
The Opioid Drug Ontology (ODO) is a manually curated database that features assay-specific bioactivity data at opioid receptors, sourced from primary publications and online databases. It is implemented as a structured SQL relational database, designed to integrate and analyze relationships among bioassay entities, including compounds, assays, assay formats, cell lines, tissues, and organisms.
The Opioid Drug Ontology Data Portal (ODO-DP) is a publicly accessible, ontology-driven resource that applies FAIR principles to opioid bioassay data. The portal currently integrates >37,000 curated bioactivity data points across compounds, assays, and targets, using standardized metadata and ontology-linked annotations to improve interoperability and reuse.
Data were curated primarily from ChEMBL and the scientific literature, with expert review and automated QC to ensure accurate assay annotations, target mapping, and compound structures.
Search, filter, and download data by assay format (biochemical, cell-based, tissue-based, organism-based) and explore curated metadata such as endpoint values, experimental conditions, and compound properties.
🔍 Filtering instructions: see "UI Search and Filtering" in our GitHub README.
📘 Project repository: OpioidDrugOntology.github.io
Nicolette C. Ross
Primary Curator, Project Design, Development
Kathleen M. Jagodnik
Project Development
Lukas Rupprecht
Data Architecture
Ritik Bhandari
Data Architecture
Alon Bartal
Conceptualization, Project Development
Stephan C. Schürer
Conceptualization, Project Development
Department of Molecular and Cellular Pharmacology
University of Miami Miller School of Medicine
Miami, FL, USA
Supported by NIH grants R21DA048313, U01LM012630, and R01LM013391
Schürer Lab: schurerlab.org
Email: sschurer@med.miami.edu