Biomedical research relies on the ability to contextualize
experimental data in biological contexts. While high throughput technologies generate vast amounts of omics data, deriving actionable insight requires trusted, well structured knowledge of molecular mechanisms, regulatory relationships, and disease associations.
To that end, on this webinar we will cover reproducible, programmatic workflows that support key discovery and translational use cases leveraging a manually curated molecular interaction database, containing
over 5 million high quality, directional, and evidence annotated interactions between proteins, complexes, RNAs and small molecules. Use cases will include:
- Mechanism of action reconstruction
- Biomarker characterization
- Target assessment
- Biological interpretation of omics data
Attendees will gain a practical understanding of how molecular interaction knowledge can be integrated into AI-powered analysis pipelines and enabling transparent and explainable insights that go beyond black box analytics.