Symposium on the “Human Brain PHARMACOME”

PHARMACOMEs are way to represent complex biological, chemical and pharmaceutical data and knowledge in a structured, searchable and interpretable form. PHARMACOMEs thus integrate relevant data and knowledge about biological processes, pathophysiology mechanisms and the known chemistry that modulates both. PHARMACOMEs also allow modelling these known modulations in order to predict future compounds as candidate novel modulators.

The purpose of the symposium is to introduce the PHARMACOME concept and to highlight the utility of this specialised knowledge graph for the identification of druggable pathophysiology mechanisms. The 1^st Fraunhofer Symposium on PHARMACOMEs will focus on the use of a dedicated graph model, the Human Brain PHARMACOME, in target- and candidate drug- identification. We will provide an overview on:

• Using information extraction technologies (on scientific publications and patents),
  “text-2-graph” technologies and dynamic data fusion for PHARMACOME generation
• Applying AI-based network algorithms and BiKMi, a dedicated PHARMACOME user interface,
  to identify pathophysiology mechanisms that are suitable for targeting 
• Development of novel strategies for high throughput and high content screening & experimental validation of in silico hypotheses
• Provide a walkthrough on a well-defined example in the Alzheimer research context
  (here: targeting the regulation of post-translational modification of TAU)
• Using PHARMACOMEs for future drug targeting and drug repurposing approaches
  (e.g. proximity drug strategies)

• Computational biologists and computational chemists
• Pharmaceutical industry and biotech technology scouts
  
• AI experts involved in target discovery and drug development
  
• Biochemical and cellular assay specialists from industry and academia