The second method we propose is applicable in cases where a pre-specified scoring component for a specific property is not available but, instead, the values for the molecular property of interest are available by querying a chemist and in addition potentially in a small experimental dataset. The method learns a new predictive model from the chemist's feedback based on the property values, and the resulting component can then subsequently be used as one of the objectives in MPO.