Metabolic Networks, Metabolism Regulation and Metabolomics in Systems Biology

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Integrative Metabolomics".

Deadline for manuscript submissions: closed (21 February 2021) | Viewed by 4525

Special Issue Editor


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Guest Editor
Centre for Systems Biomedicine, University of Luxembourg, Luxembourg
Interests: computational biology; systems biology; bioinformatics

Special Issue Information

Dear Colleagues,

Rapid advances are being made in the field of systems biology due to the interdisciplinary nature of the state-of-the-art research approaches and large-scale projects, along with the availability of new technologies and the vast amount of data. Collaborations between experimental biologists, computational scientists and clinical researchers open new perspectives for integrative studies. On the other hand, there are challenges connected to complexity management and data interpretation, as well as practical applications of the research results.

The objective of this Special Issue is to have an open access forum for advances in metabolism-related aspects of systems biology to be presented through original articles, reviews, data descriptors and protocols. Of particular interest are topics of metabolism regulation, metabolomics data analysis and interpretation.

Dr. Alexander Mazein
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.

Published Papers (1 paper)

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Research

22 pages, 1351 KiB  
Article
First Genome-Scale Metabolic Model of Dolosigranulum pigrum Confirms Multiple Auxotrophies
by Alina Renz, Lina Widerspick and Andreas Dräger
Metabolites 2021, 11(4), 232; https://doi.org/10.3390/metabo11040232 - 09 Apr 2021
Cited by 6 | Viewed by 4181
Abstract
Dolosigranulum pigrum is a quite recently discovered Gram-positive coccus. It has gained increasing attention due to its negative correlation with Staphylococcus aureus, which is one of the most successful modern pathogens causing severe infections with tremendous morbidity and mortality due to its [...] Read more.
Dolosigranulum pigrum is a quite recently discovered Gram-positive coccus. It has gained increasing attention due to its negative correlation with Staphylococcus aureus, which is one of the most successful modern pathogens causing severe infections with tremendous morbidity and mortality due to its multiple resistances. As the possible mechanisms behind its inhibition of S. aureus remain unclear, a genome-scale metabolic model (GEM) is of enormous interest and high importance to better study its role in this fight. This article presents the first GEM of D. pigrum, which was curated using automated reconstruction tools and extensive manual curation steps to yield a high-quality GEM. It was evaluated and validated using all currently available experimental data of D. pigrum. With this model, already predicted auxotrophies and biosynthetic pathways could be verified. The model was used to define a minimal medium for further laboratory experiments and to predict various carbon sources’ growth capacities. This model will pave the way to better understand D. pigrum’s role in the fight against S. aureus. Full article
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