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Pharma

Drug Interaction Discovery

Identifying novel molecular interactions

Overview

Application of machine learning models to identify novel drug-target interactions, discovering 3 previously unknown interaction mechanisms.

Key Results

  • Identified 3 novel drug-target interactions
  • Predicted binding affinities within 0.5 kcal/mol of experimental values
  • Reduced screening time from months to weeks

References

Rifaioglu, A. S., et al. (2019). Recent applications of deep learning and machine learning on drug discovery. Drug Discovery Today, 24(3), 814-820.