In this paper we have confirmed that data balance has an impact in DL proteochemometric target-compound activity models. Zakharov et al and Korkmaz arrived to a similar conclusion in a QSAR setting, the latter also using DNN models for classification. More specifically, Korkmaz stated that the higher the imbalance for a protein, the worse the model performance (measured by F1-score and MCC).