Drug development is a complicated, costly and time-consuming process , where data science and machine learning can bring decisive advantages . For pharmaceutical business, it takes more than ten years and often more than a billion euros to proceed from the first step, target identification, via drug discovery, development and testing, to the final step: drug approval. During this process about 89 % of the candidate molecules fail to become a drug (Kubiniy 2003). Among the