We’re at the dawn of a new era in discovering transformative medicines. At Roivant Discovery, the drug discovery engine for Roivant Sciences, we believe that the future of drug discovery hinges on the integration of leading-edge predictive science with excellence in experimental approaches.

Our capabilities are driven by our industry-leading QUAISAR computational platform, which combines preeminent physics-based simulation tools with machine learning to generate unprecedented predictive power that can tackle previously intractable challenges. The tight integration of the QUAISAR platform with our broad experimental capabilities and deep drug discovery experience enables the rapid design and optimization of new drugs to address a wide range of targets for diseases with high unmet need.

Designing Better Medicines: Atom-by-Atom

Roivant Discovery tackles today’s vast chemical space and challenging disease targets with our proprietary quantum physics-based simulations, bespoke AI/ML methods, in-house high-performance supercomputing and advanced biophysical methods to perform accurate, all-atom, highly predictive simulations at scale.

By combining computational breakthroughs with project-specific experimental data, our integrated team of chemists, biologists, physicists, biophysicists, computational scientists, software engineers and parallel computing can produce the most accurate three-dimensional dynamic atomistic model simulations to break through historical bottlenecks that have prevented the effective discovery of therapeutics.

We believe our end-to-end expertise, spanning the critical dimensions of both computation and lab-based experiments, will lead to the rapid design and discovery of new medicines that will improve the lives of patients.

Accurate All-Atom Physics-Based Simulations