Projekt

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Laboratory instruments can now detect signals from thousands of metabolites in biological samples. With these data, goals that were beyond reach, such as identifying food intake biomarkers or compounds formed in the gut microbiota, become reachable. But major obstacles remain. Currently no more than 20% of the overall metabolites can be identified through spectral analysis of their fragments, and this is really the main bottleneck for innovation. ELution's main goal is to implement a new multidisciplinary concept to enhance annotation of metabolites by (a) integrating existing metabolomics platforms for more accurate combined annotation, and (b) supplementing mass spectral databases with synthetic mass spectra from quantum chemistry-based simulation methods. This highly improved annotation of metabolites will allow to create new possibilities in data analysis and knowledge discovery. By combining multidisciplinary expertise in one lab, the applicants propose a synergy with the potential of a large impact in nutrition, and human health in general.

• Edoardo Di Napoli, Ph. D.

  Forschungszentrum Jülich GmbH
  Jülich Supercomputing Centre (JSC)
  Institute for Advanced Simulation (IAS)
  Simulation and Data Laboratory
  "Quantum Materials" (SDLQM)
  Jülich
  

• Prof. Rasmus Bro

  University of Copenhagen
  Faculty of Science
  Department of Food Science
  Chemometrics Group
  Frederiksberg
  Dänemark
  

• Prof. Dr. Lars Ove Dragsted

  University of Copenhagen
  Department of Nutrition, Exercise
  and Sports
  Preventive and Clinical Nutrition
  Frederiksberg C
  Dänemark
  

• Prof. Dr. Stefan Grimme

  Universität Bonn
  Mulliken Center for Theoretical Chemistry
  Institut für Physikalische und Theoretische Chemie
  Bonn