Lookup NU author(s): James Skelton,
Dr Jennifer Hallinan,
Professor Anil Wipat
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
© 2016 IEEE. Metabolic engineering is increasingly being used for the production of industrial products such as pharmaceuticals and enzymes. These chemicals have traditionally been chemically synthesized, but the application of synthetic biology techniques to microbes facilitates faster, cheaper production. Modelling and the integration of existing data can help inform the design of synthetic pathways. We applied an evolutionary algorithm to a flux balance model of metabolism in the industrially important bacterium Bacillus subtilis. Our target metabolites are sedoheptulose-7-phosphate and riboflavin, components of the pentose phosphate pathway. The algorithm combines the results of the flux balance analysis with phylogenetic information derived from data warehouses, to predict several potential interventions to the metabolic network, mostly involving knockouts of genes related to the pathway.
Author(s): Skelton DJ, Hallinan JS, Park S, Wipat A
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: CIBCB 2016 - Annual IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology
Year of Conference: 2016
Online publication date: 02/01/2017
Acceptance date: 02/04/2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Library holdings: Search Newcastle University Library for this item