The drug permeability through the BBB barrier can be characterized quantitatively by the LogBB value, log PS value or its logCSF value . Certain reports indicate that logCSF is a more accurate predictor of CNS drug effectiveness . However, experimental data for LogBB is more extensive and machine learning methods are more effective when large data sets are available . Therefore, LogBB datasets are utilized by most computational methods for prediction of BBB permeability . The current study has also utilized this approach. The method described in this work, can be easily adapted to utilize logCSF data for increasing the potential effectiveness of drugs designed by this method.