Despite regulatory vigilance, unwanted toxicity and other adverse side effects of widely used drugs remain a major public health concern. In-Silico Adverse Effect Prediction in Preclinical Drug Discovery provides a detailed overview of the computational approaches that can be used, starting in early discovery research, to predict adverse drug reactions. Covering a multidisciplinary topic of significant interest, the text allows non-specialists to attain a basic understanding of how adverse side effects contribute to drug toxicity (and disease), how they can be predicted, what the data mean, and how such efforts will improve modern drug discovery programs.