Christian Ebeling

Developing a “mechanism-based taxonomy” of Alzheimer´s and Parkinson´s Disease

The AETIONOMY concept foresees a primary role of the taxonomy in
i) describing and organising the indication-specific data in the data cube, in
ii) linking the data to disease models that are based on causal and correlative relationships and in
iii) support of reasoning over the knowledge that is explicitly represented in related ontologies or knowledge-based disease models.

The consortium has extensive and proven experience in the generation of disease-specific ontologies for NDDs, as demonstrated by the recent publication of the “Alzheimer´s Disease Ontology (ADO)”, and the generation, in collaboration with partners from the pharmaceutical industry, of disease ontologies representing substantial parts of the knowledge on Parkinson´s Disease, Multiple Sclerosis and Epilepsy.

AETIONOMY will not have the resources to validate the entire set of aetiologies linked to the taxonomy in the given time and within the budgetary limits. We have therefore carefully designed a validation strategy that will guide the final prospective clinical study meant to demonstrate the validity of the aetiology-based taxonomy. The consortium brings together four leading clinical centres with proven expertise in conducting such sort of studies; addressing effectively the need to validate the mechanism-based taxonomies for both, PD and AD. A dedicated AETIONOMY work package on ethical and legal aspects has a clear European perspective and scope and is set up in a way that reaches out beyond the AETIONOMY project and actively seeks the coordination with other projects funded under the same theme.

KosaDat - Korrelation von sensorischen und analytischen Daten

Vorhersage von Aromen und Qualität von Lebensmitteln durch die Anwendung statistischer Auswertungsalgorithmen und maschineller Lernverfahren auf chemische und sensorische Analysedaten.

Dieses Projekt wird in Zusammenarbeit mit der Firma Hachez und dem ttz (Technologie Transfer Zentrum) Bremerhaven durchgeführt und wird im Rahmen des "Zentralen Innovationsprogramm Mittelstand (ZIM)" von der AiF (Arbeitsgemeinschaft industrieller Forschungsvereinigungen "Otto von Guericke" e.V.) gefördert.

BioEquality Verbesserung der Sicherheit von gentechnisch hergestellten Medikamenten, Vergleichbarkeit von Biopharmazeutika und Biosimilars
Diese Projekt wird in der Zusammenarbeit mit der Firma A&M und MassMap durchgeführt und wird im Rahmen des "Zentralen Innovationsprogramm Mittelstand (ZIM)" von der AiF (Arbeitsgemeinschaft industrieller Forschungsvereinigungen "Otto von Guericke" e.V.) gefördert.

Risk of Rupture of Small Anterior Communicating Artery Aneurysms Is Similar to Posterior Circulation Aneurysms; Stroke, Vol. 44, No. 11. (01 November 2013), pp. 3018-3026, doi:10.1161/strokeaha.113.001667

The BRENDA Tissue Ontology (BTO): the first all-integrating ontology of all organisms for enzyme sources. Nucleic Acids Research 39(Database-Issue): 507-513 (2011)

Cross-Project Uptake of Biomedical Text Mining Results for Candidate Gene Searches. ERCIM News 2010(82): 45-46 (2010)

Workflows for Data Mining in Integrated multi-modal Data of Intracranial Aneurysms using KNIME. In Book of Abstracts of the R User Conference (useR!), page 165, Rennes, France, 2009.

SYSTOMONAS--an integrated database for systems biology analysis of Pseudomonas, Nucleic Acids Res. 2007 Jan;35(Database issue):D533-7.

BRENDA, AMENDA and FRENDA: the enzyme information system in 2007, Nucleic Acids Res. 2007 Jan;35(Database issue):D511-4.

BRENDA, the enzyme database: updates and major new developments, Nucleic Acids Res. 2004 Jan 1;32(Database issue):D431-3.

BRENDA: a resource for enzyme data and metabolic information, Trends Biochem Sci. 2002 Jan;27(1):54-6.

Sequencing, functional expression and characterization of rat NTPDase6, a nucleoside diphosphatase and novel member of the ecto-nucleoside triphosphate diphosphohydrolase family, Biochem J. 2000 Nov 1;351 Pt 3:639-47.