If you're looking for a tool to accelerate drug development by predicting crystal structures for small molecule drugs, Lavo Life Sciences offers a standout solution. Their AI-accelerated crystal structure prediction system helps optimize solid-state formulations and avoid late-stage surprises by predicting crystal structures with high accuracy. With physically-constrained AI algorithms trained on large data sets, the system speeds up the drug development process and can account for environmental factors like temperature and pressure. It provides services for single molecule prediction, batch screening, and customized studies.
Another notable tool is Genesis Therapeutics’ GEMS platform. This AI-based solution combines deep learning and molecular simulations to predict properties and generate molecules, enabling the design of first- and best-in-class small molecule drugs. Genesis Therapeutics’ proprietary technologies like Dynamic PotentialNet for predicting potency, selectivity, and ADMET properties make it an excellent choice for researchers and developers looking to find and develop new treatments for various diseases. The platform has shown promising results in predicting ADMET properties, making it a valuable asset for pharmaceutical companies and academic labs.