A novel quantum-based computational process for drug discovery and design was used to identify potential novel liver-stage anti-malarial therapeutic molecules. The approach combined the latest big-data advances in high-throughput bioassay development with fundamental scientific knowledge to generate new pharmaceutical leads. Several molecules with no previous association with anti-parasitical activity were identified. These molecules and there use in prevention and/or treatment of Plasmodium infections are provided.
