Browsing by Subject "saccharomyces cerevisiae"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    An Integrative Genome-Based Metabolic Network Map of Saccharomyces Cerevisiae on Cytoscape: Toward Developing A Comprehensive Model
    (2022-03) Hamidi, Aram; Goebl, Mark; Cocklin, Ross; Wells, Clark; Harrington, Maureen
    Metabolic flux analyses and their more comprehensive forms, genome-scale metabolic networks (GSMNs), have gained tremendous attention in industrial and medical research. Saccharomyces cerevisiae (S. cerevisiae) is one of the organisms that has had its GSMN subjected to multiple frequent updates. The objective of this study is to develop a visualization tool for the GSMN of S. cerevisiae for educational and research purposes. This visualization tool is called the Master Metabolic Map of Saccharomyces cerevisiae (MMMSC). In this study, a metabolic database of S. cerevisiae developed by us was transferred to Cytoscape, a useful and efficient bioinformatics software platform for visualizing molecular networks. After the MMMSC was created, nodes, representing metabolites and enzymes, and edges, representing the chemical reactions that connect the nodes, were curated manually to develop a metabolic visualization map of the whole metabolic system of S. cerevisiae (Figure 4). In the discussion, examples are provided regarding possible applications of MMMSC to predict possible effects of the manipulation of the S. cerevisiae metabolome for industrial and medical purposes. Ultimately, it is concluded that further work is needed to complete the metabolic database of S. cerevisiae and the related MMMSC. In future studies, these tools may be integrated with other omics and other approaches, especially the directed-evolution approach, to increase cost and time efficiency of future research and to find solutions for complex and, thus far, poorly managed environmental and health problems.