Extracting kinetic information from literature with KineticRE

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.

Citric acid production by Y. lipolytica W29 from crude glycerol: strain improvement by mutagenesis

[Excerpt] Citric acid, an important and versatile organic acid extensively used in several industries, is originally produced by Aspergillus niger in submerged fermentation from molasses [1]. However, Yarrowia lipolytica have been studied and demonstrate a great potential as citric acid producer from several carbon sources [1–5] including crude glycerol, a low cost byproduct from the biodiesel industry [6]. The simultaneous production of the isomer isocitric acid is the major problem in using this yeast in the citric acid production. (...)