作者: Ana Alão Freitas , Isabel Rocha , Miguel Rocha , Hugo Costa
DOI: 10.2390/BIECOLL-JIB-2015-282
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摘要: To better understand the dynamic behavior of metabolic networks in a wide variety conditions, field Systems Biology has increased its interest use kinetic models. The different databases, available these days, do not contain enough data regarding this topic. Given that significant part relevant information for development such models is still spread literature, it becomes essential to develop specific and powerful text mining tools collect data. In context, work as main objective tool extract, from scientific parameters, their respective values relations with enzymes metabolites. approach proposed integrates novel plug-in over framework @Note2. end, pipeline developed was validated case study on Kluyveromyces lactis, spanning analysis results 20 full documents.