Identifying evidence implicating drug targets with diseases or phenotypes constitutes one of the pivotal challenges of the Open Targets Platform. Several steps are required to aggregate, integrate, validate, and score the collected information, in order to contextualise and weight the underlying evidence. The Platform provides a framework to allow the interactive or programmatic interrogation of target-disease evidence.
Abbreviations: D = disease/phenotype; Dr = drug; EFO = Experimental Factor Ontology; T = target
The Open Targets data model focuses on three main entities:
These entities are annotated with a variety of public data sources, as well as more information about the relationships between them. A more detailed description of the annotations is provided throughout the documentation. Some examples are:
A pivotal component of the Platform is the integration of potentially causal evidence linking targets and diseases. The definition of the Platform evidence as well as expanded documentation on each of the data sources are available in the Target - disease evidence section.
In order to contextualise the information, all the pieces of evidence referring to unique target - disease pairs are aggregated in the form of associations. Expanded documentation on how associations are built and scored is available in the Target - disease associations section.
To start addressing therapeutic hypotheses users can find alternative ways to interface with the data:
- Web interface at platform.opentargets.org - the platform web application provides a UI to answer and wide range of therapeutic hypothesis. Starting from the home page search box, users can navigate to entity pages, associations page or evidence page to answer a wide range of therapeutic hypothesis.
- Data access. More complex hypothesis might require advance interfaces or programmatic access. The Platform aims to deliver a number of alternative ways to access data to support the most intensive queries.