LID domain required the dehydration of solvents around the P-loop. These findings suggest that the interplay of the two different types of domain motion is an essential feature in the conformational transition of the enzyme

    Reconstructing the basal angiosperm phylogeny: evaluating information content of mitochondrial genes

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    Three mitochondrial (atp1, matR, nad5), four chloroplast (atpB, matK, rbcL, rpoC2), and one nuclear (18S) genes from 162 seed plants, representing all major lineages of gymnosperms and angiosperms, were analyzed together in a supermatrix or in various partitions using likelihood and parsimony methods. The results show that Amborella + Nymphaeales together constitute the first diverging lineage of angiosperms, and that the topology of Amborella alone being sister to all other angiosperms likely represents a local long branch attraction artifact. The monophyly of magnoliids, as well as sister relationships between Magnoliales and Laurales, and between Canellales and Piperales, are all strongly supported. The sister relationship to eudicots of Ceratophyllum is not strongly supported by this study; instead a placement of the genus with Chloranthaceae receives moderate support in the mitochondrial gene analyses. Relationships among magnoliids, monocots, and eudicots remain unresolved. Direct comparisons of analytic results from several data partitions with or without RNA editing sites show that in multigene analyses, RNA editing has no effect on well supported relationships, but minor effect on weakly supported ones. Finally, comparisons of results from separate analyses of mitochondrial and chloroplast genes demonstrate that mitochondrial genes, with overall slower rates of substitution than chloroplast genes, are informative phylogenetic markers, and are particularly suitable for resolving deep relationships.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/147147/1/tax25065680.pd
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