Metabolic Networks
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Bioinformatics and Data Analysis".
Deadline for manuscript submissions: closed (31 January 2020) | Viewed by 13576
Special Issue Editor
Special Issue Information
Dear Colleagues,
Thanks to last year’s technological and methodological developments, metabolomics now allows us to detect and identify tens to hundreds of metabolites constituting metabolic fingerprints of environmental or genetic stresses. These metabolic profiles provide highly valuable information on the physiological status of cells, tissues or organisms. The current challenge lies in putting back these lists of metabolites in the context of genome scale metabolic networks. In fact, metabolic networks aim at gathering all the metabolic reactions which can occur in a given organism, hence allowing us to decipher the cascade of reactions connecting metabolites identified in metabolomics.
This Special Issue is devoted to reviewing the current practical aspects of metabolomic data analysis in the context of metabolic networks, starting from network reconstruction, metabolite mapping (with a special challenge in identifier mappings), then discussing state-of-the-art and new network computational analysis methods (graphs, constraint-based modelling) and emphasising the need for new visualisation paradigms to deal with these large networks. We also invite reviews and viewpoints which could help in filling the gap between network modelling and metabolomics data analysis. Finally, we also invite manuscripts showing the use of metabolic networks in the challenging task of metabolite identification.
Dr. Fabien Jourdan
Guest Editor
Manuscript Submission Information
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. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short 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 thoroughly refereed through a single-blind 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 monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Genome scale metabolic networks
- Metabolomics data network mapping
- Network reconstruction
- Network visualisation
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
