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Integrative Pharmainformatics for Pathology Pathway Evolution

Explore CRPS and NHRs pathways, assess side effects, evolve ligands, and enhance semantic fingerprints in this study on medicinal chemistry. Collaborate to link pathways, analyze drugability, and map signaling pathways. Incorporate new AE/pathology vocabularies and ontology builders for comprehensive insights.

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Integrative Pharmainformatics for Pathology Pathway Evolution

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  1. Work Package 6.1‘Pharmainformatics’

  2. WP 6.1: Participants Johan van der Lei Erik van Mulligen Marissa de Mos Jordi Mestres Montserrat Cases Scott Boyer Kristina Hettne

  3. Case Study 1– CRPS Pathology Pathway Target Ligand Evolution Target Validation - Using BMI Link

  4. Case Study 2 - NHRs Information Continuum Pathology Pathway Target Ligand Evolution

  5. Chemical and Biological Profiling of an Annotated Compound Library Directed to the Nuclear Receptor Family Current Topics in Medicinal Chemistry 2005;5:763-772

  6. 2718 (2365) Lig 970 (771) Scf 453 (421) Frm NRacl update 06.03

  7. 2007 • NHRs • Interconnection and format of pathways • Assessment of side effect profile of diabetics taking thiazolidinediones - translational science issues with pathologies in animals • New AE/Pathology vocabularies for literature fingerprinting • Experiment with custom ontology builders and better semantic fingerprints • Accumulation of pathologies associated with each NHR

  8. Collaborations • WP6.2 • Pathway storage format (WP6.1, WP6.2, WP4, WP5) • Pathway analysis (ontology, granularity) • Underlying biology • Linking PPARG and interferon pathways • Analysis of drugability of combined pathway

  9. Collaborations • WP6.3 • Linking periodontitis and artherosclerosis • Map the signaling pathway from Lipopolysaccharide to Nuclear Factor kappa B

  10. Collaborations • WP3 – training challenge • Mark Mc Auley (University of Newcastle) • Mechanisms of cholesterol absorption

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