One of Nvidia-backed tech giants is actually leading the industry in taking drug discovery to a new level. By operating on the forefront of computer science and artificial intelligence, using cutting-edge methods to design novel therapeutics, they aim to speed up drug development to effectively address new diseases for which no treatments yet exist.
Conventional drug discovery is notoriously slow, expensive and uncertain. The process requires numerous lab experiments, the production of numerous compounds and grueling testing rounds. SandboxAQ’s approach is designed to shorten that timeline and improve hit rates by using AI to virtually simulate keep interactions, forecast drug efficacy, and optimize compound design at an unprecedented scale and speed.
“We are standing on the precipice of a new era in pharmaceutical innovation,” said a representative of SandboxAQ. “AI combined with the quantum-inspired approach allows us to search in chemical spaces that used to be inexplicable, find the candidate drug in the most efficiency way, get the instruction of the biological mechanisms of a fundamental level.
Our partnership with Nvidia gives us the computational power and deep learning experience needed to address these grand challenges.
The key to the whole effort is the participation of Nvidia, whose state-of-art high-performance computing infrastructure and AI platforms are used by SandboxAQ to produce complex simulations and analyze data.
This complementarity enables the rapid iteration and testing of potential drug molecules in silico, greatly minimizing the reliance on expensive and time-consuming in vitro and in vivo experiments. The AI models will be able to project drug binding to a target protein, its toxicity, its metabolic pathways — all before it ever sets foot in a lab.
- Examples of key areas where the technology from SandboxAQ is contributing include:
- Target Identification: Quickly find disease-related proteins or pathways.
- Lead optimization: Designing and improving drug candidates for better potency and selectivity.
- Material Science for Drug Delivery: Identifying new materials for better drug encapsulation and delivery.
- Personalized Medicine: This could allow therapies based on a person’s specific genetics.
This joint project from SandboxAQ and Nvidia is a perfect example of how today’s technology can be used to solve the world’s most urgent health problems — and it hints at a future in which life-saving drugs could be found and delivered in record time.