ZBH - Center for Bioinformatics
Hit Dexter 2.0: How likely is my compound a frequent hitter?
Hit Dexter is a machine learning approach to estimate how likely a small molecule is to trigger a positive response in biochemical assays. The models were derived from a dataset of 250,000 compounds with experimentally determined activity for at least 50 different protein groups. For further detail see
Hit Dexter 2.0: Machine-Learning Models for the Prediction of Frequent Hitters
or upload a file with a list of SMILES (for examples see
or draw your own molecule