ChemREST is the only database that provides for several million compounds, nearly 350 physico-chemical
properties including 3D properties. Data are accessible via the REST protocol that meet FAIR data standards.
In the big data era, these valuable data provided to the scientific community can now be used to train
sophisticated machine learning models to predict compound affinity, ADME/tox properties or to carry out de novo
drug design using Deep Learning generative models.