Estimation of metabolic pathway systems from different data sources

IET Systems Biology
Eberhard O VoitLuís L Fonseca

Abstract

Parameter estimation is the main bottleneck of metabolic pathway modelling. It may be addressed from the bottom up, using information on metabolites, enzymes and modulators, or from the top down, using metabolic time series data, which have become more prevalent in recent years. The authors propose here that it is useful to combine the two strategies and to complement time-series analysis with kinetic information. In particular, the authors investigate how the recent method of dynamic flux estimation (DFE) may be supplemented with other types of estimation. Using the glycolytic pathway in Lactococcus lactis as an illustration example, the authors demonstrate some strategies of such supplementation.

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Citations

Nov 23, 2012·BMC Systems Biology·Gengjie JiaRudiyanto Gunawan
Jul 11, 2012·BMC Systems Biology·I-Chun Chou, Eberhard O Voit
Feb 24, 2016·Frontiers in Genetics·Sepideh Dolatshahi, Eberhard O Voit
Feb 9, 2013·Mathematical Biosciences·Eberhard O Voit
Nov 20, 2010·Molecular BioSystems·Luís L FonsecaEberhard O Voit
Sep 4, 2016·Mathematical Biosciences·Mojdeh Faraji, Eberhard O Voit
Mar 24, 2017·Bioinformatics·Mojdeh Faraji, Eberhard O Voit
Jan 1, 2012·Metabolites·Gengjie JiaRudiyanto Gunawan
May 26, 2017·Wiley Interdisciplinary Reviews. Systems Biology and Medicine·Eberhard O Voit

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