A Systematic Review on Drug Interaction Prediction Using Various Methods to Reduce Adverse Effects

Abstract

Interaction prediction between the drugs is a preeminent task. Drug - drug interaction (DDI) causes serious effects to human life. The adverse effect can result in death when the interaction is not known. Predicting all DDI is a challenging mission as it requires much time. Health care professionals and care givers may not be aware of all potential drug interactions. Many studies have been carried out to predict the DDI in meticulous way. Drug banks play the major role in providing information about the drugs; through drug banks we could predict the adverse effect while using two or more drugs together and can avoid the adverse reaction caused by DDI. In this article, the authors have compared different approaches used for predicting the interactions, analyzed with the methods and a comparison is provided for understanding the methods used in each research work.