PreBIND and Textomy mining the biomedical literature for protein-protein interactions using a support vector machine (2003)

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by Bmc Bioinformatics , Ian Donaldson , Joel Martin , Berry De Bruijn , Cheryl Wolting , Brigitte Tuekam , Shudong Zhang , Berivan Baskin , Gary D Bader , Vicki Lay , Katerina Michalickova , Tony Pawson , Christopher Wv Hogue

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@MISC{Bioinformatics03prebindand,
    author = {Bmc Bioinformatics and Ian Donaldson and Joel Martin and Berry De Bruijn and Cheryl Wolting and Brigitte Tuekam and Shudong Zhang and Berivan Baskin and Gary D Bader and Vicki Lay and Katerina Michalickova and Tony Pawson and Christopher Wv Hogue},
    title = {PreBIND and Textomy mining the biomedical literature for protein-protein interactions using a support vector machine},
    year = {2003}
}

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Abstract:

Background: The majority of experimentally verified molecular interaction and biological pathway data are present in the unstructured text of biomedical journal articles where they are inaccessible to computational methods. The Biomolecular interaction network database (BIND) seeks to capture these data in a machine-readable format. We hypothesized that the formidable task-size of backfilling the database could be reduced by using Support Vector Machine technology to first locate interaction information in the literature. We present an information extraction system that was designed to locate protein-protein interaction data in the literature and present these data to curators and the public for review and entry into BIND.

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