The processed ChEMBL29 high, medium and low quality, ExCAPE-DB high and low quality, Sharma, Christmann-Franck, Klaeger and Merget datasets were aggregated together. The first step consisted in ensuring that the activity of any compound-target pair was contained within 3 to 14 log units. Then compound-target pairs were uniquely identified by a concatenation of the compound's connectivity and of the target accession along with its mutations if any. All activities relating to the same compoundtarget pair were then filtered depending on the highest data quality available for that pair. For instance, if high quality activities were identified, any data point deemed of medium to low quality was filtered out. Considering censored activity values, the data was filtered out if contradictory relations were identified, if not the highest recorded activity was retained for lower bounds, and lowest for higher bounds. During this filtering step, all patents and journal articles associated with the activity of a compound-target pair were gathered whatever the quality and only the first published or filed was retained. Finally, activity values were aggregated and mean averages, medians, standard errors of the mean, standard deviations and mean average distances were calculated for each unique compound-target pair.