Integrating heterogeneous data to facilitate COVID-19 drug repurposing
Lucia Prieto Santamaría, Marina Díaz Uzquiano, Esther Ugarte Carro, Nieves Ortiz-Roldán, Yuliana Pérez Gallardo, Alejandro Rodríguez‐González
Abstract
In the COVID-19 pandemic, drug repositioning has presented itself as an alternative to the time-consuming process of generating new drugs. This review describes a drug repurposing process that is based on a new data-driven approach: we put forward five information paths that associate COVID-19-related genes and COVID-19 symptoms with drugs that directly target these gene products, that target the symptoms or that treat diseases that are symptomatically or genetically similar to COVID-19. The intersection of the five information paths results in a list of 13 drugs that we suggest as potential candidates against COVID-19. In addition, we have found information in published studies and in clinical trials that support the therapeutic potential of the drugs in our final list.