All software, webservers and databases used for this work were free. Miniconda was used for python library management. Python, Numpy, Pandas, Scipy and Sklearn libraries were used for data preparation and statistical analysis . PLSRegression and cross_val_predict functions from Sklearn library were used for PLS-regression analysis. Matplotlib library was used for plots. RDkit was used for calculation of physico-chemical descriptors .