Webinar: Application of an Integrated Systems Pharmacology Approach at Lilly to Aid the Prediction of Adverse Drug Reactions
Reliable prediction of potential ‘on-target’ and ‘off-target’ Adverse Drug Reactions (ADRs) for new drugs in development is a goal in early discovery. This webinar presents an integrated systems pharmacology approach using a combination of bioinformatics tools, including Metabase, I2E, and OpenVigil. Lilly wanted to assess potential safety liabilities of a new drug, by understanding the landscape of information about other drug therapies that target proteins in the same pathway.
To accomplish this, high quality annotated databases supported with text and data analytics and visual descriptive techniques were used to collate information about upstream and downstream proteins in a pathway along with tissue distributions. In addition, clinical information for other drugs and their ADRs known to interact with the proteins in that same pathway were integrated. A target gene was selected for a proof-of-concept evaluation to test this systems pharmacology pathway approach, with the aim to complement and inform additional safety assessments to conduct during drug development.
What will you learn?
- How natural language processing (NLP) text mining can extract structured data from unstructured text in scientific papers, clinical trial databases, FDA drug labels
- How Lilly used a variety set of applications (including I2E, Metabase, OpenVigil) to extract and integrate the most up-to-date published knowledge for drug targets and associated adverse events, to provide potential risk liability predictions.
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