Nishu Goyal's Books

In silico Modeling and Experimental Validation for Improving Methanogenesis from CO2 via M. maripaludis

By: Nishu Goyal

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In silico Modeling and Experimental Validation for Improving Methanogenesis from CO2 via M. maripaludis

By: Nishu Goyal

This thesis explores the ability of M. maripaludis to capture and convert CO2 to methane in the presence of free nitrogen, and offers a consolidated review of the metabolic processes and applications of M. maripaludis. Further, it develops, validates and analyzes the first genome-scale metabolic model (iMM518) of M. maripaludis. Readers will discover, for the first time, the impact of nitrogen fixation on methane production. As such, the thesis will be of interest to researchers working on M. maripaludis, biofuels and bioenergy, systems biology modeling and its experimental validation, estimation of maintenance energy parameters, nitrogen fixing microbes, and bioremediation.

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140

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Springer

Published Date

ISBN 10

981102510X

ISBN 13

9789811025105

23 European Symposium on Computer Aided Process Engineering

Genome-scale metabolic network reconstruction and in silico analysis of Methanococcus maripaludis S2

By: Nishu Goyal,Hanifah Widiastuti,Iftekhar A. Karimi,George Zhou Zhi

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23 European Symposium on Computer Aided Process Engineering

Genome-scale metabolic network reconstruction and in silico analysis of Methanococcus maripaludis S2

By: Nishu Goyal,Hanifah Widiastuti,Iftekhar A. Karimi,George Zhou Zhi

Methane (Natural gas) is an important energy source for heating and electricity. Its production by methanogenic bacteria using different carbon substrates is widely known in nature. Methanococcus maripaludis S2, a methanogen is an excellent laboratory strain for which robust genetic tools are available, but a systems biology model to complement these tools is absent in the literature. To understand methanogenesis and to maximize the yield of methane by using carbon dioxide captured from a flue gas, a constraint-based genome-scale metabolic model of fully sequenced hydrogenotrophic methanogenic strain M. maripaludis S2 has been developed. This model serves to predict the effects of any perturbations and/or gene knockouts on different metabolic processes, which can guide or expedite experimental efforts. Genome-scale metabolic model of M. maripaludis S2 was reconstructed using pathway databases such as KEGG, METACYC and SEED to identify gene-protein-reaction (GPR) associations. Gap filling was done by reviewing published experimental literature and using basic biological understanding of the intracellular functions in methanogenic species. The model was validated using biomass growth data, and metabolic phenotypes predicted by our model are consistent with experimental observations.

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Elsevier Inc. Chapters

Published Date

ISBN 10

0128085290

ISBN 13

9780128085295

In silico Modeling and Experimental Validation for Improving Methanogenesis from CO2 via M. maripaludis

By: Nishu Goyal

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In silico Modeling and Experimental Validation for Improving Methanogenesis from CO2 via M. maripaludis

By: Nishu Goyal

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

140

Publisher

Springer

Published Date

ISBN 10

981102510X

ISBN 13

9789811025105

Book's by Nishu Goyal

In silico Modeling and Experimental Validation for Improving Methanogenesis from CO2 via M. maripaludis

In silico Modeling and Experimental Validation for Improving Methanogenesis from CO2 via M. maripaludis

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering

In silico Modeling and Experimental Validation for Improving Methanogenesis from CO2 via M. maripaludis

In silico Modeling and Experimental Validation for Improving Methanogenesis from CO2 via M. maripaludis

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