- Predict the behavior of chemical compounds in potential drugs and their pharmaceutical ADME (absorption, distribution, metabolism, and excretion) properties using neural networks for drug discovery.
- Identify molecules that are synthesizable, stable and refined for multiple criteria with the help of genetic programming and evolutionary algorithms.
- Collect, consolidate, structure and extract valuable entities from unstructured data. Find medications that can treat COVID-19 using knowledge graphs.
- Determine prospective target molecules from millions of candidate compounds. Improve the outcomes and quality of the compound analysis using high-throughput screening.
- Store data from virtual compound screening on cloud services, while scaling up and down to address the computational demands.