Aim: We aim to add real-world evidence to our existing database, expanding relationships between different biological entities and, where applicable, assign a value to these relationships, which would inform us as to whether or not the relationship predicts a disease.
Scientific Rationale: Biological databases, generally, are created in isolation of one another by individual research groups. Consequently, Biological databases do not include relevant interactions with other biological databases. We extract information from separate databases, standardize it, creating one interconnected database. By linking related entries from these databases together, we have identified relationships that would otherwise not be captured if the databases were used independently, creating a web of related biological concepts. UK Biobank is an important data source of numerical experimental information on phenotypes, biomarkers, and diseases, which would improve the quality of the information provided by the relationships in our database.
Public Health Impact: The addition of real-world evidence to our existing database would provide important information on protein expression and its relationship to normal vs. disease states not available in traditional biological databases. This information will help pharma companies better understand the biology and molecular mechanisms for their target of interest. Further, our internal report showed that as much as 80% of preclinical experiments failed because of poor experiment design; the new network that we aim to develop will play a direct role in helping scientists execute better experiments.
Project Duration: The project duration will be 36 months.