hero image
Webinar

How to triage drug targets with curated, causal relationships data

Upcoming
icon_0085_cc_gen_calendar-s
Jul 21, 2026
icon_0175_ls_qf_operating_hours-s
5:00 PM (GMT+0)
0Days0Hours0Minutes0Seconds

You will learn how to

icon_0153_cc_gen_source_okay-s

aggregate relevant findings across our comprehensive disease and gene ontologies

icon_0153_cc_gen_source_okay-s

cross-reference clinical trial results to focus your research on genes upstream or downstream of known drug targets

icon_0153_cc_gen_source_okay-s

filter causal relationships by the directionality of observed effects and combine these methods to accelerate the drug discovery process

About this webinar

In the rapidly evolving landscape of drug discovery, the ability to integrate high-quality research findings into knowledge graphs is paramount. For over twenty years, our scientists have curated the relationships between genes, drugs, diseases, and pathways to power Ingenuity Pathway Analysis. Now, these data are available via our QIAGEN Biomedical KB-HD, which provides direct access to flat files, SQL APIs in Python and R, and the ability to export knowledge graph objects for analysis in Neo4j. By demonstrating the underlying database live, we will show how the high-quality curated biomedical knowledge bases can be rapidly deployed, as well as how the underlying schema and ontologies could serve as a scaffold for integrating your own research. Overall, this demonstration will show the critical role of knowledge graphs in finding viable drug targets while avoiding potential adverse outcomes and toxicity.

Speakers

Fill out the form to take part in the event