27 research outputs found

    A statistical network analysis of the HIV/AIDS epidemics in Cuba

    Get PDF
    The Cuban contact-tracing detection system set up in 1986 allowed the reconstruction and analysis of the sexual network underlying the epidemic (5,389 vertices and 4,073 edges, giant component of 2,386 nodes and 3,168 edges), shedding light onto the spread of HIV and the role of contact-tracing. Clustering based on modularity optimization provides a better visualization and understanding of the network, in combination with the study of covariates. The graph has a globally low but heterogeneous density, with clusters of high intraconnectivity but low interconnectivity. Though descriptive, our results pave the way for incorporating structure when studying stochastic SIR epidemics spreading on social networks

    The Free Energy Landscape of Small Molecule Unbinding

    Get PDF
    The spontaneous dissociation of six small ligands from the active site of FKBP (the FK506 binding protein) is investigated by explicit water molecular dynamics simulations and network analysis. The ligands have between four (dimethylsulphoxide) and eleven (5-diethylamino-2-pentanone) non-hydrogen atoms, and an affinity for FKBP ranging from 20 to 0.2 mM. The conformations of the FKBP/ligand complex saved along multiple trajectories (50 runs at 310 K for each ligand) are grouped according to a set of intermolecular distances into nodes of a network, and the direct transitions between them are the links. The network analysis reveals that the bound state consists of several subbasins, i.e., binding modes characterized by distinct intermolecular hydrogen bonds and hydrophobic contacts. The dissociation kinetics show a simple (i.e., single-exponential) time dependence because the unbinding barrier is much higher than the barriers between subbasins in the bound state. The unbinding transition state is made up of heterogeneous positions and orientations of the ligand in the FKBP active site, which correspond to multiple pathways of dissociation. For the six small ligands of FKBP, the weaker the binding affinity the closer to the bound state (along the intermolecular distance) are the transition state structures, which is a new manifestation of Hammond behavior. Experimental approaches to the study of fragment binding to proteins have limitations in temporal and spatial resolution. Our network analysis of the unbinding simulations of small inhibitors from an enzyme paints a clear picture of the free energy landscape (both thermodynamics and kinetics) of ligand unbinding

    Distribution of misfolded prion protein seeding activity alone does not predict regions of neurodegeneration

    Get PDF
    Protein misfolding is common across many neurodegenerative diseases, with misfolded proteins acting as seeds for "prion-like" conversion of normally folded protein to abnormal conformations. A central hypothesis is that misfolded protein accumulation, spread and distribution is restricted to specific neuronal populations of the central nervous system and thus predict regions of neurodegeneration. We examined this hypothesis using a highly sensitive assay system for detection of misfolded protein seeds in a murine model of prion disease. Misfolded prion protein seeds were observed widespread throughout the brain accumulating in all brain regions examined irrespective of neurodegeneration. Importantly neither time of exposure nor amount of misfolded protein seeds present determined regions of neurodegeneration. We further demonstrate two distinct microglia responses in prion infected brains, a 11 novel homeostatic response in all regions and an innate immune response restricted to sites of 12 neurodegeneration. Therefore accumulation of misfolded prion protein alone does not define targeting 13 of neurodegeneration which instead results only when misfolded prion protein accompanies a specific 14 innate immune response

    Statistical strategies for avoiding false discoveries in metabolomics and related experiments

    Full text link

    Strategic Self-presentation in the Sharing Economy: Implications for Host Branding

    No full text
    Peer-to-peer accommodation platform is a unique venue of commercial social exchanges where mixed-mode interactions (i.e., online first, then offline) occur between hosts and guests. With the continuous growth of sharing economy comes the importance to better understand the strategies that hosts use to communicate with and attract their prospective consumers. Using the framework of personal branding and self-presentation, this study explored the different ways hosts of peer-to-peer accommodation articulate their profile online. Using host descriptions from 12,785 Airbnb listings in New York, United States, five clusters of host self-presentation were identified: The Global Citizen, The Local Expert, The Personable, The Established, and The Creative. Honest and positive self-presentation, as well as competence strategies were identified from these clusters. The host profiles were further explored to identify differences in their behaviour, listing characteristics, and guest review ratings
    corecore