Affiliation:
1. Department of Translational and Precision Medicine Sapienza University of Rome Rome Italy
2. Institute for Systems Analysis and Computer Science “Antonio Ruberti”, National Research Council Rome Italy
3. Department of Computer, Control and Management Engineering “Antonio Ruberti” Sapienza University of Rome Rome Italy
Abstract
Identifying and understanding the relationships between drug intake and adverse effects that can occur due to inadvertent molecular interactions between drugs and targets is a difficult task, especially considering the numerous variables that can influence the onset of such events. The ability to predict these side effects in advance would help physicians develop strategies to avoid or counteract them. In this article, we review the main computational methods for predicting side effects caused by drug molecules, highlighting their performance, limitations and application cases. Furthermore, we provide an overall view of resources, such as databases and tools, useful for building side effect prediction analyses.
Funder
Sapienza Università di Roma