Recent studies have demonstrated that combining different data types increased the description and prediction of DILI events. For example, He et al. demonstrated that the combination of physicochemical and topological descriptors improved the accuracy of predictive DILI models . remarked that the compounds associated with DILI events could be classified using mainly by anatomical (e.g. drugs used against the nervous system, anti-infectives for systemic use, antineoplastic immunomodulating agents, alimentary tract, and metabolism agents) and therapeutical features (e.g. drugs that act as antidepressants, anti-inflammatory, antirheumatic and antivirals products) .