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mnelsonxy edited this page Nov 19, 2018 · 2 revisions

Welcome to the BioDataEU_2018 wiki!

Overview

There has been exponential growth in the genomic data being produced to yield new insights into biology, and particularly with the intent to understand the role of genes and proteins and pathways in disease. Despite this, selecting protein targets for drug discovery still seems more of an art, guided by intuition and influenced by cognitive biases, than a reproducible science. Open Targets was established to bring the data and science together in a pre-competitive environment to help foster better early discovery decision making. In this dual session, we will introduce and engage the participants to the science of target selection. In this datathon, you will be introduced to the evidence types Open Targets is currently using to established relationships between genes and disease to aid in selecting and validating prospective drug targets.

Task 1: Predicting successful drug discovery

This task explores methods for using Open Targets data for predicting drug development success. We have shared, on provisional terms, data on target--indication success and failure in clinical development. You can use the Open Targets and other provided gene information to explore which factors are associated with clinical success and models to predict which target--indications are most likely to be successful.

Task 2: Finding new indications for existing drugs

Drug repurposing is the process of identifying potential alternate indications that might benefit from an existing drug. Since existing drugs are already proven to be safe and effective, this approach can have substantial cost savings, and, where related mechanisms underlie disease, can have a greater chance of being effective.

The aim of this hackathon task is to explore using publicly available data to identify and visualise potential drug repurposing opportunities. Simply, starting from an existing approved drug for a disease indication, can you identify diseases that are plausibly related through:

  • shared molecular targets,
  • shared phenotypes,
  • shared curated information,
  • or shared molecular pathways and mechanisms.

We provide data on target and disease relationships including target - disease evidence, the disease ontology we use (Experimental Factor Ontology), similar diseases and similar targets from the Open Targets Platform. We also provide information on approved drugs and drugs in clinical trials with their indications, and networks of relationships between targets based on protein - protein interactions which could be used as a proxy for mechanistic connections.

Data and Documentation

From this page, you will find links to the documentation and examples, specifically:

Further Information

Further information on approaches to repurposing can be found in the following publications and resources:

Some existing examples of repurposed drugs can be found below which could be useful positive controls for your approach.

drug_repurposing_curated.tsv

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