repositioning approved drugs
What is it about?
The concept behind this was simple - can we describe computational approaches that would be useful for repurposing drugs. The mention of neglected and rare disease brought attention to these areas in this context. We describe pharmacophores, databases searching, machine learning methods that could be used for repositioning alongside in vitro efforts.
Why is it important?
Using published data to build models that could be used to score libraries of FDA approved drugs represents one approach to finding new users for an endpoint for which there is data to build predictive models. The article also provides a large number of examples of molecules identified with new uses using low throughput or HTS or even computational approaches.
The following have contributed to this page: Dr Antony John Williams, Dr Sean Ekins, and Joel Freundlich