Abstract
We describe Meds tract Plus, a resource for mining relations from the Medline bibliographic database that is currently under construction. It was built on the remains of Meds tract, a previously created resource that included a bio-relation server and an acronym database. Meds tract Plus uses simple and scalable natural language processing modules to structure text, is designed with reusability and extendibility in mind, and adheres to the philosophy of the Linguistic Annotation Framework. We show how Meds tract Plus has been used to provide seeds for a novel approach to inferring transcriptional regulatory networks from gene expression data.