Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/37590
Title: In Silico Modeling and Analysis for Improving Desulfurizing Bacterial Strains
Authors: AGGARWAL SHILPI
Keywords: Biodesulfurization, Rhodococcus erythropolis, Gordonia alkanivorans, Desulfurizing strains, Genome Scale Modeling, Desulfurization Activity
Issue Date: 17-Aug-2012
Source: AGGARWAL SHILPI (2012-08-17). In Silico Modeling and Analysis for Improving Desulfurizing Bacterial Strains. ScholarBank@NUS Repository.
Abstract: The stringent regulations to limit sulfur content have made desulfurization an important step in the pre-processing of fossil fuels. High expenses and energy requirements associated with the existing desulfurization methods necessitate the development of economical processes. In this regard, biodesulfurization is an inexpensive alternative which employs microbial cellular entities to reduce the sulfur content in fuels. Several bacterial strains have been studied for fuel desulfurization but their activities are too low for commercialization. In this work, we have developed in silico metabolic models for desulfurizing strains of Rhodococcus erythropolis and Gordonia alkanivorans to study and illustrate their desulfurization activities as an integrated part of their metabolism. These models provide better insights into their complex metabolic machineries and enable holistic studies of their entire metabolic network. Further, the model(s) analyses have enabled the design of metabolic-engineering strategies to alleviate their performance as desulfurizing biocatalysts.
URI: http://scholarbank.nus.edu.sg/handle/10635/37590
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