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Concordia University
Montréal, Canada

Enriching Protein Structure Visualizations with Mutation Annotations Obtained by Text Mining Protein Engineering Literature

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TitleEnriching Protein Structure Visualizations with Mutation Annotations Obtained by Text Mining Protein Engineering Literature
Publication TypeConference Paper
Year of Publication2004
AuthorsBaker, C. J. O., and R. Witte
Refereed DesignationRefereed
Conference NameThe 3rd Canadian Working Conference on Computational Biology (CCCB'04)
Date PublishedOctober 4
Conference LocationMarkham, Ontario, Canada
KeywordsProSAT, Protein Function, Protein Structure Annotation, text mining, Xylanase
Abstract

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 sequence analysis based approach for the retrieval of mutation specific annotations from full text articles for rendering with protein structures.

Notes

Co-located with IBM CASCON.

URLhttps://www-927.ibm.com/ibm/cas/publications/TR-74.203/8/TR-74-203-8.pdf
Copyright

Copyright © 2004 Christopher Baker and René Witte.

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