A Computational Approach on Drug Repositioning

Abstract

The practise of repositioning drugs has been evolving for decades and is gaining popularity on a global scale. because it takes less time, spends less money, and—most importantly—can find novel ways to employ existing medications to treat orphan diseases. There are many research papers on this topic, however the computational method to drug repositioning has not received much comprehensive examination, which is why this essay is prompted. This review examines six different types of computational approach-related methods. According to the study, the drug-based approach is used to determine the precise connection between chemical structure and biological function. However, it is constrained by the numerous and intricate connections that link a medicine to a certain condition. However, disease-based techniques that look for similarities across diseases are able to locate novel medications. This chapter will introduce three major methods for discovering new applications for existing drugs: using gene expression signatures to find similarities, a computational approach by DrugPredict, and a machine-learning approach via data integration.