RobOKoD algorithm was, designed then implemented as part of a study in RobOKoD: microbial strain design for (over)production of target compounds. (http://fairdomhub.org/publications/236). It was used to generate a strain of e.coli for producing butanol, that was then compared to an experimental strain. It was shown to perform better than similar methods (OptKnock, and RobustKnock).
SEEK ID: https://fairdomhub.org/assays/269
Projects: Manchester Institute for Biotechnology
Biological problem addressed: Model Analysis Type
Organisms: No organisms
Created: 5th Sep 2014 at 17:40
Last updated: 8th Nov 2017 at 15:21
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Projects: SysMO DB, Whole body modelling of glucose metabolism in malaria patients, Manchester Institute for Biotechnology, FAIRDOM, ICYSB 2015 - International Practical Course in Systems Biology, GenoSysFat, DigiSal, FAIRDOM user meeting, FAIRDOM Templateshttps://orcid.org/0000-0003-4958-0184
Interested in systems + synthetic biology, biotechnology, mountaineering, swimming, running, and the occasional cup of tea. Once diagnosed as an ENFP.
Snapshots: Snapshot 1
Person responsible: Natalie Stanford
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FBA result of flux distribution in butanol producing e.coli strain, which designed using RobOKoD.
Butanol producing iNS142, redesigned using RobOKoD.
Creator: Natalie Stanford
Contributor: Natalie Stanford
Model type: Metabolic network
Model format: SBML
Organism: Not specified
Investigations: Designing a new way to predict engineering stra...
Modelling analyses: RobOKoD applied to e.coli for butanol production.
Matlab script that reproduces the model redesign results outlined in RobOKoD: microbial strain design for (over)production of target compounds (http://fairdomhub.org/publications/236).
Authors: Natalie Stanford, P. Millard, N. Swainston
Date Published: 24th Mar 2015
Journal: Front Cell Dev Biol
PubMed ID: 25853130
Citation: Front Cell Dev Biol. 2015 Mar 24;3:17. doi: 10.3389/fcell.2015.00017. eCollection 2015.