Metabolic pathway analysis for in silico design of efficient autotrophic production of advanced biofuels

Unrean, P., Tee, K.L. orcid.org/0000-0001-9458-733X and Wong, T.S. (2019) Metabolic pathway analysis for in silico design of efficient autotrophic production of advanced biofuels. Bioresources and Bioprocessing, 6 (1). 49.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 The Authors. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Keywords: Elementary mode analysis; Flux balance analysis; In silico efficient strain design; Genetic deletion simulation; Genetic overexpression simulation
Dates:
  • Accepted: 18 November 2019
  • Published: 30 November 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield)
Funding Information:
FunderGrant number
ROYAL SOCIETYIES\R3\170129
Depositing User: Symplectic Sheffield
Date Deposited: 11 Dec 2019 09:27
Last Modified: 11 Dec 2019 09:27
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: https://doi.org/10.1186/s40643-019-0282-4

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