Mutation Miner - Textual Annotation of Protein Structures


Protein structure visualization tools render images that allow the user to explore structural features of a protein. Context specific information relating to a particular protein or protein family is not easily integrated and must be uploaded from databases or provided through manual curation of input files. We describe a mixed natural language processing and protein sequence analysis approach for the retrieval of mutation specific annotations from full text articles for rendering with protein structures.


Christopher J. O. Baker and René Witte, Mutation Miner - Textual Annotation of Protein Structures. In: 5th Annual CERMM (Centre for Research in Molecular Modeling) Symposium, February 11-13, 2005, Concordia University, Montréal, Québec, Canada. Abstracts, p. 29.

Bibtex entry (also for download):

  author = 	 {Christopher J. O. Baker and Ren{\'e} Witte},
  title = 	 {{Mutation Miner -- Textual Annotation of Protein Structures}},
  booktitle =	 {5th CERMM Annual Symposium},
  pages =	 {29},
  year =	 {2005},
  address =	 {Concordia University, Montr{\'e}al, Qu{\'e}bec, Canada},
  month =	 {February 11--13},
  organization = {Centre for Research in Molecular Modeling}

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For downloading our open source software, please refer to the successor project, Open Mutation Miner (OMM).