Spirulina-in Silico-Mutations and Their Comparative Analyses in the Metabolomics Scale by Using Proteome-Based Flux Balance Analysis
Abstract
:1. Introduction
2. Materials and Methods
2.1. Proteome-Based Constraint Method
2.2. Metabolic Flux Simulation of the in Silico Knockout and Overexpression of Genes
2.3. Comparative Analysis of the Metabolic Fluxes and Pathway Mapping
3. Results
3.1. Comparative Analysis of the Simulated Proteome-based Fluxes and Their Correlation with Temperature Stress
3.2. Simulated Flux Distribution Represented by Pathway Mapping
3.3. In silico Knockout and Overexpression of Hik28 Client Proteins and the Proteins at the Interconnection of C- and N- Metabolism
4. Discussion
4.1. Proteome-Based GSMM
4.2. Possible Biological Meaning Add Link Between Stories
4.3. Application to System Biology
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Conflicts of Interest
References
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Lertampaiporn, S.; Senachak, J.; Taenkaew, W.; Khannapho, C.; Hongsthong, A. Spirulina-in Silico-Mutations and Their Comparative Analyses in the Metabolomics Scale by Using Proteome-Based Flux Balance Analysis. Cells 2020, 9, 2097. https://doi.org/10.3390/cells9092097
Lertampaiporn S, Senachak J, Taenkaew W, Khannapho C, Hongsthong A. Spirulina-in Silico-Mutations and Their Comparative Analyses in the Metabolomics Scale by Using Proteome-Based Flux Balance Analysis. Cells. 2020; 9(9):2097. https://doi.org/10.3390/cells9092097
Chicago/Turabian StyleLertampaiporn, Supatcha, Jittisak Senachak, Wassana Taenkaew, Chiraphan Khannapho, and Apiradee Hongsthong. 2020. "Spirulina-in Silico-Mutations and Their Comparative Analyses in the Metabolomics Scale by Using Proteome-Based Flux Balance Analysis" Cells 9, no. 9: 2097. https://doi.org/10.3390/cells9092097