Developing treatments involving combinations of drugs is a promising approach for complex or multifactorial disorders. Combination therapies can:
- increase efficacy
- reduce adverse reactions
- help overcome resistance
However, even a small collection of compounds can generate a large number of possible combinations and relative doses, and it isn’t feasible to test all of these experimentally. It is crucial to also understand the known tolerability and pharmacokinetic data, alongside current dosage forms in order to make the best combination predictions.
How we can work together
Data analytics and machine learning approaches can predict the behaviour of combined compounds and focus on specific beneficial combinations. Medicines Discovery Catapult can help you develop a selected shortlist of potential combinations, using:
- internal informatics
- partnering and commercial expertise
- extensive proprietary databases and algorithms
This will create a shortlist for either preclinical or clinical settings.