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Sökning: WFRF:(Di Cera Enrico)

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1.
  • Gianni, Stefano, et al. (författare)
  • Mechanism of Na(+) binding to thrombin resolved by ultra-rapid kinetics
  • 2007
  • Ingår i: Biophysical Chemistry. - : Elsevier BV. - 0301-4622 .- 1873-4200. ; 131:1-3, s. 111-114
  • Tidskriftsartikel (refereegranskat)abstract
    • The interaction of Na(+) and K(+) with proteins is at the basis of numerous processes of biological importance. However, measurement of the kinetic components of the interaction has eluded experimentalists for decades because the rate constants are too fast to resolve with conventional stopped-flow methods. Using a continuous-flow apparatus with a dead time of 50 micro s we have been able to resolve the kinetic rate constants and entire mechanism of Na(+) binding to thrombin, an interaction that is at the basis of the procoagulant and prothrombotic roles of the enzyme in the blood.
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2.
  • Meyer, Peter A., et al. (författare)
  • Data publication with the structural biology data grid supports live analysis
  • 2016
  • Ingår i: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 7
  • Tidskriftsartikel (refereegranskat)abstract
    • Access to experimental X-ray diffraction image data is fundamental for validation and reproduction of macromolecular models and indispensable for development of structural biology processing methods. Here, we established a diffraction data publication and dissemination system, Structural Biology Data Grid (SBDG; data. sbgrid. org), to preserve primary experimental data sets that support scientific publications. Data sets are accessible to researchers through a community driven data grid, which facilitates global data access. Our analysis of a pilot collection of crystallographic data sets demonstrates that the information archived by SBDG is sufficient to reprocess data to statistics that meet or exceed the quality of the original published structures. SBDG has extended its services to the entire community and is used to develop support for other types of biomedical data sets. It is anticipated that access to the experimental data sets will enhance the paradigm shift in the community towards a much more dynamic body of continuously improving data analysis.
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