Artikel: In silico engineering of
2018 Band 6, Seite(n) e6046
Abstract: Background: Rhamnolipids, biosurfactants with a wide range of biomedical applications, are amphiphilic molecules produced on the surfaces of or excreted extracellularly by bacteria including : Methods: We investigate in silico the metabolic ... ...
Abstract | Background: Rhamnolipids, biosurfactants with a wide range of biomedical applications, are amphiphilic molecules produced on the surfaces of or excreted extracellularly by bacteria including Methods: We investigate in silico the metabolic capabilities of Results: We identify a substantial increase in synthesis of rhamnolipids by the engineered model compared to the control model. We apply statistical and machine learning techniques on the metabolic reaction rates to identify distinct features on the structure of the variables and individual components driving the variation of growth and rhamnolipids production. We finally provide a computational framework for integrating multi-omics data and identifying latent pathways and genes for the production of rhamnolipids in Conclusions: We anticipate that our results will provide a versatile methodology for integrating multi-omics data for topological and functional analysis of |
---|---|
Sprache | Englisch |
Erscheinungsdatum | 2018-12-17 |
Erscheinungsland | United States |
Dokumenttyp | Journal Article |
ZDB-ID | 2703241-3 |
ISSN | 2167-8359 |
ISSN | 2167-8359 |
DOI | 10.7717/peerj.6046 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
Zusatzmaterialien
Kategorien
Über subito bestellen
Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.