15 research outputs found

    New User-Friendly Approach to Obtain an Eisenberg Plot and Its Use as a Practical Tool in Protein Sequence Analysis

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    The Eisenberg plot or hydrophobic moment plot methodology is one of the most frequently used methods of bioinformatics. Bioinformatics is more and more recognized as a helpful tool in Life Sciences in general, and recent developments in approaches recognizing lipid binding regions in proteins are promising in this respect. In this study a bioinformatics approach specialized in identifying lipid binding helical regions in proteins was used to obtain an Eisenberg plot. The validity of the Heliquest generated hydrophobic moment plot was checked and exemplified. This study indicates that the Eisenberg plot methodology can be transferred to another hydrophobicity scale and renders a user-friendly approach which can be utilized in routine checks in protein–lipid interaction and in protein and peptide lipid binding characterization studies. A combined approach seems to be advantageous and results in a powerful tool in the search of helical lipid-binding regions in proteins and peptides. The strength and limitations of the Eisenberg plot approach itself are discussed as well. The presented approach not only leads to a better understanding of the nature of the protein–lipid interactions but also provides a user-friendly tool for the search of lipid-binding regions in proteins and peptides

    Factors Associated with Revision Surgery after Internal Fixation of Hip Fractures

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    Background: Femoral neck fractures are associated with high rates of revision surgery after management with internal fixation. Using data from the Fixation using Alternative Implants for the Treatment of Hip fractures (FAITH) trial evaluating methods of internal fixation in patients with femoral neck fractures, we investigated associations between baseline and surgical factors and the need for revision surgery to promote healing, relieve pain, treat infection or improve function over 24 months postsurgery. Additionally, we investigated factors associated with (1) hardware removal and (2) implant exchange from cancellous screws (CS) or sliding hip screw (SHS) to total hip arthroplasty, hemiarthroplasty, or another internal fixation device. Methods: We identified 15 potential factors a priori that may be associated with revision surgery, 7 with hardware removal, and 14 with implant exchange. We used multivariable Cox proportional hazards analyses in our investigation. Results: Factors associated with increased risk of revision surgery included: female sex, [hazard ratio (HR) 1.79, 95% confidence interval (CI) 1.25-2.50; P = 0.001], higher body mass index (fo

    Influence of star rating and ownership structure on brand image of mainland China hotels

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    This study presents the brand image of hotels in Mainland China perceived by international travelers using a content-analysis of online hotel reviews. Cai\u27s (2002) 3A (Attributes, Affective and Attitudes) model of destination image was adapted to fit the hotel brand image context and used to code reviews of hotels in major Mainland Chinese cities. The study further hypothesized that brand image components were significantly influenced by ownership structures and ratings of hotels. Results showed that the three hotel brand image dimensions could be extracted from the hotel reviews and varied across hotel types and hotel star-ratings

    Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

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    Polygenic risk scores have shown great promise in predicting complex disease risk and will become more accurate as training sample sizes increase. The standard approach for calculating risk scores involves linkage disequilibrium (LD)-based marker pruning and applying a p value threshold to association statistics, but this discards information and can reduce predictive accuracy. We introduce LDpred, a method that infers the posterior mean effect size of each marker by using a prior on effect sizes and LD information from an external reference panel. Theory and simulations show that LDpred outperforms the approach of pruning followed by thresholding, particularly at large sample sizes. Accordingly, predicted R2 increased from 20.1% to 25.3% in a large schizophrenia dataset and from 9.8% to 12.0% in a large multiple sclerosis dataset. A similar relative improvement in accuracy was observed for three additional large disease datasets and for non-European schizophrenia samples. The advantage of LDpred over existing methods will grow as sample sizes increase

    Fracture fixation in the operative management of hip fractures (FAITH): an international, multicentre, randomised controlled trial

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    Background Reoperation rates are high after surgery for hip fractures. We investigated the effect of a sliding hip screw versus cancellous screws on the risk of reoperation and other key outcomes. Methods For this international, multicentre, allocation concealed randomised controlled trial, we enrolled patients aged 50 years or older with a low-energy hip fracture requiring fracture fixation from 81 clinical centres in eight countries. Patients were assigned by minimisation with a centralised computer system to receive a single large-diameter screw with a side-plate (sliding hip screw) or the present standard of care, multiple small-diameter cancellous screws. Surgeons and patients were not blinded but the data analyst, while doing the analyses, remained blinded to treatment groups. The primary outcome was hip reoperation within 24 months after initial surgery to promote fracture healing, relieve pain, treat infection, or improve function. Analyses followed the intention-to-treat principle. This study was registered with ClinicalTrials.gov, number NCT00761813. Findings Between Mar

    Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

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    Observation of WWWWWW Production in pppp Collisions at s\sqrt s =13  TeV with the ATLAS Detector

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    International audienceThis Letter reports the observation of WWWWWW production and a measurement of its cross section using 139 fb1^{-1} of proton-proton collision data recorded at a center-of-mass energy of 13 TeV by the ATLAS detector at the Large Hadron Collider. Events with two same-sign leptons (electrons or muons) and at least two jets, as well as events with three charged leptons, are selected. A multivariate technique is then used to discriminate between signal and background events. Events from WWWWWW production are observed with a significance of 8.0 standard deviations, where the expectation is 5.4 standard deviations. The inclusive WWWWWW production cross section is measured to be 820±100(stat)±80(syst)820 \pm 100\,\text{(stat)} \pm 80\,\text{(syst)} fb, approximately 2.6 standard deviations from the predicted cross section of 511±18511 \pm 18 fb calculated at next-to-leading-order QCD and leading-order electroweak accuracy

    Observation of WWWWWW Production in pppp Collisions at s\sqrt s =13  TeV with the ATLAS Detector

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    International audienceThis Letter reports the observation of WWWWWW production and a measurement of its cross section using 139 fb1^{-1} of proton-proton collision data recorded at a center-of-mass energy of 13 TeV by the ATLAS detector at the Large Hadron Collider. Events with two same-sign leptons (electrons or muons) and at least two jets, as well as events with three charged leptons, are selected. A multivariate technique is then used to discriminate between signal and background events. Events from WWWWWW production are observed with a significance of 8.0 standard deviations, where the expectation is 5.4 standard deviations. The inclusive WWWWWW production cross section is measured to be 820±100(stat)±80(syst)820 \pm 100\,\text{(stat)} \pm 80\,\text{(syst)} fb, approximately 2.6 standard deviations from the predicted cross section of 511±18511 \pm 18 fb calculated at next-to-leading-order QCD and leading-order electroweak accuracy

    Observation of WWWWWW Production in pppp Collisions at s\sqrt s =13  TeV with the ATLAS Detector

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    International audienceThis Letter reports the observation of WWWWWW production and a measurement of its cross section using 139 fb1^{-1} of proton-proton collision data recorded at a center-of-mass energy of 13 TeV by the ATLAS detector at the Large Hadron Collider. Events with two same-sign leptons (electrons or muons) and at least two jets, as well as events with three charged leptons, are selected. A multivariate technique is then used to discriminate between signal and background events. Events from WWWWWW production are observed with a significance of 8.0 standard deviations, where the expectation is 5.4 standard deviations. The inclusive WWWWWW production cross section is measured to be 820±100(stat)±80(syst)820 \pm 100\,\text{(stat)} \pm 80\,\text{(syst)} fb, approximately 2.6 standard deviations from the predicted cross section of 511±18511 \pm 18 fb calculated at next-to-leading-order QCD and leading-order electroweak accuracy
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