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INFOBIOMED

INFOBIOMED. NoE. WP 6.1 Pharmainformatics. Information Continuum. NHR. CRPS. Pathology. Pathway. Target. Ligand. Ontologies. Evolution. Complex Regional Pain Syndrome. Clinical to Pathway Erasmus/AZ Pathway to Target(s) Erasmus/AZ Target to Approved Drug AZ/IMIM

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INFOBIOMED

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  1. INFOBIOMED NoE WP 6.1 Pharmainformatics Information Continuum NHR CRPS Pathology Pathway Target Ligand Ontologies Evolution

  2. Complex Regional Pain Syndrome • Clinical to Pathway Erasmus/AZ • Pathway to Target(s) Erasmus/AZ • Target to Approved Drug AZ/IMIM • Target/Pathway to New Target Pathway (Erasmus)

  3. CRPS Critical Questions • How many pathways/mechanisms are we talking about? (Erasmus) • Can we associate or differentiate pathways? (Erasmus/AZ)(important to look for non-obvious associations) • Are there approved drugs + ligands in any associated or expanded pathways that could be identified (Erasmus/AZ/IMIM) • Verify in orignal population if drugs are being used – follow up with patients (Erasmus)

  4. CRPS Technical Questions & Gaps • How do we describe a patient? • Time-dependent observations as discrete units • Patient’s history as a discrete unit • Drug/target databases for all members of identified pathways • Pathway dbs need integration, redundancy checks, conflict resolutions, etc. • Ill-defined Pathways – data mining required? • Mixed clinical/literature data sources – best to combine them, but how??

  5. Nuclear Hormone Receptors • Ligand to Target AZ/IMIM • Target to Pathway AZ • Pathway/Target to Gene Erasmus • Genetic variations Erasmus

  6. NHR Critical Questions • Can we identify all relevant pathways? • Can we get enough relevant ligands and priveledged structures? Integration of 3D data when available? • Clinical data – literature first for PPAR compounds on the market? • Are there secondary targets that can be predicted from the structure of all PPAP compounds and how would these present as a phenotype? (Pathway-based hypothesis generation) • Can we associate a phenotype with an adverse event spectrum through a ligand interaction?

  7. NHR Technical Questions and Gaps • Can we link Chemogenomics tools with pathway tools • Can we effectively populate pathway tool – which one and who needs it? • Adverse events – do we need a standard vocabulary? • Are there other sources of data from patients taking PPAR compounds – national patient registers, clinical study populations......? What are the ’standard’ data sources and how can they be accessed and merged?

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