The DILI understanding is relevant to elucidating molecular mechanisms, identifying novel biomarkers, and preventing drug side effects previously to pre-clinical and clinical interventions. The multiverse chemical space and the consensus chemical space representations (using fused data) enrich the information that could generate useful knowledge. For example, the drug design methods based on fused data could improve the next generation of toxicological and post-marketing decisionmaking approaches.