Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/38891

TitleExtracting kinetic information from literature with KineticRE
Author(s)Freitas, Ana Alão
Costa, Hugo
Rocha, Miguel
Rocha, I.
Issue date3-Nov-2015
PublisherInformationsmanagement in der Biotechnologie (IMBIO)
JournalJournal of Integrative Bioinformatics
CitationFreitas, Ana Alão; Costa, H.; Rocha, Miguel; Rocha, I., Extracting kinetic information from literature with KineticRE. Journal of Integrative Bioinformatics, 12(4), 282, 2015
Abstract(s)To better understand the dynamic behavior of metabolic networks in a wide variety of conditions, the field of Systems Biology has increased its interest in the use of kinetic models. The different databases, available these days, do not contain enough data regarding this topic. Given that a significant part of the relevant information for the development of such models is still wide spread in the literature, it becomes essential to develop specific and powerful text mining tools to collect these data. In this context, this work has as main objective the development of a text mining tool to extract, from scientific literature, kinetic parameters, their respective values and their relations with enzymes and metabolites. The approach proposed integrates the development of a novel plug-in over the text mining framework @Note2. In the end, the pipeline developed was validated with a case study on Kluyveromyces lactis, spanning the analysis and results of 20 full text documents.
TypeArticle
URIhttp://hdl.handle.net/1822/38891
DOI10.2390/biecoll-jib-2015-282
ISSN1613-4516
e-ISSN1613-4516
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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