Quantum vs. Traditional HTS / CADD
CADD solutions can’t keep pace with the need for new cures
High throughput screening using Computer-Aided Drug Design (CADD) has revolutionized drug discovery. Yet CADD solutions are constrained by the computational power of classical computers, limiting their ability to explore the vast chemical space.
Typically, CADD can only handle a chemical space of less than 10 billion molecules, which is a tiny fraction of the potential candidates. Moreover, the iterative process of optimizing drug candidates is extremely costly and can take months or even years.
Quantum-Aided Drug Design (QuADD) offers a powerful alternative
Unlike classical computers, quantum computers harness quantum physics, allowing them to complete complex calculations at unprecedented speed and scale.
Changing the economics of molecule screening: QuADD vs. CADD
| CADD | QuADD | Why it matters | Bottom line results | |
|---|---|---|---|---|
| Chemical space explored | Largest implementations limited to 5–10B molecules | Can search a space of 1030, over twenty orders of magnitude larger | Searching a chemical space that is orders of magnitude larger gives computational teams a significantly better probability of finding the optimal molecule. | Discover hard-to-find molecules |
| Molecule optimization | Limited scale objective optimization | Large scale multi-objective optimization | Optimizing for all your target objectives in a single run eliminates months-long costly iterations and can shorten drug design cycles by many months or even years. | Accelerate discovery and design cycles |
