Insilico Medicine has an AI platform for pharmaceutical research and development. It offers tools like PHARMA.AI, PandaOmics, Chemistry42 and inClinico for finding targets, designing molecules and predicting clinical trial results. The tools can speed up drug discovery and lower costs compared with traditional methods, speeding up the search for life-saving medicines.
Another contender is Atomwise, which uses convolutional neural networks and large libraries of chemicals to find new small molecule drugs. Atomwise is good at handling poorly annotated targets and exploring large chemical spaces, so it's a scalable tool for finding new drugs. The company's platform is based on industry-leading AI and ML tools and has a large pipeline of projects in different disease areas.
Genesis Therapeutics offers a molecular AI platform called GEMS that combines deep learning with molecular simulation to generate new drug candidates. GEMS predicts potency, selectivity and ADMET properties by analyzing 3D spatial graphs and machine learning. The platform is designed to tackle challenging biological targets and secure breakthrough treatments for hard-to-treat diseases, so it's a good candidate for speeding up drug discovery.