Graphen Artificial Intelligence
Using the newest drug database to find out suitable drug candidates and predict affinity (Ki/Kd/Ka) for druggable target.
Drug reproposing is the fastest way to find the most effective and safest drug for clinical usage when diseases breaks out.
Many researchers and companies build small molecular databases to support drug development. Graphen Atom trained a powerful drug target affinity module to determine the efficacy of drug from opensource databases. Moreover, Graphen Atom can estimate safetiness based on chemical structure and human absorption, utlizes its Drug Safe and Effective Module to predict ADME, side effects and other chemical properties.
For drug developability, we use our retrosynthesis module.
Graphen Druomics' small molecular drug reproposing pipeline makes affinity prediction, safety prediction and retrosynthesis prediction.
