Schrödinger uses physics-based simulations carried out on the cloud in combination with machine learning to accelerate the discovery of new medicines and materials.
Drug discovery is an arduous process—expensive and time-consuming, with long odds for success. Traditionally, chemists and pharmaceutical scientists have chosen which candidate drugs to synthesize and test based on their knowledge of existing pharmaceuticals, research about the disease they are attempting to treat, and their intuition about what seems most likely to work. The scientists at Schrödinger aim to disrupt that paradigm. Their vision: to transform the way researchers discover new therapeutics and materials through the power of computational modeling.
Machine learning
The ultimate goal: To get important new medicines to patients more quickly and with less up-front expense.