SQM scoring is computationally intractable at the scale of today's ultra-large VS libraries. Active Learning technology offers a solution to this problem without compromising significantly the accuracy . In that scheme, an ML model is trained using as input features rapidly computed 2D molecular fingerprints and as labels the respective SQM-ML scores.