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Mutation Miner

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Overview

The Mutation Miner project was initiated in 2004 by Christopher J.O. Baker (UNB) and René Witte.
NLP-extracted textual annotations mapped onto a protein's structure
Mutation Miner targets users for a specific area in biology: protein engineers. Information about protein mutations described in full-text research papers is extracted through a text mining subsystem and mapped to protein databases using a sophisticated pipeline of bioinformatics tools. The end result is transferred to a 3D-visualization of a particular molecule, showing information extracted from documents in a spatial context meaningful to bio-engineers. Mutation Miner was one of the first systems that goes beyond simply delivering information extracts by integrating a complete natural language subsystem into a biologically relevant application, thereby combining text analysis with bioinformatics algorithms.