From big data to drug targets: Harnessing the power of literature
For the successful discovery and eventual launch of drugs, researchers need to use all of the available information. However, traditional literature searches of full-text articles are laborious and limiting research to abstracts carries the risk of missing essential data.
Fortunately, the development of advanced text-mining software is helping researchers to embrace the ever-expanding pool of literature. Capable of identifying and retrieving relevant information even in full-text content, these tools prevent information from being the limiting factor in R&D.
This article looks at the potential of emerging text-mining solutions for unlocking the full power of literature to inform decisions in pharmaceutical development.