Concerning bioactivity prediction, our results show that the choice of molecular fingerprint has a significant impact on the classification performance across datasets (Table ). While ECFP has been the de-facto standard fingerprint for encoding drug-like compounds, our analysis indicates that other encodings can match or outperform them -the most promising ones being ASP, LSTAR and MHFP.