Special Issue "Metabolism and Systems Biology"
A special issue of Metabolites (ISSN 2218-1989).
Deadline for manuscript submissions: closed (31 January 2015)
Dr. Christoph Kaleta (Website)
Research Group Theoretical Systems Biology, Friedrich-Schiller-Universität Jena, Raum 15N10, Leutragraben 1, D-07743 Jena, Germany
Interests: analysis of metabolic and regulatory networks; system biology
Dr. Ines Heiland (Website)
Arctic University of Norway, Department of Arctic and Marine Biology, Faculty of Biosciences, Fisheries and Economics, Naturfagbygget, Dramsvegen 201, 9037 Tromsø, Norway
Interests: NAD-metabolism; tryptophan metabolism; circadian clocks; metabolic modelling; modelling of dynamic processes
Systems biological models of metabolism are widely used in biotechnology, pharmacy and medicine to optimise metabolite production, to predict drug targets or to understand metabolic discrepancies in diseases. Moreover, they have been shown to be key ingredients in the analysis of largescale data sets including transcriptomic, proteomic, fluxomic, metabolomic and genomic data sets. However, despite the success of these models, we are still very far from understanding the interaction between metabolism and signal transduction and models integrating both processes are still rare. This is in part due to the fact that different methods are used both in modelling as well as in experimental approaches targeting these pathways. We furthermore face the problem that data generation by far outpaces model construction efforts, which is especially true when it comes to kinetic models as the construction of these models is extremely time consuming. Thus, new approaches are required that combine the accuracy of kinetic models with semi automatic, less time consuming reconstruction methods as used for network based modeling approaches.
This special issue of Metabolites focuses on metabolic modelling approaches at the crossroad between kinetic and stiochiometric models as well as between signal transduction and metabolism. We furthermore welcome new approaches to improve the predictive capacity of genome scale metabolic models and approaches that integrate multiomics datasets.
Prof. Christoph Kaleta
Dr. Ines Heiland
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed Open Access quarterly journal published by MDPI.
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- scale metabolic models
- reconstruction of metabolic networks
- data integration into metabolic modeling
- based modeling of metabolism
- analysis of high
- throughput datasets
- transcriptomic data
- proteomic data
- fluxomic data
- metabolomic data