Generative AI
There are estimated to be about 10 ^ 60 candidate drug molecules. If a trillion molecules were tested every second since the beginning of the universe using virtual screening, this would hardly touch the surface of this vast molecular space. Generative AI can be trained to search the entire space of candidate drug molecules much more efficiently.
Quantum computing
Quantum molecular modelling delivers far more accurate predictions of pharmacological properties than classical methods — ensuring generated molecules behave as predicted. This leads to:
- Greater efficacy & fewer side effects
- Higher clinical trial success rates
- Faster, cheaper development cycles