Abstract
Microorganisms have drawn our attention for its distinguished capacity of electron transportation. Recently microbial fuel cells (MFC) have emerged as a novel biochemical catalytic device, the electron transfer mechanisms are of our primary concern to improve the efficiency of extracellular electron transfer (EET). Here we reconstruct the genome-scale metabolic network of Shewanella oneidensis MR-1 by merlin. Based on text mining, we focus on the electronic mediators, then we complete the reconstruction of the metabolic sub-network. We have identified the key reactions of EET process combined with the utilization of COBRA Toolbox, the simulated gene and reaction knockouts provided guidance to the strain genetic modification to a certain level.
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References
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Acknowledgements
The authors would also like to thank Professor Xiao Sun and the State Key Laboratory of Biological Electronics, Southeast University for their contribution to this study. This work was supported by Natural Science Foundation of China (No. 61472078).
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Wang, Y., Tong, Z., Xie, J. (2019). Reconstruction and in Silico Simulation Towards Electricigens Metabolic Network of Electronic Mediator. In: Zhang, YT., Carvalho, P., Magjarevic, R. (eds) International Conference on Biomedical and Health Informatics. ICBHI 2015. IFMBE Proceedings, vol 64. Springer, Singapore. https://doi.org/10.1007/978-981-10-4505-9_48
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DOI: https://doi.org/10.1007/978-981-10-4505-9_48
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