Case Study: Natural Language Processing (NLP) with Open Data for Drug Repositioning in Glioblastoma Therapy

Abstract

The development and discovery of new drugs is a long, costly and risky endeavour with low rate of success. It is a well-known practice to identify new uses for already existing drugs or known active compounds, referred to as “drug repositioning’’ or “drug repurposing This case study uses NLP techniques and open data sources to explore their potential in identifying drugs for glioblastoma therapy beyond the obvious choices documented in established databases like DrugBank.