MELODI: Mining enriched literature objects to derive intermediates

Abstract

Background: The scientific literature contains a wealth of information from different fields on potential disease mechanisms. However, identifying and prioritizing mechanisms for further analytical evaluation presents enormous challenges in terms of the quantity and diversity of published research. The application of data mining approaches to the literature offers the potential to identify and prioritize mechanisms for more focused and detailed analysis. Methods: Here we present MELODI, a literature mining platform that can identify mechanistic pathways between any two biomedical concepts. Results: Two case studies demonstrate the potential uses of MELODI and how it can generate hypotheses f..