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Título : MbT-Tool: An open-access tool based on Thermodynamic Electron Equivalents Model to obtain microbial-metabolic reactions to be used in biotechnological process
Autor : Araujo Granda, Pablo Alejandro
Gras, Anna
Ginovart, Marta
Palabras clave : RENDIMIENTO MICROBIANO
TERMODINÁMICA
METABOLISMO MICROBIANO
TRANSFERENCIA DE ENERGÍA
Fecha de publicación : 2016
Editorial : Amsterdam: Elsevier
Citación : Araujo Granda, Pablo; Gras, Anna y Ginovart, Marta (2016). MbT-Tool: An open-access tool based on Thermodynamic Electron Equivalents Model to obtain microbial-metabolic reactions to be used in biotechnological process. Computational and Structural Biotechnology Journal (14): pp. 325–332
Resumen : Modelling cellular metabolism is a strategic factor in investigating microbial behaviour and interactions, especially for bio-technological processes. A key factor for modelling microbial activity is the calculation of nutrient amounts and products generated as a result of the microbial metabolism. Representing metabolic pathways through balanced reactions is a complex and time-consuming task for biologists, ecologists, modellers and engineers. A newcomputational tool to represent microbial pathways through microbial metabolic reactions (MMRs) using the approach of the Thermodynamic Electron Equivalents Model has been designed and implemented in the open-access framework NetLogo. This computational tool, called MbT-Tool (Metabolismbased on Thermodynamics) can write MMRs for different microbial functional groups, such as aerobic heterotrophs, nitrifiers, denitrifiers, methanogens, sulphate reducers, sulphide oxidizers and fermenters. The MbT-Tool's code contains eighteen organic and twenty inorganic reduction-half-reactions, four N-sources (NH 4+,NO3−) to biomass synthesis and twenty-four microbial empirical formulas, one of which can be determined by the user (C ). MbT-Tool is an open-source program capable of writing MMRs based on hermodynamic concepts, which are applicable in a wide range of academic research interested in designing, optimizing and modelling microbial activity without any extensive chemical, microbiological and programing experience.
URI : http://www.dspace.uce.edu.ec/handle/25000/8120
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